Jobs

18
  • Β· 94 views Β· 17 applications Β· 27d

    Computer Vision Engineer

    Ukraine Β· Product Β· 3 years of experience Β· Intermediate MilTech πŸͺ–
    Employeer - defense tech company specializing in the development of innovative solutions in the direction of Embedded systems and radio frequency (RF) engineering. Responsibilities: ‒⁠ ⁠Develop and implement computer vision algorithms using both...

    Employeer - defense tech company specializing in the development of innovative solutions in the direction of Embedded systems and radio frequency (RF) engineering.

     

    Responsibilities:
    ‒⁠ ⁠Develop and implement computer vision algorithms using both classical techniques and neural networks.
    ‒⁠ ⁠Utilize and understand popular networks and their building blocks in computer vision tasks.

     

    Requirements:
    ‒⁠ ⁠Proven experience with classical computer vision and neural networks
    ‒⁠ ⁠Strong understanding of geometrical computer vision principles
    ‒⁠ ⁠Hands-on experience in implementing low-level CV algorithms
    ‒⁠ ⁠In-depth knowledge of popular computer vision networks and components
    ‒⁠ ⁠Ability to quickly navigate through recent research and trends in computer vision
    ‒⁠ ⁠Proficiency in Python or C++
    ‒⁠ ⁠Proficiency in SLAM/VIO
    ‒⁠ ⁠Experience with Linux
    ‒⁠ ⁠Extensive experience with common frameworks/libraries used for computer vision (OpenCV, numpy, PyTorch, ONNX, Eigen, etc.)

     

    Working conditions:

    • Full employment
    • Work from the office in Kyiv or full remote
    • Official employment
    • Reservation from mobilization
    • 24 calendar days of vacation and paid sick leave
    • A dynamic, innovative and large-scale team working on a number of new products and improving current products


    Lobby X is a socially responsible business, a unique combination of the job platform and full-cycle recruiting agency, specializing in hiring top talents for government, business, tech, miltech, and progressive non-governmental organizations in Ukraine and globally.

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  • Β· 87 views Β· 8 applications Β· 19d

    Data Scientist / Quantitative Researcher

    Full Remote Β· Worldwide Β· Product Β· 3 years of experience
    We are Onicore β€” fintech company specializing in developing products for cryptocurrency operations. Registered in the USA, our company is powered by a talented Ukrainian team, working across the globe. Now we’re on the hunt for a specialist who will...

    We are Onicore β€” fintech company specializing in developing products for cryptocurrency operations. 

    Registered in the USA, our company is powered by a talented Ukrainian team, working across the globe.
     

    πŸ“Š Now we’re on the hunt for a specialist who will drive the project of algorithmic trading

     

    Your skills:

    - 3+ years of experience in Data Science;

    - excellent command of Python, understanding of the principles of OOP;

    - deep knowledge in linear algebra, probability theory and mathematical statistics;

    - data collection and preprocessing (numpy, pandas, scikit-learn,ta-lib);

    - experience working with all types of classical machine learning (Supervised Learning, Unsupervised Learning, Reinforcement Learning);

    - development experience and deep understanding of the principles of the architectures: RNN, LSTM, GRU, CNN, Transformer in the field of analysis and prediction of time sequences (time series predictions);

    - confident use of both high-level and low-level APIs for TensorFlow (writing custom training loops, custom metrics & loss_functions). 

    Knowledge of PyTorch is welcome;

    - the ability to visualize the learning process using TensorBoard;

    - boosting neural networks (Distributed XGBoost/LightGBM);

    - visualization of results (matplotlib, seaborn).

     

    Would be a plus:

    - experience with currency markets;

    - PhD degree in the field of data science / machine learning.

     

    Your responsibilities:

    ● solving algorithmic trading problems: regression/autoregression, classification of timeseries/financial series, working with cryptocurrency quotes.


    What’s in it for you? 

    πŸ₯ Health first: Comprehensive medical insurance.

    πŸ€“ Keep growing: We cover courses, conferences, training sessions, and workshops.

    πŸ’ͺ Stay active mentally and physically : Sports / hobby / personal psychologist to fuel yourself.

    πŸ’Ό We've got your back: Access to legal assistance when you need it.

    πŸ§—β€β™‚οΈ Inspiring vibes: Join a motivated, goal-oriented team that supports each other.

    πŸ§‘β€πŸ’» Make a difference: Have a direct impact on shaping and growing the product.

    πŸ’» Work smarter: Corporate laptops to help you do your best work.


    Join our team and help us level up!

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  • Β· 28 views Β· 1 application Β· 10d

    Data Scientist / ML Engineer (AWS) for Fitness Studio Business

    Full Remote Β· Poland Β· Product Β· 3 years of experience Β· Upper-Intermediate
    Project Description: We are looking for a Data Scientist / Machine Learning Engineer to develop and implement an ML solution that predicts key business metrics for fitness studios (sales, visits, contract signings, customer indicators) based on...

    Project Description: 

    We are looking for a Data Scientist / Machine Learning Engineer to develop and implement an ML solution that predicts key business metrics for fitness studios (sales, visits, contract signings, customer indicators) based on historical data. The project will be deployed on AWS.

     

    iKizmet (www.ikizmet.com) is a fast-growing analytics software company specializing in the health and fitness industry. We are integrated with the largest POS and Scheduling platforms in our industry and our client list has some of the largest brands in the boutique fitness space. 

     

    Job Title: Data Scientist / ML Engineer (AWS) for Fitness Studio Business Forecasting Project

     

    Responsibilities: 

    β€’ Analyze data from fitness studios: sales, visits, contracts, and customer data. 

    β€’ Build end-to-end ML pipelines (data preprocessing β†’ model training β†’ testing β†’ deployment β†’ monitoring). 

    β€’ Develop forecasting models (regression, classification, time series). 

    β€’ Implement data pipelines and ML workflows on AWS (SageMaker, S3, Glue, Lambda). 

    β€’ Set up model performance monitoring and reporting. 

    β€’ Prepare reports and visualize results for business stakeholders. 

    β€’ Collaborate with team members and stakeholders to align tasks and communicate results. 

     

    Requirements: 

    β€’ 3+ years of experience as a Data Scientist / ML Engineer. 

    β€’ Strong Python skills (pandas, numpy, scikit-learn, PyTorch or equivalent). 

    β€’ Experience with ETL pipelines and working with large datasets. 

    β€’ Hands-on experience with time series, regression, and classification models. 

    β€’ Proven experience with AWS: SageMaker, S3, Glue, Lambda, CloudWatch. 

    β€’ Proficiency in SQL. 

    β€’ Ability to clearly explain technical solutions to business stakeholders. 

    β€’ English proficiency (Intermediate or higher) for working in an international environment. Nice to have: 

    β€’ Experience building BI dashboards (e.g., AWS QuickSight, Power BI, Tableau). 

    β€’ MLOps and CI/CD experience. 

     

    We offer: 

    β€’ Work on a real-world ML project with impactful business data. β€’ Collaboration with an international team. 

    β€’ Flexible schedule, fully remote work. 

    β€’ Opportunities for learning, professional growth, and career development. 

     

    Working hours: 11 AM - 7 PM CET

     

    Please let me know if you are interested in our offer.

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  • Β· 44 views Β· 6 applications Β· 11d

    ML Computer Vision Engineer (machine learning engineer) to $5500

    Full Remote Β· Countries of Europe or Ukraine Β· Product Β· 3 years of experience Β· Upper-Intermediate
    We are elai.io, an innovative AI-driven startup specializing in video generation. Recently acquired by Panopto β€” a leader in interactive video solutions β€” we’re now part of a growing team of around 200 professionals focused on advancing learning through...

    We are elai.io, an innovative AI-driven startup specializing in video generation.

     

    Recently acquired by Panopto β€” a leader in interactive video solutions β€” we’re now part of a growing team of around 200 professionals focused on advancing learning through powerful, interactive video technology.

     

    What You’ll Do as a Computer Vision Engineer:
    1. Research, design and implement appropriate computer vision algorithms for the main product (generating video);
    2. Research, find and use appropriate datasets;
    3. Define quality metrics, run machine learning experiments, and analyse results;
    4. Be on top of industry trends, research and propose new technologies.

     

    Our ideal candidate has:
    1. post-doc, PhD or Master’s degree in Computer Science or similar field;
    2. proven experience as a Machine Learning Engineer or similar role;
    3. deep knowledge of maths, probability, linear algebra, computer vision and algorithms;
    4. 3+ years of experience with Python;
    5. 2+ years of experience with PyTorch (TensorFlow experience is a plus);
    6. familiarity with state of the art networks, architectures and models in computer vision area (like UNet, Resnet, GAN, Transformers, Diffusion Models, NeRF, etc.);
    7. experience in deploying machine learning algorithms in production Base knowledge: git, docker, linux, bash;
    8. experience in 3d graphics or game development would be a great plus.

     

    We offer:
    1. Opportunity to work with a highly qualified international and friendly team
    2. Decent and timely payment fixed in USD
    3. The most flexible work schedule, including remote work
    4. Unlimited time off

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  • Β· 22 views Β· 3 applications Β· 20d

    Game Mathematician

    Full Remote Β· EU Β· Product Β· 3 years of experience Β· Upper-Intermediate
    We are looking for an experienced and driven Game Mathematician to join our client's Game Studio. What You Will Do: The Game Mathematician will work closely with the Senior Management and Game Design Teams to develop concepts and statistical documents...

    We are looking for an experienced and driven Game Mathematician to join our client's Game Studio.

     

    What You Will Do:

    The Game Mathematician will work closely with the Senior Management and Game Design Teams to develop concepts and statistical documents for unique gambling games. Such games may be traditional video slot games, table games or multiplayer casual-mobile style games that will contain a gambling element. This role will be working collaboratively with the other disciplines of the Games Inc team to ensure that slot games are not only entertaining but also fair and financially viable for the casino. Playing a vital role in balancing the interests of players and the casino while complying with industry regulations. A Game Mathematician will leverage their passion for playing various genres of games as well as developing their expert knowledge of player psychology to help devise unique and engaging Game content. You will help to create and maintain comprehensive documentation, create detailed experience flowcharts, wireframes, and detailed moment-to-moment gameplay experiences with distinct clarity. Additionally, the Game Mathematician will assist in the brainstorming, creation, and review of new game features for the Company’s future product line.

     

    Summary of Responsibilities:

    • Collaborate with the slots team to assist in the design and creation of unique gambling games;
    • Use mathematical models to create game rules, pay tables and volatility settings;
    • Consistently demonstrate an increasing knowledge of the gaming market and an empathy for all player types;
    • Help with the Mathematical Analysis of existing and new games to analyse the probability of winning and the expected return to the player for each game. Calculate the house edge and volatility of the games to ensure profitability for the casino. Optimising game parameters to achieve desired player engagement and revenue targets;
    • Ensure the integrity of the random number generator (RNG) used in slot games to guarantee fair and unpredictable outcomes;
    • Stay up-to-date with gaming regulations and ensure that all games meet legal requirements and standards;
    • Collect and analyse data from slot games to make data-driven decisions for game improvements;
    • Monitor and interpret player behaviour and game performance to identify areas for enhancement;
    • Conduct playtesting and quality assurance to identify and address issues with game mechanics or payouts;
    • Ensure that the game provides a satisfying player experience while adhering to the intended mathematical model;
    • Maintain detailed documentation of game specifications, mathematical models, and testing results.

    What you'll need to have:

    • Ability to build a greater knowledge of real money casino games, player psychology and the ability to help in the creation of ideas and designs for specific markets and players;
    • Understanding of the basic mathematical fundamentals of gambling games;
    • Passion for games and mobile gaming, including an understanding of mobile gambling products and trends;
    • Excellent written and verbal communication skills;
    • Familiarity with software tools used for game development and analysis;
    • Ability to work in a collaborative, multi-team environment, including product managers, engineers, artists, marketing, and support service personnel;
    • Good organisational, problem-solving and interpersonal skills.

    Other Duties and Responsibilities:

    • Participation in team brainstorming;
    • Contributing to the review of other designers’ games and concepts;
    • Contributing to the evolution of the team’s process and best practices;
    • Market and data analysis of current trends;
    • Assist with strategising future product plans and lines.

    Qualifications:

    • Experience designing games, including math or similar products that come into being through various channels, including original concepts, competitively relevant products, and business or market needs;
    • Knowledge or experience with various game development pipelines & methodologies;
    • Involvement within teams developing products is highly recommended;
    • Knowledge about games and/or the casino industry, including the current market landscape
    • Experience working with multiple disciplines, including artists, mathematicians, software developers, etc., in creating games or products.

    The company offers:

    • Time off: 25 days of annual leave per year are available;
    • Sick Leave & Public Holidays: Entitlement includes UK public holidays and statutory sick leave;
    • Flexible Working Hours: Flexible scheduling is supported to allow effective time management;
    • Remote work: Remote work is a great benefit and offers flexibility, helps improve work-life balance, and supports productivity across different locations;
    • Referral program: Great people know great people. Help grow the team by referring talented individuals who would be a strong fit!;
    • Employee Education Initiative: Twice a year, the company provides an opportunity to explore new interests outside of daily work, fostering curiosity and personal development;
    • Professional Development: Courses, conferences, workshops, and training programs that benefit both the employee and the company may be fully funded.

    If you find this opportunity right for you, don't hesitate to apply or get in touch with us if you have any questions!

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  • Β· 33 views Β· 0 applications Β· 6d

    Data Scientist (NLP + LLMs)

    Full Remote Β· Ukraine Β· 3 years of experience
    We are looking for a Data Scientist (NLP & LLMs) to join our team and work on the development of AI-powered solutions using modern NLP, Deep Learning, and multi-agent systems. Project description: We are building AI-driven fintech solutions using...

    We are looking for a Data Scientist (NLP & LLMs) to join our team and work on the development of AI-powered solutions using modern NLP, Deep Learning, and multi-agent systems.

     

    Project description:

     

    We are building AI-driven fintech solutions using LLMs, RAG, and autonomous agents to automate compliance, contracts, and risk analysis β€” streamlining workflows and boosting decision-making with intelligent insights.

     

    Requirements:

     

    • 3+ years of experience as a Data Scientist or in a related role
    • Strong knowledge of Deep Learning and Natural Language Processing (NLP)
    • Hands-on experience with Large Language Models (LLMs), RAG, and multi-agent systems
    • Proficiency in Python and relevant libraries such as PyTorch, TensorFlow, Transformers
    • Solid foundation in Computer Science, Mathematics, or Statistics (Bachelor’s or higher)

     

    Responsibilities:

     

    • Develop NLP tools for automated contract generation, review, and compliance analysis
    • Build AI agents to generate and update legal documents based on input and regulations
    • Implement systems for legal clause classification and risk/highlight detection
    • Create pipelines for legal request analysis and decision support (e.g., asset seizure)
    • Collaborate with legal teams to fine-tune models and balance AI vs rule-based outputs
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  • Β· 73 views Β· 18 applications Β· 30d

    Principal/Senior Marketing Analyst to $6000

    Full Remote Β· Worldwide Β· Product Β· 3 years of experience Β· Upper-Intermediate
    Atom Apps β€” a fast-growing, AI-powered mobile app company with 15M+ U.S. downloads. They specialize in end-to-end mobile app development, monetization, and distribution across various verticals. Now, Atom Apps is hiring a Marketing Analyst. Key...

    Atom Apps β€” a fast-growing, AI-powered mobile app company with 15M+ U.S. downloads. They specialize in end-to-end mobile app development, monetization, and distribution across various verticals.

     

    Now, Atom Apps is hiring a Marketing Analyst.

     

    Key responsibilities:

    • Evaluate paid campaign effectiveness and work closely with marketers to achieve better profitability.
    • Work closely with the marketing team to align on goals and optimize lead-to-revenue performance.
    • Use data to identify high-value segments, guide personalization strategies, and improve conversion rates across the funnel.
    • Perform cohort analyses, funnel evaluations, and churn investigations to uncover growth opportunities and user friction points on different acquisition channels.
    • Build scalable SQL queries, data models, and BI dashboards (e.g., in Tableau, Looker, Power BI) to support self-serve analytics and empower team autonomy.
    • Build and update LTV prediction models.
    • Collaborate with data engineering to ensure clean, scalable, and real-time data pipelines.
    • Be a thought partner to CMO, Head of Product, and CEO, while driving company bets, not just reporting metrics.
    • Try out different mathematical modeling methods to attribute organic traffic by channel.

     

    Must-have technology & skill requirements:

    • Advanced SQL: ability to write complex queries for large, distributed datasets.
    • Proficiency in data visualization tools such as Tableau, Looker, Power BI, or similar.
    • Strong skills in Python or R for statistical analysis, modeling, and automation.
    • Familiarity with data warehousing and analytics engineering tools, and creating ETL Models (e.g., dbt).

     

    Nice-to-have technology & skill requirements:

    • Experience in marketing analytics, business intelligence, or data analysis, ideally in tech.
    • Hands-on experience with multichannel campaign analysis (especially paid search, paid social, email, and web).

     

    Why Join Atom Apps?

    • 🌍 Fully Remote – Work from anywhere in the world
    • πŸ’° Competitive Pay & Benefits
    • 🌱 Growth Opportunities – International exposure & cross-functional collaboration
    • βš™οΈ Modern Tech Stack – Access to the latest AI models and marketing tools
    • 🀝 Global Team – Work with top-tier talent across continents
    • 🧠 Real Ownership – Make a visible impact on our product and business

       

    Join Us in Building the Future of AI-Powered Consumer Apps

    If you’re passionate about scaling mobile apps through performance marketing and want to work with a dynamic, international team, we want to hear from you!

     

     

     

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  • Β· 46 views Β· 5 applications Β· 26d

    Fractional Mathematician

    Part-time Β· Full Remote Β· Worldwide Β· 3 years of experience Β· Upper-Intermediate
    Swipe Games is seeking a Fractional Mathematician with deep iGaming expertise to design, analyze, and optimize game mechanics and payout structures. This is a hands-on, high-impact consulting role for an expert who understands both the creative and...

    Swipe Games is seeking a Fractional Mathematician with deep iGaming expertise to design, analyze, and optimize game mechanics and payout structures. This is a hands-on, high-impact consulting role for an expert who understands both the creative and regulatory demands of modern game math. You will collaborate closely with our core team to ensure our products deliver engaging, fair, and profitable experiences for players and partners.

    Key Requirements

    • Proven experience designing and analyzing game math for successful, high-load iGaming products
    • Deep understanding of probability theory, statistics, and stochastic modeling as applied to games of chance and skill
    • Familiarity with regulatory and compliance requirements for game mathematics in key iGaming markets
    • Experience with provably fair algorithms and cryptography in gaming contexts, RNG certification
    • Strong business orientation: ability to balance player engagement, fairness, and monetization
    • High level of ownership and initiative in delivering mathematical solutions

    Responsibilities

    • Design and validate mathematical models and payout structures for new and existing games
    • Collaborate with product, engineering, and compliance teams to ensure math models meet regulatory and business requirements
    • Analyze game performance, volatility, and player behavior to optimize engagement and profitability
    • Develop and review provably fair algorithms and cryptographic solutions for game outcomes
    • Provide ad-hoc mathematical support for partner integrations, risk management, and game audits
    • Document and present mathematical concepts and models to both technical and non-technical stakeholders

    What We Offer

    • Opportunity to shape the core mechanics of breakthrough iGaming products
    • Flexible, high-ownership engagement with a next-gen product team
    • Collaboration with industry experts in a dynamic, innovation-driven environment
    • Competitive compensation for fractional consulting

    If you are a mathematician with a passion for iGaming innovation and a proven record of delivering robust, compliant game math, we want to hear from you.

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  • Β· 46 views Β· 4 applications Β· 25d

    Senior Game Mathematician

    Full Remote Β· Countries of Europe or Ukraine Β· Product Β· 3 years of experience Β· Intermediate
    FAVBET Tech develops software that is used by millions of players around the world for the international company FAVBET Entertainment. We develop innovations in the field of gambling and betting through a complex multi-component platform which is capable...

    FAVBET Tech develops software that is used by millions of players around the world for the international company FAVBET Entertainment.
    We develop innovations in the field of gambling and betting through a complex multi-component platform which is capable to withstand enormous loads and provide a unique experience for players.
     

    FAVBET Tech does not organize and conduct gambling on its platform. Its main focus is software development.

    Main areas of work:

    • Betting/Gambling Platform Software Development β€” software development that is easy to use and personalized for each customer.
    • Highload Development β€” development of highly loaded services and systems.
    • CRM System Development β€” development of a number of services to ensure a high level of customer service, effective engagement of new customers and retention of existing ones.
    • Big Data β€” development of complex systems for processing and analysis of big data.
    • Cloud Services β€” we use cloud technologies for scaling and business efficiency.

     

    Responsibilities:

    • Developing and design the math side of casino games, mostly slot machines
    • Determine and calculate the probabilities, build game behavior and properties
    • Cooperate with product managers and developers
    • Come up with new and innovative ideas and also be aware of existing features in the industry
    • Maintenance of existing games
    • Work closely with development teams

     

    Requirements:

    • BS/MS degree in Mathematics, statistics or similar disciplines with a very strong mathematical skill
    • Experience in gaming industry 2+ years
    • Extremely details oriented, fast learning and highly motivated person
    • Creative, productive, working as part of a team, responsible
    • Basic programming knowledge
    • Advanced programming β€” advantage
    • Strong communication skills

     

    We offer:

    • 30 day off β€” we value rest and recreation;
    • Medical insurance for employees and the possibility of training employees at the expense of the company and gym membership;
    • Remote work or the opportunity β€” our own modern lofty office with spacious workplace, and brand-new work equipment (near Pochaina metro station);
    • Flexible work schedule β€” we expect a full-time commitment but do not track your working hours;
    • Flat hierarchy without micromanagement β€” our doors are open, and all teammates are approachable.

     

    During the war, the company actively supports the Ministry of Digital Transformation of Ukraine in the initiative to deploy an IT army and has already organized its own cyber warfare unit, which makes a crushing blow to the enemy’s IT infrastructure 24/7, coordinates with other cyber volunteers and plans offensive actions on its IT front line.

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  • Β· 39 views Β· 4 applications Β· 23d

    AI Data Architect – Agentic AI Platform for BFSI

    Full Remote Β· Countries of Europe or Ukraine Β· 3 years of experience Β· Upper-Intermediate
    We're seeking a talented Data Architect to join our innovative startup, developing Guppy (GenAI Unified Platform for Performance and Yield)β€”a groundbreaking platform designed specifically for Banking and Financial Services (BFSI) software engineering. At...

    We're seeking a talented Data Architect to join our innovative startup, developing Guppy (GenAI Unified Platform for Performance and Yield)β€”a groundbreaking platform designed specifically for Banking and Financial Services (BFSI) software engineering.

    At Guppy, we leverage cutting-edge Agentic AI to significantly improve software development and deployment processes. Our platform meets the rigorous security, compliance, and performance standards demanded by regulated financial environments, offering AI-powered agents specialized in:

    • Business Analyst Agents: managing requirements, documentation, and analysis.
    • PMO Agents: optimizing project governance, coordination, and operational excellence.

    We're growing fast, and now we're looking for an experienced Data Architect with deep AI expertise to join our core team, shaping Guppy's foundational data infrastructure and agent memory frameworks.

    🎯 Your Mission at Guppy

    You'll play a pivotal role in designing and implementing data infrastructure tailored for BFSI software engineering needs. You’ll directly collaborate with our developers to:

    • Architect and integrate scalable data solutions within the Eliza AI framework.
    • Develop sophisticated vector embedding systems for semantic knowledge management.
    • Design multi-modal memory structures supporting episodic and semantic AI agent memory.
    • Create efficient Retrieval-Augmented Generation (RAG) pipelines integrated with vector databases.
    • Build advanced knowledge graph structures to track and link project entities and artifacts.
    • Implement secure data partitions compliant with stringent financial industry standards.
    • Develop APIs enabling seamless bidirectional integrations with enterprise tools (e.g., JIRA, Project Server).
    • Establish robust observability systems for continuous monitoring of AI memory and retrieval performance.

    πŸ› οΈ Technical Skills Required

    • Solid expertise with the Eliza framework and agent coordination functionalities.
    • Proven hands-on experience with vector databases (e.g., Pinecone, Weaviate, Milvus, Chroma).
    • Practical knowledge of embedding models (OpenAI, Cohere, or similar open-source alternatives).
    • Deep understanding of LangChain/LlamaIndex for AI agent memory and integration.
    • Demonstrated experience in developing and scaling knowledge graph architectures.
    • Strong proficiency in building semantic search systems and efficient RAG architectures.
    • Experience managing Model Control Plane (MCP) for orchestration of LLMs and enterprise integrations.
    • Advanced skills in Python, including async programming patterns and API design.

    🌟 What You Bring (Soft Skills)

    • Ability to thrive and deliver in a dynamic, fast-paced startup environment.
    • Strong analytical thinking and comfort tackling complex technical challenges.
    • Excellent communication skills, capable of clearly articulating complex solutions to diverse stakeholders.
    • Comfortable directly collaborating with founders and cross-functional teams.

    πŸŽ–οΈ Why Join Guppy?

    • Cutting-edge technology: Contribute to a sophisticated AI platform with real-world BFSI impact.
    • Innovative environment: Engage in rapid iteration cycles and direct founder collaboration.
    • Impact and ownership: Your contributions will directly shape our strategic growth and technical direction.
    • Growth Potential: High likelihood of continued involvement and professional advancement.
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  • Β· 29 views Β· 1 application Β· 18d

    Senior Machine Learning Ops Engineer

    Full Remote Β· Ukraine, Poland Β· 3.5 years of experience Β· Upper-Intermediate
    Description Who is our client: Our client is a global data products and technology company. They are on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation. They work...

    Description

    Who is our client:
    Our client is a global data products and technology company. They are on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation.
    They work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. Delivering this through the AI-enabled media and data platform for the next era of advertising.
    The client is endlessly curious. Their team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world. Our client’s culture is based on mutual trust, sharing, building, and learning together. They value simplicity, maintainability, automation, and metrics.

     

    About this role:
    Client’s team consists of 100+ engineers, designers, data scientists, implementation, and product people, working in small inter-disciplinary teams closely with creative agencies, media agencies, and with our customers, to develop and scale our leading digital advertising optimization suite that delivers amazing outcomes for brands and audiences.
    Client’s platforms are built with Python, React, and Clojure, are deployed using CI/CD, heavily exploit automation, and run on AWS, GCP, k8s, Snowflake, BigQuery, and more. They serve 9 petabytes and 77 billion objects annually, optimize thousands of campaigns to maximise ROI, and deliver 20 billion ad impressions across the globe. You’ll play a leading role in significantly scaling this further.
    As client’s first Machine Learning Operations (MLOps) Engineer on the team, you will play a pivotal role in bridging the gap between platform engineering, data science, and software engineering, building systems that drive the deployment, monitoring, and scalability of machine learning models. You will design and implement pipelines, automate workflows, and optimise model performance in training and production environments. You’ll lead the creation of process, implementation of tools, and creation of solutions mature how we integrate machine learning solutions into our production systems, while maintaining reliability, security, and efficiency. You’ll additionally play a leading role in driving continuous improvement in model lifecycle management, from development to deployment and monitoring.

     

    Requirements

    Technical Skills:
    β€’ Proficiency in Python for ML development; familiarity with additional languages like Clojure is a plus.
    β€’ Expertise in cloud platforms (AWS, GCP) and data warehouses like Snowflake or BigQuery.
    β€’ Strong knowledge of MLOps frameworks (e.g., Kubeflow, MLflow) and DevOps tools (e.g., Jenkins, GitLab, Flux)
    β€’ Experience with containerization (Docker) and orchestration (Kubernetes)
    β€’ Experience with infrastructure-as-code tools like Terraform
    Machine Learning Knowledge:
    β€’ Solid understanding of machine learning principles, including model evaluation, explainability, and retraining workflows.
    β€’ Hands-on experience with ML frameworks such as TensorFlow or PyTorch
    Big Data Handling:
    β€’ Proficiency in SQL/NoSQL databases and distributed computing systems like Dataprov, EMR, Spark, Hadoop
    Soft Skills:
    β€’ Strong communication skills to collaborate across multidisciplinary teams.
    β€’ Problem-solving mindset with the ability to work in agile environments
    Experience:
    β€’ At least 4+ years in platform, software, or MLOps engineering roles
    β€’ Proven track record of deploying scalable ML solutions in production environments

     

    Job responsibilities

    Model Deployment and Operations:
    β€’ Deploy, monitor, and maintain machine learning models in production environments.
    β€’ Automate model training, retraining, versioning, and governance processes.
    β€’ Monitor model performance, detect drift, and ensure scalability and reliability of ML workflows
    Infrastructure and Pipeline Management:
    β€’ Design and implement scalable MLOps pipelines for data ingestion, transformation, and model deployment.
    β€’ Build infrastructure-as-code solutions using tools like Terraform to manage cloud environments (AWS, GCP)
    Collaboration with Teams:
    β€’ Work closely with data scientists to operationalize machine learning models.
    β€’ Collaborate with software engineers to integrate ML systems into broader platforms
    Cloud and Big Data Expertise:
    β€’ Utilize cloud services from AWS, GCP, and Snowflake for scalable data storage and processing.
    DevOps Integration:
    β€’ Implement CI/CD pipelines and automations to streamline ML model deployment.
    β€’ Use containerization tools like Docker and orchestration platforms like Kubernetes for scalable deployments
    β€’ Use Observability platforms to monitor pipeline and operational health of model production, delivery and execution

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  • Β· 52 views Β· 12 applications Β· 10d

    Senior Parsing and Data Extraction Engineer

    Full Remote Β· Worldwide Β· 3 years of experience
    Altss is the fastest-growing, AI-driven investor intelligence platform for alternative asset classes. We extract and structure data on LPs, funds, deals, and key people globally, at a scale and depth unmatched in the industry. What You'll Do Build...

    Altss is the fastest-growing, AI-driven investor intelligence platform for alternative asset classes. We extract and structure data on LPs, funds, deals, and key people globally, at a scale and depth unmatched in the industry.

     

    What You'll Do

    • Build advanced parsers for large-scale, real-time data extraction from diverse sources: websites, PDFs, filings, news, databases, LinkedIn, and more.
    • Architect robust, resilient scraping systems capable of bypassing sophisticated anti-bot and geo-blocking measures.
    • Develop and deploy entity resolution algorithms to link extracted data across sources (e.g., people, firms, deals).
    • Leverage OSINT methodologies to uncover β€œhidden” data and extract insights not available via standard APIs or databases.
    • Collaborate with LLM/NLP engineers to automate structuring, cleaning, and validation of parsed data at scale.
    • Continuously monitor, QA, and improve pipelines for speed, accuracy, and reliability.
    • Mentor and lead junior team members (if desired), helping set best practices and high engineering standards.

       

    Who You Are

    • Proven experience building industrial-grade parsing/scraping infrastructureβ€”handling millions of records and high data velocity.
    • Expert in Python (Scrapy, Playwright, Selenium, Requests, BeautifulSoup, etc.), or similar modern scraping stacks.
    • Hands-on with headless browsers, proxies, captcha-solving, geo-rotation, and anti-bot techniques.
    • Deep understanding of HTML/XML/JSON structure, regex, and automated data cleaning.
    • Experience with data lakes/warehousing (PostgreSQL, ClickHouse, or similar), and orchestrating ETL/ELT pipelines.
    • Knowledge of OSINT, data enrichment, and cross-entity resolution a major plus.
    • Familiar with LLM/NLP workflows for data extraction/normalization is a strong plus.
    • Highly autonomous, outcome-oriented, and able to move fast in a lean, globally distributed team.

       

    Bonus Points For

    • Prior work on investor, finance, or B2B datasets.
    • Contributions to open-source scraping, data extraction, or OSINT tools.
    • Strong background in security, privacy, or compliance in data collection.
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  • Β· 57 views Β· 1 application Β· 5d

    Machine Learning Engineer

    Full Remote Β· Countries of Europe or Ukraine Β· 3 years of experience Β· Upper-Intermediate
    AIMPROSOFT β€” Machine Learning Engineer Opportunity! Aimprosoft, a fast-growing outsourcing IT company, is expanding its staff and is looking to hire a Middle Machine Learning Engineer to work on AI SDLC and company’s projects. About the role: ...


    πŸš€AIMPROSOFT β€”  Machine Learning Engineer Opportunity!  

     
    Aimprosoft, a fast-growing outsourcing IT company, is expanding its staff and is looking to hire a Middle Machine Learning Engineer to work on AI SDLC and company’s projects.  

     

    🎯About the role:  

     

    In this role, you will be responsible for contribute to the company’s AI SDLC initiatives, integration of AI tools, and delivery of internal knowledge-sharing sessions. The role involves hands-on work with Computer Vision and AI Agent systems (RAG pipelines), as well as participation in client projects on an outsourced basis. The ideal candidate brings a strong product mindset, is proactive in adopting and implementing state-of-the-art AI technologies, and is keen to mentor others and promote a culture of continuous learning and technical excellence. 
     
    πŸ”₯What We Need From You: 

    • 3+ years as a Machine Learning Engineer, Data Scientist or AI Engineer
    • Π•xperience training and deploying Computer Vision models
    • Proficient in Python
    • Extensive experience with PyTorch, OpenCV, PIL/Pillow, and torchvision
    • Proven ability to train, fine-tune, and optimize neural networks on large-scale image datasets
    • Experience with model optimization techniques (ONNX conversion, quantization, pruning)
    • Proactive in sharing knowledge and fostering a culture of learning
    • English proficiency at B2 (Upper-Intermediate) level or higher.

       

    AI Agents & RAG Systems:

    • Practical experience building and deploying Retrieval-Augmented Generation (RAG) systems
    • Proficiency with vector databases and embedding techniques (Qdrant, Milvus)
    • Strong knowledge of Large Language Models (LLMs) integration and tuning
    • Hands-on experience with LangChain, Haystack, LlamaIndex, or similar agent frameworks
    • Knowledge of prompt engineering and chain-of-thought reasoning techniques

       

    Infrastructure & Deployment:

    • Proficiency with Flask/FastAPI for ML model serving and API development
    • Hands-on experience with Docker for containerization
    • Proficient in Git for version control

       

    Nice to Have:

    • Experience with Transformers library and Hugging Face ecosystem
    • Knowledge of multimodal AI systems combining vision and language models
    • Familiarity with advanced RAG techniques (hybrid search, re-ranking, query expansion)
    • Experience with agent memory systems and persistent context management
    • Familiarity with MLOps tools (MLflow, Weights & Biases)
    • Familiarity with model serving frameworks (TorchServe, BentoML, vLLM)
    • Experience deploying ML models and applications on AWS infrastructure.

     

    πŸ’ΌWhat We Offer: 

    • Opportunity to work with AI 
    • A competitive salary that appreciates your skills and experience 
    • Cozy atmosphere and modern approaches. We have neither bureaucracy nor strict management or "working under pressure" conditions 
    • Opportunity to implement your ideas, tools, and approaches. We are open to changes and suggestions aimed at improvement 

       

     

     

     

    More
  • Β· 52 views Β· 7 applications Β· 30d

    Data Scientist

    Full Remote Β· Ukraine Β· 3 years of experience Β· Intermediate
    Π‘Ρ‚Π°Π½ΡŒΡ‚Π΅ Ρ‡Π°ΡΡ‚ΠΈΠ½ΠΎΡŽ ΠΊΠΎΠΌΠ°Π½Π΄ΠΈ, Ρ‰ΠΎ ΡΡ‚Π²ΠΎΡ€ΡŽΡ” Ρ†ΠΈΡ„Ρ€ΠΎΠ²Ρƒ Ρ€Π΅Π°Π»ΡŒΠ½Ρ–ΡΡ‚ΡŒ! MODUS X β€” ΡƒΠΊΡ€Π°Ρ—Π½ΡΡŒΠΊΠ° Π†Π’-компанія, ΠΊΠΎΠΌΠ°Π½Π΄Π° 650+ Ρ–Π½ΠΆΠ΅Π½Π΅Ρ€Ρ–Π², Π°Ρ€Ρ…Ρ–Ρ‚Π΅ΠΊΡ‚ΠΎΡ€Ρ–Π², спСціалістів Π· Π±Π΅Π·ΠΏΠ΅ΠΊΠΈ Ρ‚Π° датасаєнтистів.​ Ми Ρ€ΠΎΠ·ΠΏΠΎΡ‡Π°Π»ΠΈ Ρ‚Π° ΠΏΡ€ΠΎΠ΄ΠΎΠ²ΠΆΡƒΡ”ΠΌΠΎ супровід Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΡ— трансформації Π”Π’Π•Πš, яка ΠΏΠ΅Ρ€ΡˆΠΎΡŽ Π²...

    Π‘Ρ‚Π°Π½ΡŒΡ‚Π΅ Ρ‡Π°ΡΡ‚ΠΈΠ½ΠΎΡŽ ΠΊΠΎΠΌΠ°Π½Π΄ΠΈ, Ρ‰ΠΎ ΡΡ‚Π²ΠΎΡ€ΡŽΡ” Ρ†ΠΈΡ„Ρ€ΠΎΠ²Ρƒ Ρ€Π΅Π°Π»ΡŒΠ½Ρ–ΡΡ‚ΡŒ!

     

    MODUS X β€” ΡƒΠΊΡ€Π°Ρ—Π½ΡΡŒΠΊΠ° Π†Π’-компанія, ΠΊΠΎΠΌΠ°Π½Π΄Π° 650+ Ρ–Π½ΠΆΠ΅Π½Π΅Ρ€Ρ–Π², Π°Ρ€Ρ…Ρ–Ρ‚Π΅ΠΊΡ‚ΠΎΡ€Ρ–Π², спСціалістів Π· Π±Π΅Π·ΠΏΠ΅ΠΊΠΈ Ρ‚Π° Π΄Π°Ρ‚асаєнтистів.​ Ми Ρ€ΠΎΠ·ΠΏΠΎΡ‡Π°Π»ΠΈ Ρ‚Π° ΠΏΡ€ΠΎΠ΄ΠΎΠ²ΠΆΡƒΡ”ΠΌΠΎ супровід Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΡ— трансформації Π”Π’Π•Πš, яка ΠΏΠ΅Ρ€ΡˆΠΎΡŽ Π² Π΅Π½Π΅Ρ€Π³Π΅Ρ‚ΠΈΡ†Ρ– Π£ΠΊΡ€Π°Ρ—Π½ΠΈ стала Π½Π° ΡˆΠ»ΡΡ… ΠΌΠ°ΡΡˆΡ‚Π°Π±Π½ΠΎΠ³ΠΎ Π΄Ρ–Π΄ΠΆΠΈΡ‚Π°Π»-пСрСтворСння. Нині Π²ΠΈΠ΄Ρ–Π»ΠΈΠ»ΠΈΡΡŒ Π² ΠΎΠΊΡ€Π΅ΠΌΡƒ ΠΊΠΎΠΌΠΏΠ°Π½Ρ–ΡŽ, Ρ‰ΠΎΠ±ΠΈ ділитися своїм досвідом Ρ‚Π° Π΅ΠΊΡΠΏΠ΅Ρ€Ρ‚ΠΈΠ·ΠΎΡŽ Π½Π°Π·ΠΎΠ²Π½Ρ–, Π·Π°Π»ΠΈΡˆΠ°ΡŽΡ‡ΠΈΡΡŒ Π†Π’-ΠΎΠΏΠΎΡ€ΠΎΡŽ для Ρ‚ΠΈΡ…, Ρ…Ρ‚ΠΎ нСсС світло Ρ‚Π° ΡΠΏΡ€ΠΈΡΡ” Π²Ρ–Π΄Π½ΠΎΠ²Π»Π΅Π½Π½ΡŽ ΠΊΡ€Π°Ρ—Π½ΠΈ.

    Π¨ΡƒΠΊΠ°Ρ”ΠΌΠΎ Middle Data ScientistΡ–st, для підсилСння Data Science-ΠΊΠΎΠΌΠ°Π½Π΄ΠΈ. Π―ΠΊΠΈΠΉ Π±ΡƒΠ΄Π΅ Π΄ΠΎΠ»ΡƒΡ‡Π΅Π½ΠΈΠΉ Π΄ΠΎ Π²ΠΈΠΊΠΎΠ½Π°Π½Π½Ρ ΠΏΠΎΠ²Π½ΠΎΠ³ΠΎ Ρ†ΠΈΠΊΠ»Ρƒ ΠΏΡ€ΠΎΠ΅ΠΊΡ‚Ρ–Π² β€” Π²Ρ–Π΄ Π°Π½Π°Π»Ρ–Π·Ρƒ Π΄Π°Π½ΠΈΡ… Π΄ΠΎ Π·Π°ΠΏΡƒΡΠΊΡƒ ΠΌΠΎΠ΄Π΅Π»Ρ– Ρƒ ΠΏΡ€ΠΎΠ΄Π°ΠΊΡˆΠ½, ΠΏΡ€Π°Ρ†ΡŽΡŽΡ‡ΠΈ Ρƒ ΠΊΡ€ΠΎΡ-Ρ„ΡƒΠ½ΠΊΡ†Ρ–ΠΎΠ½Π°Π»ΡŒΠ½Ρ–ΠΉ ΠΊΠΎΠΌΠ°Π½Π΄Ρ–.

     

    Π€ΡƒΠ½ΠΊΡ†Ρ–Ρ— посади:

    • Аналіз ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠΈ Ρ‚Π° ΠΏΠΎΡΡ‚Π°Π½ΠΎΠ²ΠΊΠ° Π·Π°Π΄Π°Ρ‡Ρ–
    • Π—Π±Ρ–Ρ€, очищСння Ρ‚Π° ΠΏΡ–Π΄Π³ΠΎΡ‚ΠΎΠ²ΠΊΠ° Π΄Π°Π½ΠΈΡ…
    • МодСлювання Ρ‚Π° Π΅ΠΊΡΠΏΠ΅Ρ€ΠΈΠΌΠ΅Π½Ρ‚ΠΈ
    • Валідація Ρ‚Π° ΠΏΠΎΡΡΠ½Π΅Π½Π½Ρ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ–Π²
    • Бпівпраця Ρ‚Π° ΠΊΠΎΠΌΡƒΠ½Ρ–кація
    • ΠŸΠΎΠ»Ρ–ΠΏΡˆΠ΅Π½Π½Ρ процСсів Ρ‚Π° ΠΌΠ΅Π½Ρ‚орство
    • R&D Ρ‚Π° Ρ€ΠΎΠ·Π²ΠΈΡ‚ΠΎΠΊ СкспСртизи

     

    ΠŸΡ€ΠΎΡ„Π΅ΡΡ–ΠΉΠ½Ρ– ΠΊΠΎΠΌΠΏΠ΅Ρ‚Π΅Π½Ρ†Ρ–Ρ—:

    • Вміння Ρ‡Ρ–Ρ‚ΠΊΠΎ Ρ„ΠΎΡ€ΠΌΡƒΠ»ΡŽΠ²Π°Ρ‚ΠΈ Π·Π°Π΄Π°Ρ‡Ρƒ Ρ‚Π° ΡΡ‚Π°Π²ΠΈΡ‚ΠΈ питання
    • Вміння ΠΏΠΎΠ΄ΠΈΠ²ΠΈΡ‚ΠΈΡΡŒ Π½Π° ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΡƒ ΠΏΡ–Π΄ Ρ–Π½ΡˆΠΈΠΌ ΠΊΡƒΡ‚ΠΎΠΌ Π·ΠΎΡ€Ρƒ
    • Python (pandas, NumPy, scikit-learn), SQL; Π²ΠΏΠ΅Π²Π½Π΅Π½Π° Ρ€ΠΎΠ±ΠΎΡ‚Π° Π· Git.
    • ΠšΠ»Π°ΡΠΈΡ‡Π½Ρ– ML-Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠΈ (Gradient Boosting β€” XGBoost/LightGBM/CatBoost, Random Forest, Logistic/Linear Regression, k-NN); знання ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ–Π² рСгуляризації, крос-Π²Π°Π»Ρ–Π΄Π°Ρ†Ρ–Ρ— Ρ‚Π° ΠΏΡ–Π΄Π±ΠΎΡ€Ρƒ Π³Ρ–ΠΏΠ΅Ρ€ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Ρ–Π².
    • Ймовірнісні Ρ€ΠΎΠ·ΠΏΠΎΠ΄Ρ–Π»ΠΈ, ΠΏΠ΅Ρ€Π΅Π²Ρ–Ρ€ΠΊΠ° Π³Ρ–ΠΏΠΎΡ‚Π΅Π·, A/B-тСсти, Ρ–Π½Ρ‚Π΅ΠΏΡ€Π΅Ρ‚ΠΎΠ²Π°Π½Ρ–ΡΡ‚ΡŒ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ.
    • PyTorch Π°Π±ΠΎ TensorFlow/Keras для Π·Π°Π΄Π°Ρ‡ CV Ρ‡ΠΈ NLP; уміння Π±ΡƒΠ΄ΡƒΠ²Π°Ρ‚ΠΈ Ρ‚Π° Ρ‚Ρ€Π΅Π½ΡƒΠ²Π°Ρ‚ΠΈ ΠΌΠΎΠ΄Π΅Π»Ρ– Π· TensorBoard-логуванням.
    • MLflow / Weights & Biases, Docker; Π±Π°Π·ΠΎΠ²Π΅ розуміння CI/CD для ML-ΠΏΠ°ΠΉΠΏΠ»Π°ΠΉΠ½Ρ–Π².
    • ΠŸΡ€Π°ΠΊΡ‚ΠΈΡ‡Π½ΠΈΠΉ досвід Ρƒ Ρ…ΠΎΡ‡Π° Π± ΠΎΠ΄Π½Ρ–ΠΉ Ρ–Π· ΠΏΠ»Π°Ρ‚Ρ„ΠΎΡ€ΠΌ (AWS, GCP, Azure) для розгортання Π°Π±ΠΎ трСнування ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ.
    • ΠΠ°ΡΠ²Π½Ρ–ΡΡ‚ΡŒ сСртифікації ΠΏΠΎ Data&AI
    • Вміння Π½Π΅Π·Π°Π»Π΅ΠΆΠ½ΠΎ пСрСвіряти Π²Ρ…Ρ–Π΄Π½Ρ– Π΄Π°Π½Ρ– Ρ‚Π° Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚
    • ΠΠ²Ρ‚ΠΎΠ½ΠΎΠΌΠ½Ρ–ΡΡ‚ΡŒ
    • ΠšΠΎΠΌΡƒΠ½Ρ–ΠΊΠ°Π±Π΅Π»ΡŒΠ½Ρ–ΡΡ‚ΡŒ

     

    Ми ΠΏΡ€ΠΎΠΏΠΎΠ½ΡƒΡ”ΠΌΠΎ:

    • ΠžΡ„Ρ–Ρ†Ρ–ΠΉΠ½Π΅ ΠΏΡ€Π°Ρ†Π΅Π²Π»Π°ΡˆΡ‚ΡƒΠ²Π°Π½Π½Ρ
    • KΠΎΠ½ΠΊΡƒΡ€Π΅Π½Ρ‚Π½ΠΈΠΉ Ρ€Ρ–Π²Π΅Π½ΡŒ Π·Π°Ρ€ΠΎΠ±Ρ–Ρ‚Π½ΠΎΡ— ΠΏΠ»Π°Ρ‚ΠΈ Ρ‚Π° ΡΠΎΡ†Ρ–Π°Π»ΡŒΠ½Ρ– Π³Π°Ρ€Π°Π½Ρ‚Ρ–Ρ—
    • ΠšΠΎΡ€ΠΏΠΎΡ€Π°Ρ‚ΠΈΠ²Π½Π° ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠ° ΠΌΠ΅Π΄ΠΈΡ‡Π½ΠΎΠ³ΠΎ страхування Ρ‚Π° ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠ° психологічної ΠΏΡ–Π΄Ρ‚Ρ€ΠΈΠΌΠΊΠΈ співробітників
    • Π ΠΎΠ±ΠΎΡ‚Ρƒ Π² Ρ–Π½Π½ΠΎΠ²Π°Ρ†Ρ–ΠΉΠ½ΠΎΠΌΡƒ ΠΏΠ°Ρ€ΠΊΡƒ Unit City
    • ΠœΠΎΠΆΠ»ΠΈΠ²ΠΎΡΡ‚Ρ– навчання Ρ‚Π° ΠΏΡ€ΠΎΡ„Ссійний Ρ€ΠΎΠ·Π²ΠΈΡ‚ΠΎΠΊ (ΠΎΠ½Π»Π°ΠΉΠ½ курси, Π°ΡƒΠ΄ΠΈΡ‚ΠΎΡ€Π½Ρ– Ρ‚Ρ€Π΅Π½Ρ–Π½Π³ΠΈ, майстСр-класи, профСсійні ΡΠΏΡ–Π»ΡŒΠ½ΠΎΡ‚ΠΈ)

     

    Ми Ρ†Ρ–Π½ΡƒΡ”ΠΌΠΎ ваш інтСрСс Π΄ΠΎ MODUS X Ρ‚Π° Π³ΠΎΡ‚ΠΎΠ²Π½Ρ–ΡΡ‚ΡŒ ΠΏΡ€ΠΈΠΉΠΌΠ°Ρ‚ΠΈ Π²ΠΈΠΊΠ»ΠΈΠΊΠΈ. Π’ΡƒΡ‚ ΠΊΠΎΠΆΠ΅Π½ ΠΌΠΎΠΆΠ΅ Ρ€ΠΎΠ·ΠΊΡ€ΠΈΡ‚ΠΈ свої Ρ‚Π°Π»Π°Π½Ρ‚ΠΈ ΠΉ Π·Ρ€ΠΎΠ±ΠΈΡ‚ΠΈ внСсок Ρƒ ΡΠΏΡ–Π»ΡŒΠ½ΠΈΠΉ успіх. Ми Ρ–нвСстуємо Π² Ρ€ΠΎΠ·Π²ΠΈΡ‚ΠΎΠΊ, Π΄ΠΎΠΏΠΎΠΌΠ°Π³Π°Ρ”ΠΌΠΎ ΠΎΡ‚Ρ€ΠΈΠΌΡƒΠ²Π°Ρ‚ΠΈ Π½ΠΎΠ²Ρ– знання Ρ‚Π° Π΄ΠΎΡΡΠ³Π°Ρ‚ΠΈ профСсійних Ρ†Ρ–Π»Π΅ΠΉ.

     

    Наша ΠΊΠΎΠΌΠ°Π½Π΄Π° ΡƒΠ²Π°ΠΆΠ½ΠΎ розглядає всі заявки, Ρ– ΡΠΊΡ‰ΠΎ ваша ΠΊΠ°Π½Π΄ΠΈΠ΄Π°Ρ‚ΡƒΡ€Π° Π²Ρ–Π΄ΠΏΠΎΠ²Ρ–Π΄Π°Ρ” Π²ΠΈΠΌΠΎΠ³Π°ΠΌ вакансії, Ρ€Π΅ΠΊΡ€ΡƒΡ‚Π΅Ρ€ обов’язково Π·Π²β€™ΡΠΆΠ΅Ρ‚ΡŒΡΡ Π· Π²Π°ΠΌΠΈ Π²ΠΏΡ€ΠΎΠ΄ΠΎΠ²ΠΆ 2 Ρ‚ΠΈΠΆΠ½Ρ–Π².

     

    Π‘Ρ–Π»ΡŒΡˆΠ΅ Ρ–Π½Ρ„ΠΎΡ€ΠΌΠ°Ρ†Ρ–Ρ— ΠΏΡ€ΠΎ ΠΊΠΎΠΌΠΏΠ°Π½Ρ–ΡŽ Ρ‚Π° Π½Π°Ρˆ досвід Π½Π° ΠΎΡ„Ρ–Ρ†Ρ–ΠΉΠ½Ρ–ΠΉ сторінці MODUS X Π² LinkedIn.

     

    ΠΠ°ΠΏΡ€Π°Π²Π»ΡΡŽΡ‡ΠΈ Ρ€Π΅Π·ΡŽΠΌΠ΅ Π½Π° Ρ†ΡŽ Π²Π°ΠΊΠ°Π½ΡΡ–ΡŽ, Π’ΠΈ Π½Π°Π΄Π°Ρ”Ρ‚Π΅ Π·Π³ΠΎΠ΄Ρƒ Π’ΠžΠ’ Β«ΠœΠžΠ”Π£Π‘ Π†ΠšΠ‘Β» Π½Π° ΠΎΠ±Ρ€ΠΎΠ±ΠΊΡƒ Π½Π°Π΄Π°Π½ΠΈΡ… Π’Π°ΠΌΠΈ ΠΏΠ΅Ρ€ΡΠΎΠ½Π°Π»ΡŒΠ½ΠΈΡ… Π΄Π°Π½ΠΈΡ… Π·Π³Ρ–Π΄Π½ΠΎ Π—Π°ΠΊΠΎΠ½Ρƒ Π£ΠΊΡ€Π°Ρ—Π½ΠΈ Β«ΠŸΡ€ΠΎ захист ΠΏΠ΅Ρ€ΡΠΎΠ½Π°Π»ΡŒΠ½ΠΈΡ… Π΄Π°Π½ΠΈΡ…Β». Π—Π³ΠΎΠ΄Π° Π½Π°Π΄Π°Ρ”Ρ‚ΡŒΡΡ Π² Ρ‚ΠΎΠΌΡƒ числі для Ρ—Ρ… ΠΎΠ±Ρ€ΠΎΠ±ΠΊΠΈ Π² Π·ΠΎΠ²Π½Ρ–ΡˆΠ½Ρ–Ρ… систСмах, Π· ΠΌΠ΅Ρ‚ΠΎΡŽ супроводТСння процСсу Π½Π°ΠΉΠΌΡƒ.

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  • Β· 40 views Β· 10 applications Β· 30d

    Middle Data Scientist

    Full Remote Β· Ukraine Β· Product Β· 3 years of experience
    Π’ΠžΠ’ Β«Π†Π‘ Π‘Π†Π’Π†Β» β€” ΡƒΠΊΡ€Π°Ρ—Π½ΡΡŒΠΊΠ° компанія, Ρ‰ΠΎ ΡΠΏΠ΅Ρ†Ρ–Π°Π»Ρ–Π·ΡƒΡ”Ρ‚ΡŒΡΡ Π½Π° створСнні Ρ–Π½Π½ΠΎΠ²Π°Ρ†Ρ–ΠΉΠ½ΠΎΠ³ΠΎ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠ½ΠΎΠ³ΠΎ забСзпСчСння для Ρ€ΠΈΡ‚Π΅ΠΉΠ»-сСктору, Ρ€ΠΎΠ·Ρ€ΠΎΠ±Π»ΡΡŽΡ‡ΠΈ Ρ€Ρ–ΡˆΠ΅Π½Π½Ρ, які максимально Π·Π°Π΄ΠΎΠ²ΠΎΠ»ΡŒΠ½ΡΡŽΡ‚ΡŒ ΠΏΠΎΡ‚Ρ€Π΅Π±ΠΈ ΠΊΠ»Ρ–Ρ”Π½Ρ‚Ρ–Π². ΠΠ°ΡˆΡ– Ρ€ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠΈ щодня Π΄ΠΎΠ²ΠΎΠ΄ΡΡ‚ΡŒ свою Π½Π°Π΄Ρ–ΠΉΠ½Ρ–ΡΡ‚ΡŒ Ρ–...

    Π’ΠžΠ’ Β«Π†Π‘ Π‘Π†Π’Π†Β» β€” ΡƒΠΊΡ€Π°Ρ—Π½ΡΡŒΠΊΠ° компанія, Ρ‰ΠΎ ΡΠΏΠ΅Ρ†Ρ–Π°Π»Ρ–Π·ΡƒΡ”Ρ‚ΡŒΡΡ Π½Π° ΡΡ‚Π²ΠΎΡ€Π΅Π½Π½Ρ– Ρ–Π½Π½ΠΎΠ²Π°Ρ†Ρ–ΠΉΠ½ΠΎΠ³ΠΎ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠ½ΠΎΠ³ΠΎ забСзпСчСння для Ρ€ΠΈΡ‚Π΅ΠΉΠ»-сСктору, Ρ€ΠΎΠ·Ρ€ΠΎΠ±Π»ΡΡŽΡ‡ΠΈ Ρ€Ρ–ΡˆΠ΅Π½Π½Ρ, які максимально Π·Π°Π΄ΠΎΠ²ΠΎΠ»ΡŒΠ½ΡΡŽΡ‚ΡŒ ΠΏΠΎΡ‚Ρ€Π΅Π±ΠΈ ΠΊΠ»Ρ–Ρ”Π½Ρ‚Ρ–Π².

     

    ΠΠ°ΡˆΡ– Ρ€ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠΈ щодня Π΄ΠΎΠ²ΠΎΠ΄ΡΡ‚ΡŒ свою Π½Π°Π΄Ρ–ΠΉΠ½Ρ–ΡΡ‚ΡŒ Ρ– Π΅Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½Ρ–ΡΡ‚ΡŒ Ρƒ Ρ€Π΅Π°Π»ΡŒΠ½ΠΈΡ… ΡƒΠΌΠΎΠ²Π°Ρ… ΡƒΠΊΡ€Π°Ρ—Π½ΡΡŒΠΊΠΎΠ³ΠΎ Ρ€ΠΈΡ‚Π΅ΠΉΠ»Ρƒ.

     

    Ми ΡˆΡƒΠΊΠ°Ρ”ΠΌΠΎ Ρƒ Π½Π°ΡˆΡƒ ΠΊΠΎΠΌΠ°Π½Π΄Ρƒ Middle Data Scientist.

     

    Для нас Π²Π°ΠΆΠ»ΠΈΠ²ΠΎ:

    • Досвід Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Π½Π° Π°Π½Π°Π»ΠΎΠ³Ρ–Ρ‡Π½Ρ–ΠΉ посаді Π²Ρ–Π΄ 3-Ρ… Ρ€ΠΎΠΊΡ–Π²
    • Знання Python Ρ‚Π° SQL
    • Знання Π±Ρ–Π±Π»Ρ–ΠΎΡ‚Π΅ΠΊ: pandas, numpy, pyplot, scikit-learn, tensorflow, cuda, PyTorch
    • Розуміння спСцифіки Π΄Π°Π½ΠΈΡ… Ρƒ ΠΊΠΎΠ½Ρ‚Сксті бізнСсу (ΡΠ΅Π·ΠΎΠ½Π½Ρ–ΡΡ‚ΡŒ, Ρ€Π΅Π³Ρ–ΠΎΠ½Π°Π»ΡŒΠ½Ρ– особливості, ΠΏΠΎΠ²Π΅Π΄Ρ–Π½ΠΊΠΎΠ²Ρ– ΠΏΠ°Ρ‚Π΅Ρ€Π½ΠΈ ΠΊΠ»Ρ–Ρ”Π½Ρ‚Ρ–Π²)
    • ΠŸΡ€Π°ΠΊΡ‚ΠΈΡ‡Π½ΠΈΠΉ досвід Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Π· ΠΌΠΎΠ΄Π΅Π»ΡΠΌΠΈ: класифікації, рСгрСсії, кластСризації; Π΄Π΅Ρ€Π΅Π² Ρ€Ρ–ΡˆΠ΅Π½ΡŒ, ансамблів (Random Forest, XGBoost); Π½Π΅ΠΉΡ€ΠΎΠ½Π½ΠΈΡ… ΠΌΠ΅Ρ€Π΅ΠΆ (Π±Π°Π·ΠΎΠ²ΠΈΠΉ Ρ€Ρ–Π²Π΅Π½ΡŒ)
    • Знання ΠΌΠ΅Ρ‚Ρ€ΠΈΠΊ якості ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Ρ‚Π° Π²ΠΌΡ–ння Ρ—Ρ… Ρ–Π½Ρ‚Π΅Ρ€ΠΏΡ€Π΅Ρ‚ΡƒΠ²Π°Ρ‚ΠΈ
    • Розуміння Ρ‚Π΅ΠΎΡ€Ρ–Ρ— ймовірностСй, ΠΌΠ°Ρ‚Π΅ΠΌΠ°Ρ‚ΠΈΡ‡Π½ΠΎΡ— статистики, Π»Ρ–Π½Ρ–ΠΉΠ½ΠΎΡ— Π°Π»Π³Π΅Π±Ρ€ΠΈ Ρ‚Π° Ρ‡ΠΈΡΠ΅Π»ΡŒΠ½ΠΈΡ… ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ–Π²
    • Вміння ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΡ‚ΠΈ статистичний Π°Π½Π°Π»Ρ–Π· (Π³Ρ–ΠΏΠΎΡ‚Π΅Π·ΠΈ, тСстування, корСляції)
    • Досвід Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Π· Ρ…ΠΌΠ°Ρ€Π½ΠΈΠΌΠΈ інструмСнтами Π±ΡƒΠ΄Π΅ плюсом
    • Π’Ρ–Π΄ΠΏΠΎΠ²Ρ–Π΄Π°Π»ΡŒΠ½Π΅ Ρ‚Π° ΡΠ΅Ρ€ΠΉΠΎΠ·Π½Π΅ ставлСння Π΄ΠΎ Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ

       

    Π£ Π½Π°ΡˆΡ–ΠΉ ΠΊΠΎΠΌΠ°Π½Π΄Ρ– Ρ‚ΠΈ Π±ΡƒΠ΄Π΅Ρˆ:

    • Π—Π±ΠΈΡ€Π°Ρ‚ΠΈ історичні Π΄Π°Π½Ρ– ΠΏΡ€ΠΎ ΠΏΡ€ΠΎΠ΄Π°ΠΆΡ–, Ρ†Ρ–Π½ΠΈ, запаси, ΠΌΠ°Ρ€ΠΊΠ΅Ρ‚ΠΈΠ½Π³ΠΎΠ²Ρƒ Π°ΠΊΡ‚ΠΈΠ²Π½Ρ–ΡΡ‚ΡŒ, ΡΠ΅Π·ΠΎΠ½Π½Ρ–ΡΡ‚ΡŒ, ΠΏΡ€ΠΎΠΌΠΎΠ°ΠΊΡ†Ρ–Ρ—, ΠΏΠΎΠ³ΠΎΠ΄Ρƒ, ΠΏΠΎΠ΄Ρ–Ρ— Ρ‚ΠΎΡ‰ΠΎ
    • Π—Π΄Ρ–ΠΉΡΠ½ΡŽΠ²Π°Ρ‚ΠΈ ΠΏΠΎΠΏΠ΅Ρ€Π΅Π΄Π½ΡŽ ΠΎΠ±Ρ€ΠΎΠ±ΠΊΡƒ: очищСння, заповнСння пропусків, трансформація, нормалізація Π΄Π°Π½ΠΈΡ…
    • ΠŸΡ€ΠΎΠ²ΠΎΠ΄ΠΈΡ‚ΠΈ EDA (exploratory data analysis) для виявлСння закономірностСй Ρƒ ΠΏΠΎΠΏΠΈΡ‚Ρ–
    • Π‘Ρ‚Π²ΠΎΡ€ΡŽΠ²Π°Ρ‚ΠΈ Ρ‚Π° Ρ‚Ρ€Π΅Π½ΡƒΠ²Π°Ρ‚ΠΈ ΠΌΠΎΠ΄Π΅Π»Ρ– часових рядів (ARIMA, SARIMA Ρ‚ΠΎΡ‰ΠΎ) Ρ‚Π°/Π°Π±ΠΎ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ машинного навчання (XGBoost, Random Forest)
    • ΠŸΡ€Π°Ρ†ΡŽΠ²Π°Ρ‚ΠΈ Π· Ρ„Ρ–Ρ‡Π΅Ρ–Π½ΠΆΠΈΠ½Ρ–Ρ€ΠΈΠ½Π³ΠΎΠΌ для покращСння точності ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ
    • ΠŸΠΎΡ€Ρ–Π²Π½ΡŽΠ²Π°Ρ‚ΠΈ точності Ρ€Ρ–Π·Π½ΠΈΡ… ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Ρ‚Π° ΠΎΠ±ΠΈΡ€Π°Ρ‚ΠΈ ΠΎΠΏΡ‚ΠΈΠΌΠ°Π»ΡŒΠ½ΠΈΠΉ ΠΏΡ–Π΄Ρ…Ρ–Π΄
    • Π—Π΄Ρ–ΠΉΡΠ½ΡŽΠ²Π°Ρ‚ΠΈ Π½Π°Π»Π°ΡˆΡ‚ΡƒΠ²Π°Π½Π½Ρ ΠΌΠ΅Ρ‚Ρ€ΠΈΠΊ якості (MAPE, RMSE, WAPE, sMAPE Ρ‚ΠΎΡ‰ΠΎ)
    • Розробляти Π±Π°Π·ΠΎΠ²Ρ– Ρ‚Π° Π°Π½ΡΠ°ΠΌΠ±Π»Π΅Π²Ρ– ΠΌΠΎΠ΄Π΅Π»Ρ–, ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΡ‚ΠΈ A/B-тСсти ΠΏΡ€ΠΈ нСобхідності
    • Π—Π΄Ρ–ΠΉΡΠ½ΡŽΠ²Π°Ρ‚ΠΈ Π²Π°Π»Ρ–Π΄Π°Ρ†Ρ–ΡŽ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Π½Π° Ρ‚Сстових Π²ΠΈΠ±Ρ–Ρ€ΠΊΠ°Ρ…
    • ΠŸΡ€ΠΎΠ²ΠΎΠ΄ΠΈΡ‚ΠΈ пСрСтрСнування ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Ρƒ Ρ€Π°Π·Ρ– Π·ΠΌΡ–Π½ Π² Ρ€ΠΈΠ½ΠΊΠΎΠ²ΠΎΠΌΡƒ сСрСдовищі
    • Розробляти систСми сповіщСння ΠΏΡ€ΠΈ Π·Π½ΠΈΠΆΠ΅Π½Π½Ρ– точності
    • ΠŸΡ€ΠΎΠ²ΠΎΠ΄ΠΈΡ‚ΠΈ постійний ΠΌΠΎΠ½Ρ–Ρ‚ΠΎΡ€ΠΈΠ½Π³ якості ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·Ρ–Π²

       

    Ми ΠΏΡ€ΠΎΠΏΠΎΠ½ΡƒΡ”ΠΌΠΎ:

    • Π¨ΠΈΡ€ΠΎΠΊΡ– моТливості для профСсійного Ρ€ΠΎΠ·Π²ΠΈΡ‚ΠΊΡƒ Ρ‚Π° Ρ†Ρ–ΠΊΠ°Π²Ρ– ΠΏΡ€ΠΎΡ”ΠΊΡ‚ΠΈ
    • Π“Ρ–Π΄Π½Ρƒ Ρ‚Π° ΡΠ²ΠΎΡ”часну Π²ΠΈΠΏΠ»Π°Ρ‚Ρƒ фінансової Π²ΠΈΠ½Π°Π³ΠΎΡ€ΠΎΠ΄ΠΈ
    • Π’Ρ–Π΄Π΄Π°Π»Π΅Π½ΠΈΠΉ Π°Π±ΠΎ Π³Ρ–Π±Ρ€ΠΈΠ΄Π½ΠΈΠΉ Π³Ρ€Π°Ρ„Ρ–ΠΊ Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ (Ρ– Π² ΠΎΡ„ісі, Ρ– Π΄ΠΈΡΡ‚Π°Π½Ρ†Ρ–ΠΉΠ½ΠΎ): Π· 9:00 Π΄ΠΎ 18:00
    • ΠœΠ΅Π΄ΠΈΡ‡Π½Π΅ страхування Ρ‚Π° Π²ΠΈΠ³Ρ–Π΄Π½Ρ– ΡƒΠΌΠΎΠ²ΠΈ для страхування Ρ€ΠΎΠ΄ΠΈΡ‡Ρ–Π² Ρ– Π΄Ρ–Ρ‚Π΅ΠΉ
    • Π’Ρ–Π΄Π½ΠΎΠ²Π»Π΅Π½Ρ– Π²ΠΈΡ…Ρ–Π΄Π½Ρ– Ρƒ Π΄Π΅Ρ€ΠΆΠ°Π²Π½Ρ– свята
    • Π—Π½ΠΈΠΆΠΊΠΈ Ρ‚Π° Π΄ΠΎΠ΄Π°Ρ‚ΠΊΠΎΠ²Ρ– Ρ„Ρ–ΡˆΠΊΠΈ Π²Ρ–Π΄ ΠΏΠ°Ρ€Ρ‚Π½Π΅Ρ€Ρ–Π²
    • ΠšΠΎΠΌΡ„ΠΎΡ€Ρ‚Π½Ρ– ΡƒΠΌΠΎΠ²ΠΈ ΠΏΡ€Π°Ρ†Ρ– (офіс Π½Π° ΠΏΡ€Π°Π²ΠΎΠΌΡƒ Π±Π΅Ρ€Π΅Π·Ρ– ΠšΠΈΡ”Π²Π° β€” Ρ€Π°ΠΉΠΎΠ½ станції ΠΌΠ΅Ρ‚Ρ€ΠΎ ΠšΠΎΠ½Ρ‚Ρ€Π°ΠΊΡ‚ΠΎΠ²Π° ΠΏΠ»ΠΎΡ‰Π°)

       

    Π§Π΅ΠΊΠ°Ρ”ΠΌΠΎ Π½Π° Ρ‚Π²ΠΎΡ” Ρ€Π΅Π·ΡŽΠΌΠ΅!

     

    Ми Ρ€ΠΎΠ·Π³Π»ΡΠ΄Π°Ρ”ΠΌΠΎ Π²Ρ–Π΄Π³ΡƒΠΊΠΈ протягом 5 Ρ€ΠΎΠ±ΠΎΡ‡ΠΈΡ… Π΄Π½Ρ–Π². Π―ΠΊΡ‰ΠΎ Π½Π΅ ΠΎΡ‚Ρ€ΠΈΠΌΠ°Ρ”Ρˆ Π²Ρ–Π΄ΠΏΠΎΠ²Ρ–Π΄Ρ– Π²ΠΏΡ€ΠΎΠ΄ΠΎΠ²ΠΆ Ρ†ΡŒΠΎΠ³ΠΎ часу, Ρ†Π΅ ΠΎΠ·Π½Π°Ρ‡Π°Ρ”, Ρ‰ΠΎ Π½Π°Ρ€Π°Π·Ρ– ΠΌΠΈ Π½Π΅ ΠΌΠΎΠΆΠ΅ΠΌΠΎ Π·Π°ΠΏΡ€ΠΎΠΏΠΎΠ½ΡƒΠ²Π°Ρ‚ΠΈ ΠΏΠΎΠ·ΠΈΡ†Ρ–ΡŽ, Π°Π»Π΅ ΠΌΠΈ Π·Π±Π΅Ρ€Π΅Π³Π»ΠΈ Ρ€Π΅Π·ΡŽΠΌΠ΅ Ρƒ Π½Π°ΡˆΡ–ΠΉ Π±Π°Π·Ρ–.

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