Jobs

57
  • Β· 33 views Β· 1 application Β· 16d

    Machine Learning Tech Lead

    Full Remote Β· EU Β· 5 years of experience Β· Upper-Intermediate
    We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a...

    We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.
     

    Responsibilities:

    • Leadership & Management
      -Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment;
      -Drive the roadmap for machine learning projects aligned with business goals;
      -Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery.
    • Machine Learning & LLM Expertise
      -Design, develop, and fine-tune LLMs and other machine learning models to solve business problems;
      -Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction;
      -Stay ahead of advancements in LLMs and apply emerging technologies;
      -Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML.
    • AWS Cloud Expertise
      -Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.);
      -Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS;
      -Ensure best practices in security, monitoring, and compliance within the cloud infrastructure.
    • Technical Execution
      -Oversee the entire ML lifecycle, from research and experimentation to production and maintenance;
      -Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows;
      -Debug, troubleshoot, and optimize production ML models for performance.
    • Team Development & Communication
      -Conduct regular code reviews and ensure engineering standards are upheld;
      -Facilitate professional growth and learning for the team through continuous feedback and guidance;
      -Communicate progress, challenges, and solutions to stakeholders and senior leadership.

      Qualifications:
    • Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);
    • Strong expertise in AWS Cloud Services;
    • Strong experience in ML/AI, including at least 2 years in a leadership role;
    • Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
    • Familiarity with MLOps tools and best practices;
    • Excellent problem-solving and decision-making abilities;
    • Strong communication skills and the ability to lead cross-functional teams;
    • Passion for mentoring and developing engineers.
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  • Β· 42 views Β· 3 applications Β· 23d

    Middle Data Scientist

    Full Remote Β· Countries of Europe or Ukraine Β· Product Β· 2 years of experience Β· Intermediate
    In Competera, we are building a place where optimal pricing decisions can be made easily. We believe that AI technologies will soon drive all challenging decisions and are capable of helping humans be better. We are now looking for a Middle Data Scientist...

    In Competera, we are building a place where optimal pricing decisions can be made easily. We believe that AI technologies will soon drive all challenging decisions and are capable of helping humans be better. We are now looking for a Middle Data Scientist to change the way we deliver our solution to customers.
     

    You could be a perfect match for the position if

     

    You want to:

    • Validate datasets to ensure data accuracy and consistency.
    • Design proof-of-concept (POC) solutions to explore new approaches.
    • Develop technical solutions by mapping requirements to existing tools and functionalities.
    • Train models and create custom approaches for new domains.
    • Troubleshoot data processing and model performance issues.

     

    You have:

    • 2+ years of experience in data science or a related field.
    • Strong SQL skills for data manipulation and extraction.
    • Proficiency in Python, with the ability to write modular and readable code for experiments and prototypes.
    • A solid mathematical background, preferably in a Computer Science-related field.
    • Expertise in scientific Python libraries, including NumPy, pandas, scikit-learn, and either Keras/TensorFlow or PyTorch.
    • Familiarity with Time Series Forecasting methodologies.
    • Experience in statistical testing, including A/B testing.
    • 1+ years working with tabular and multimodal data (e.g., combining tabular data with text, audio, or images).
    • Upper-intermediate or higher English level.

     

    Soft skills:

    • Analytical mindset and critical thinking to solve complex problems.
    • Agile approach, with the ability to experiment and test hypotheses in a dynamic business environment.
    • Business-oriented thinking, capable of translating complex models into clear business insights.
    • Curiosity and a drive for continuous learning in the data domain.
    • Strong team player, able to collaborate across cross-functional teams.

     

    You’re gonna love it, and here’s why:

    • Rich innovative software stack, freedom to choose the best suitable technologies.
    • Remote-first ideology: freedom to operate from the home office or any suitable coworking.
    • Flexible working hours (we start from 8 to 11 am) and no time tracking systems on.
    • Regular performance and compensation reviews.
    • Recurrent 1-1s and measurable OKRs.
    • In-depth onboarding with a clear success track.
    • Competera covers 70% of your training/course fee.
    • 20 vacation days, 15 days off, and up to one week of paid Christmas holidays.
    • 20 business days of sick leave.
    • Partial medical insurance coverage.
    • We reimburse the cost of coworking.

     

    Drive innovations with us. Be a Competerian.

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  • Β· 25 views Β· 3 applications Β· 13d

    Senior Machine Learning Engineer

    Ukraine Β· 5 years of experience Β· Upper-Intermediate
    We are looking for a passionate Senior Machine Learning Engineer eager to drive innovation and excellence in our machine learning processes. We strongly prefer those well-versed in the financial sector. Join us to be part of a forward-thinking team that...

    We are looking for a passionate Senior Machine Learning Engineer eager to drive innovation and excellence in our machine learning processes. We strongly prefer those well-versed in the financial sector.

     

    Join us to be part of a forward-thinking team that values innovation, growth, and collaboration.

    Responsibilities:

    • Cross-Functional Collaboration: Work closely with cross-functional teams to implement and support cutting-edge ML models
    • Data-Driven Research: Conduct research and experiments with diverse datasets to optimize ML model performance
    • Workflow Management: Handle complex data workflows with ease and efficiency
    • Expert Knowledge Development: Deepen your expertise in your chosen field, staying ahead of industry trends
    • Process Improvement: Enhance end-to-end development processes and pipelines, including data collection tools and production deployment, with a focus on CI/CD
    • Continuous Learning: Stay at the forefront of technological advancements and trends in data science and AI
    • Mentorship: Support and mentor junior team members, fostering a culture of knowledge sharing and growth
       

    Requirements:

    • Experience: 5+ years in machine learning and MLOps, with a track record of delivering impactful AI/ML solutions
    • Research & Experimentation: Proven ability to conduct research and experiments to enhance AI/ML model performance
    • Project Lifecycle Management: Skilled in handling all project stages, from business analysis to product implementation
    • Python Proficiency: Expert in Python for crafting robust and high-quality code; experience with version control systems (preferably Git)
    • Database Expertise: Proficient in working with databases and SQL (e.g., MS SQL, Snowflake)
    • AWS Mastery: Hands-on experience with AWS cloud platform (e.g., SageMaker, Step Functions, Glue, Lambda, SQS, ECS, S3, ECR, CloudWatch, IAM, MWAA)
    • Container & Orchestration Tools: Deep understanding of containers and orchestration tools (e.g., Docker, CI/CD)
    • Remote Work Savvy: Comfortable working remotely and effectively communicating with cross-functional teams
    • Financial Acumen: Strong foundational understanding of financial markets
    • Language Proficiency: English proficiency at B2 level or higher is mandatory
    More
  • Β· 52 views Β· 15 applications Β· 23d

    Senior Data Scientist

    Full Remote Β· Worldwide Β· 5 years of experience Β· Upper-Intermediate
    Company overview: Graphio.ai auto-generates playbooks from real team behavior, tracks execution drift, guides teams back on track, giving COOs and operating teams visibility to act before revenue slips. Graphio.ai is built for COOs and operational leaders...

    Company overview:
    Graphio.ai auto-generates playbooks from real team behavior, tracks execution drift, guides teams back on track, giving COOs and operating teams visibility to act before revenue slips.

    Graphio.ai is built for COOs and operational leaders who need visibility into where plans break and why. We analyze metadata from tools like Slack, Teams, Jira, Asana, Salesforce, HubSpot, Zendesk, and Google Workspace. We do not access or analyze content, only behavioral signals.

    Using this data, Graphio.ai automatically generates live playbooks across critical operational areas, including sales execution, onboarding, handoffs, account transitions, customer delivery, implementation, support processes, and cross-functional escalations. Leaders can easily customize these playbooks to align with their goals. Graphio.ai continuously monitors how real execution compares to the plan. When teams drift or break from process, we surface risks early and send guidance to employees directly in Slack or Teams to help them get back on track.

    Supported by dozens of senior leaders from Experian, Mastercard, Lattice, BambooHR, Altrata, Brex, SAP, JackHenry, FIS, Pfizer, Workday, and various SaaS, HR, payroll, ERP, and private equity-owned platforms, we are building the system that brings clarity and control to execution.


    Position overview:
    We are seeking a Senior Data Scientist to join our fully remote team and play a foundational role in building our data science capabilities. This position is ideal for a self-starter who thrives in startup environments. As one of the first hires in this area, you will organize processes, define objectives, and independently determine what needs to be done to advance our mission of delivering unbiased, data-driven employee assessments.


    Key responsibilities:

    • Build and lead the data science team from scratch, establishing processes, best practices, and a strong foundation for scalability.
    • Independently identify priorities and define the roadmap for data science initiatives, with minimal direction.
    • Analyze Business Data: Work with structured and unstructured HR-related datasets to extract actionable insights that impact workforce management decisions.
    • Develop Predictive Models: Build models for employee turnover probability, churn rate, productivity trends, and other workforce-related KPIs.
    • Share customer insights, develop key metrics, and explain testing results to both technical and non-technical stakeholders.
    • Identify complex issues, simplify them, and collaborate with other teams to create scalable solutions for broader company challenges.
    • Promote data-driven decision-making across the organization.
    • Develop reusable frameworks for simulations, analysis methods, and reporting.
    • Collaborate with the engineering team to enhance data collection for improved accuracy and quality.


    Remote work requirements:

    • Strong communication skills in English, both written and verbal.
    • Proven ability to work effectively in a fully remote, distributed team environment.
    • Self-motivated with excellent time management and organizational skills.


    Qualifications:

    • 5+ years of professional experience in a Data Science position.
    • Proficiency in Python and experience with ML frameworks (Scikit-learn, Pandas, Matplotlib,TensorFlow, NLTK,  XGBoost, ect).
    • Expirient in using Python for data analysis as well as development of production ready scalable solutions.
    • Strong SQL and noSQL (MongoDB) expertise – must be able to write complex queries, optimize performance, and work with large datasets.
    • Strong skills in data modeling, statistical analysis, and algorithm development.


    Preferred qualifications:

    • Experience in HRTech or workforce analytics.
    • Expertise in developing AI models with biased, noizy data.

     

    What we offer:

    • Competitive salary and comprehensive benefits package.
    • Work from anywhere with flexible hours and a supportive remote culture.
    • Opportunities for professional development and career growth.
    • The chance to be part of a groundbreaking team shaping the future of productivity AI.


    Company cultural requirements:
    At Graphio.ai, we embrace a high-performance, mission-driven culture with clear expectations:

    • A professional corporate background on LinkedIn is required.
    • The entire team takes synchronized vacations four times a year, ensuring better alignment and collaboration.
    • Vacation time is only available after the company achieves stability.
    • Team members can reside in Ukraine, but must be ready to relocate with their families to Europe or the USA upon the company’s request and legal ability to do so.
    • A non-standard work schedule is part of the commitment, reflecting the demands of startup life.
    • We are building something exceptional, which means full dedication and a willingness to tackle challenges that others find too complex.
    • We are not for everyone - we need those who will consider our company as the step for their personal success. Preferably those who want to build their own companies one day and will learn with us how to do that better and faster

     

    A final note:
    If you’re ambitious, hungry for success, and just a little crazy, you might be who we need. But if you’re content with a quiet, predictable 9-to-5 life, feel free to move along.

    Join us at Graphio.ai and take ownership of building and leading our data science function. If you’re ready to create something transformative, we’d love to hear from you!

     

    upSWOT acquisition press release

    https://lnkd.in/dR-n3TYg

     

    Deck
    lnkd.in/eCXdBqvm

    Demo video
    lnkd.in/eEeGvRKi

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  • Β· 20 views Β· 1 application Β· 9d

    Machine Learning Tech Lead

    Full Remote Β· Armenia, Colombia, Costa Rica Β· 5 years of experience Β· Upper-Intermediate
    We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a...

    We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.
     

    Responsibilities:

    • Leadership & Management
      -Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment;
      -Drive the roadmap for machine learning projects aligned with business goals;
      -Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery.
    • Machine Learning & LLM Expertise
      -Design, develop, and fine-tune LLMs and other machine learning models to solve business problems;
      -Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction;
      -Stay ahead of advancements in LLMs and apply emerging technologies;
      -Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML.
    • AWS Cloud Expertise
      -Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.);
      -Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS;
      -Ensure best practices in security, monitoring, and compliance within the cloud infrastructure.
    • Technical Execution
      -Oversee the entire ML lifecycle, from research and experimentation to production and maintenance;
      -Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows;
      -Debug, troubleshoot, and optimize production ML models for performance.
    • Team Development & Communication
      -Conduct regular code reviews and ensure engineering standards are upheld;
      -Facilitate professional growth and learning for the team through continuous feedback and guidance;
      -Communicate progress, challenges, and solutions to stakeholders and senior leadership.

      Qualifications:
    • Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);
    • Strong expertise in AWS Cloud Services;
    • Strong experience in ML/AI, including at least 2 years in a leadership role;
    • Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
    • Familiarity with MLOps tools and best practices;
    • Excellent problem-solving and decision-making abilities;
    • Strong communication skills and the ability to lead cross-functional teams;
    • Passion for mentoring and developing engineers.
    More
  • Β· 90 views Β· 8 applications Β· 23d

    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· 17 views Β· 1 application Β· 6d

    Senior Computer Vision Engineer

    Full Remote Β· Countries of Europe or Ukraine Β· 5 years of experience Β· Pre-Intermediate
    About the Role: As a Computer Vision Engineer, you will play a key role in our AI team, designing and building solutions that make legal collaboration seamless and accessible. You will work on a cutting-edge product that leverages computer vision and...

    About the Role:

     

    As a Computer Vision Engineer, you will play a key role in our AI team, designing and building solutions that make legal collaboration seamless and accessible. You will work on a cutting-edge product that leverages computer vision and other advanced AI techniques to support the automotive industry. Our platform, SelfInspection, enables automated vehicle inspections. Users capture photos of a vehicle's exterior, interior, and tires, which are then analyzed by our AI and experts to generate detailed condition reports. The first version of the product is live, and we are actively developing its second iteration.

     

    Responsibilities:

    • Train, evaluate, and deploy computer vision models for tasks such as instance segmentation, object detection, classification, and tracking
    • Improve and optimize existing computer vision models
    • Prepare high-quality training datasets using annotated data provided by the annotation team
    • Stay current with advancements in the computer vision field to ensure the use of efficient and modern approaches
    • Collaborate with C-level stakeholders to define technical requirements and specifications for new features

    Qualifications:

    • Minimum of 5 years of hands-on experience in machine learning, computer vision, or a closely related field
    • Proven experience in training, evaluating, and optimizing deep learning models for production environments
    • Strong background in data collection, preprocessing, augmentation, and annotation workflows
    • Bachelor's, Master’s, or Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, or a related discipline (preferred but not required)

    Skills:

    • Hands-on experience with deep learning frameworks, particularly PyTorch and/or TensorFlow
    • Deep understanding of convolutional neural networks (CNNs), transformers, and core computer vision tasks such as image classification, object detection, segmentation, and tracking
    • Proficiency with scientific and image processing libraries such as NumPy, OpenCV, and scikit-learn
    • Familiarity with model deployment techniques (e.g., ONNX, TensorRT, TorchScript, TensorFlow Lite) and performance optimization strategies
    • Strong problem-solving skills and the ability to decompose complex vision tasks into modular components
    • Excellent communication and collaboration skills across both technical and non-technical teams

    Will be a Plus:

    • Interest in prototyping and experimenting with new computer vision techniques
    • Experience designing AI products from the ground up, with a solid understanding of AI system architecture
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  • Β· 32 views Β· 0 applications Β· 8d

    Senior Data Scientist

    Worldwide Β· Product Β· 4 years of experience Β· Intermediate
    PIN-UP Global is an international holding specializing in the development and implementation of advanced technologies, B2B solutions and innovative products for the iGaming industry. Our holding is represented in seven countries (Cyprus, Ukraine, Poland,...

    PIN-UP Global is an international holding specializing in the development and implementation of advanced technologies, B2B solutions and innovative products for the iGaming industry.

    Our holding is represented in seven countries (Cyprus, Ukraine, Poland, Kazakhstan, Armenia, Peru, Malta). The headquarters of the holding is located in Cyprus.

     

    We are looking for a Senior Data Scientist to join our team!

     

    Requirements:

    - Proven experience in analysis of large amount of data;

    - Experience in solving customer behavior prediction tasks;

    - Knowledge of ML algorithms for regression, classification, clustering, ability to apply them to business problems;

    - Solid experience in SQL;

    - Extensive experience with Python for data processing, modeling, and visualization;

    - Deep understanding of statistics, probability theory;

    - Passion to drive projects from R&D to business value.

     

    Will be plus:

    - Familiarity with AWS infrastructure and toolchain (SageMaker, CloudFormation, CloudWatch, etc.);

    - Familiarity with BI tools (Metabase, Tableau);

    - Experience with tools for managing ML workflows;

    - Knowledge and experience with algorithms and data structures;

    - Knowledge of OOP;

    - Understanding of containerization technologies (Docker);

    - Participation in Kaggle competitions.

     

    Responsibilities:

    - Developing and testing machine learning models for customer behavior prediction, deploying to production;

    - Working with tabular data collecting, cleaning, and exploring datasets, building ML pipelines;

    - Applying statistical methods to analyze and interpret data, finding patterns, insights to improve quality of models;

    - Maintaining existing models;

    - Communicating and presenting results.

     

    Benefits:

    πŸ€ An exciting and challenging job in a fast-growing product holding, the opportunity to be part of a multicultural team of top professionals in Development, Engineering and Architecture, Management, Operations, Marketing, etc;

    🀝 Great working atmosphere with passionate IT experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed;

    πŸ“Beautiful offices in Limassol, Warsaw, Almaty, Yerevan β€” work with comfort and enjoy the opportunity to build a network of connections with IT professionals day by day;

    πŸ§‘β€πŸ’» Laptop & all necessary equipment for work according to the ecosystem standards;

    πŸ– Paid vacations, personal events days, days off;

    πŸ«– Paid sick leave;

    πŸ‘¨β€βš• Medical insurance;

    πŸ’΅ Referral program β€” enjoy cooperation with your colleagues and get a bonus;

    πŸ“š Educational support by our L&D team: internal and external trainings and conferences, courses on Udemy;

    πŸ¦„ Multiple internal activities: online platform with newsletters, quests, gamification, and presents for collecting bonuses, PIN-UP talks club for movie and book lovers, board games cozy evenings, special office days dedicated to holidays, etc;

    🎳 Company events, team buildings.

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  • Β· 131 views Β· 7 applications Β· 10d

    Product/ Data Analyst

    Full Remote Β· Ukraine Β· 2 years of experience Β· Upper-Intermediate
    The Product Data Science team at Noom (www.noom.com) is seeking a mid-level Data Scientist Contractor. The primary responsibility is to conduct product analysis and help design & evaluate A/B tests. Noom is more than just a health-tech company β€” it's a...

    The Product Data Science team at Noom (www.noom.com) is seeking a mid-level Data Scientist Contractor. The primary responsibility is to conduct product analysis and help design & evaluate A/B tests.

    Noom is more than just a health-tech company β€” it's a mission-driven organization that has helped over 50 million users worldwide build healthier habits through science-backed behavioral psychology. Backed by $650M+ in funding and recognized by Forbes as one of America's Best Startup Employers, Noom is scaling rapidly. If you're looking to work on a product that genuinely changes lives β€” this is the place.
     

    The Product Data Science team currently consists of 4 other Data Scientists, who work together to tackle a variety of projects each week. We sit alongside the Business Data Science team (also 4 people) and the BI Engineering team.
     

    β€œProduct” at Noom covers all their in-app programs and features (including Noom Med!), as well as our Growth efforts (i.e. how we position and price our different product offerings!). 
     

    Key Responsibilities:

    • Product Analysis:

      - Answer insightful analysis questions from stakeholders across the Product org

      - Be able to ramp up on how different parts of the product & our data model function, to pull accurate results

      - Partner with PMs and Engineers to design key metrics for different initiatives

    • Experiment Analysis:

      - Be the β€œstats expert” alongside PMs to ensure we design effective experiments

      - Understand and be able to intuitively explain concepts like power & sample size

      - Analyze experiment results to determine what is statistically significant, being able to take into account common pitfalls and β€œp-hacking” that can happen with A/B testing

    • Specific Deliverables (First 3-6 months):

      - Ramp up on a particular product area and start answering ad hoc insight questions from there

      - Design an experiment (with another Product DS there to mentor), see it launch, and then analyze it

      - Give feedback on new team processes and come up with an idea to iterate/make a new one
       

    Requirements:

    • Strong proficiency in SQL and a solid understanding of data modeling concepts
    • Proficiency with Python, ideally data analysis/science packages like Pandas and Stats
    • Good β€œData storytelling” and stakeholder communication: can explain technical concepts in an intuitive way
    • Detail-oriented: can sense-check your output and correct errors before sharing results with stakeholders
    • A good product-sense and familiarity with fundamental β€œproduct” metrics (like DAU, retention, etc)

       

    What We Offer:

    • Strong goal-oriented team, and a research mindset
    • Opportunity to leverage your engineering skills for fellow engineers and shape the future of AI
    • Working with the newest technical equipment
    • 20 working days of annual vacation leave
    • English courses, Educational Events & Conferences
    • Medical insurance

       

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  • Β· 54 views Β· 3 applications Β· 28d

    Senior Data Scientist (Python) to $8000

    Full Remote Β· Bulgaria, Poland, Portugal, Ukraine Β· 5 years of experience Β· Upper-Intermediate
    Our client is a leading SaaS company offering pricing optimization solutions for e-commerce businesses. Its advanced technology utilizes big data, machine learning, and AI to assist customers in optimizing their pricing strategies and maximizing their...

    Our client is a leading SaaS company offering pricing optimization solutions for e-commerce businesses. Its advanced technology utilizes big data, machine learning, and AI to assist customers in optimizing their pricing strategies and maximizing their profits.

    About the Role:
    As a Data Scientist you’ll play a critical role in shaping and enhancing our AI-driven pricing platform.

    Key Responsibilities:

    • Develop and Optimize Advanced ML Models: Build, improve, and deploy machine learning and statistical models for forecasting demand, analyzing price elasticities, and recommending optimal pricing strategies.
    • Lead End-to-End Data Science Projects: Own your projects fully, from conceptualization and experimentation through production deployment, monitoring, and iterative improvement.
    • Innovate with Generative and Predictive AI Solutions: Leverage state-of-the-art generative and predictive modeling techniques to automate complex pricing scenarios and adapt to rapidly changing market dynamics.

    Required Competence and Skills:

    • A Master’s or PhD in Computer Science, Physics, Applied Mathematics or a related field, demonstrating a strong foundation in analytical thinking.
    • At least 5 years of professional experience in end-to-end machine learning lifecycle (design, development, deployment, and monitoring).
    • At least 5 years of professional experience with Python development, including OOP, writing production-grade code, testing, and optimization.
    • At least 5 years of experience with data mining, statistical analysis, and effective data visualization techniques.
    • Deep familiarity with modern ML/DL methods and frameworks (e.g., PyTorch, XGBoost, scikit-learn, statsmodels).
    • Strong analytical skills combined with practical experience interpreting model outputs to drive business decisions.

    Nice-to-Haves:

    • Practical knowledge of SQL and experience with large-scale data systems like Hadoop or Spark.
    • Familiarity with MLOps tools and practices (CI/CD, model monitoring, data version control).
    • Experience in reinforcement learning and Monte-Carlo methods.
    • A solid grasp of microeconomic principles, including supply and demand dynamics, price elasticity, as well as econometrics.
    • Experience with cloud services and platforms, preferably AWS.

    Why Us?

    We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

    We provide full accounting and legal support in all countries we operate.

    We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

    We offer a highly competitive package with yearly performance and compensation reviews.

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  • Β· 48 views Β· 8 applications Β· 15d

    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· 25 views Β· 4 applications Β· 24d

    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· 36 views Β· 1 application Β· 14d

    AI/ML Consultant

    Ukraine Β· 5 years of experience Β· Upper-Intermediate
    RESPONSIBILITIES Discover, envision and land Data Science, AI and Machine Learning opportunities alongside EPAM teams & clients Lead cross-functional EPAM and/or EPAM clients` teams through the journey of understanding business challenges and defining...

    RESPONSIBILITIES  

    • Discover, envision and land Data Science, AI and Machine Learning opportunities alongside EPAM teams & clients  
    • Lead cross-functional EPAM and/or EPAM clients` teams through the journey of understanding business challenges and defining solutions leveraging AI, Data Science, Machine Learning and MLOpsβ€― 
    • Work with clients to deliver AI Products which provide value to end-usersβ€― 
    • Participate and drive EPAM competencies development, work on new EPAM offerings in AI, Data Science, ML and MLE space, as well as work on refining existing offeringsβ€― 
    • Bring your creative engineering mind to deliver real-life practical applications of Machine Learningβ€― 
    • Work closely with DevOps practice on infrastructure and release planningβ€―


      QUALIFICATIONS  
    • Consulting:  Experience in exploring the business problem and converging it to applied AI technical solutions; expertise in pre-sales, solution definition activitiesβ€―β€― 
    • Data Science:  3+ years of hands-on experience with core Data Science, as well as knowledge of one of the advanced Data Science and AI domains (Computer Vision, NLP, Advanced Analytics etc.)β€―β€― 
    • Engineering:  Experience delivering applied AI from concept to production, familiarity, and experience with MLOps, Data, design of Data Analytics platforms, data engineering, and technical leadership.   
    • Leadership:  Track record of delivering complex AI-empowered and/or AI-empowering programs to the clients in a leadership position. Experience managing and growing the team to scale up Data Science, AI &ML capability is a big plus  
    • Excellent communication skills (active listening, writing and presentation), drive for problem solving and creative solutions, high EQ  

      NICE TO HAVE  
    • One or more business domains expertise (e.g. CPG, Retail, Financial Services, Insurance, Healthcare/ Life Science)β€― 

      TECHNOLOGIES  
    • Python, Databricks, Azure ML, Big Data (Hadoop, Spark, Hive, etc.), AWS, Docker, Kubernetes, DB (Pl SQL, HQL, Mongo), Google (Vertex AI) or similarβ€― 

       

     

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  • Β· 12 views Β· 1 application Β· 14d

    Technical Lead/Senior Data Engineer

    Full Remote Β· Ukraine Β· 5 years of experience Β· Upper-Intermediate
    Project Description: As a Data & Application Engineer for FP&A, you are responsible for the engineering team and the technology that the team owns. You will not only work as a coach for your team but also as a technical leader, ensuring that the right...

    Project Description:

    As a Data & Application Engineer for FP&A, you are responsible for the engineering team and the technology that the team owns. You will not only work as a coach for your team but also as a technical leader, ensuring that the right technical decisions are made when building our data and reporting product(s).
    As a data and analytics team, we are responsible for building a cloud-based Data Platform for BHI Global Services and its stakeholders across brands. We aim to provide our end users from different Finance departments, e.g.., Risk, FPA, Tax, Order to Cash, the best possible platform for all of their Analytics, Reporting & Data needs.
    Collaborating closely with a talented team of engineers and product managers, you'll lead the delivery of features that meet the evolving needs of our business on time. You will be responsible to conceptualize, design, build and maintain data services through data platforms for the assigned business units. Together, we'll tackle complex engineering challenges to ensure seamless operations at scale and in (near) real-time.
    If you're passionate about owning the end-to-end solution delivery, thinking for future and driving innovation and thrive in a fast-paced environment, join us in shaping the future of the Data and Analytics team!
     

    Responsibilities:

    Strategy and Project Delivery
    ● Together with the business Subject Matter Experts and Product Manager, conceptualize, define, shape and deliver the roadmap to achieving the company priority and objectives
    ● Lead business requirement gathering sessions to translate into actionable delivery solutions backlog for the team to build
    ● Lead technical decisions in the process to achieve excellence and contribute to organizational goals.
    ● Lead the D&A teams in planning and scheduling the delivery process, including defining project scope, milestones, risk mitigation and timelines management including allocating tasks to team members and ensuring that the project stays on track.
    ● Have the full responsibility in ensuring successful delivery by the D&A teams to deliver new products on time, set up processes and operational plans from end to end, e.g., collecting user requirement, design, build & test solution and Ops Maintenance
    ● Technical leader with a strategic thinking for the team and the organization. Visionary who can deliver strategic projects and products for the organization.
    ● Own the data engineering processes, architecture across the teams
    Technology, Craft & Delivery
    ● Experience in designing and architecting data engineering frameworks, dealing with high volume of data
    ● Experience in large scale data processing and workflow management
    ● Mastery in technology leadership
    ● Engineering delivery, quality and practices within own team
    ● Participating in defining, shaping and delivering the wider engineering strategic objectives
    ● Ability to get into the technical detail (where required) to provide technical coach, support and mentor the team
    ● Drive a culture of ownership and technical excellence, including reactive work such as incident escalations
    ● Learn new technologies and keep abreast of existing technologies to be able to share learnings and apply these to a variety of projects when needed
     

    Mandatory Skills Description:

    Role Qualifications and Requirements:
    ● Bachelor degree
    ● At least 5 years of experience leading and managing one or multiple teams of engineers in a fast-paced and complex environment to deliver complex projects or products on time and with demonstrable positive results.
    ● 7+ years' experience with data at scale, using Kafka, Spark, Hadoop/YARN, MySQL (CDC), Airflow, Snowflake, S3 and Kubernetes
    ● Solid working experience working with Data engineering platforms involving languages like PySpark, Python or other equivalent scripting languages
    ● Experience working with public cloud providers such as Snowflake, AWS
    ● Experience to work in a complex stakeholders' organizations
    ● A deep understanding of software or big data solution development in a team, and a track record of leading an engineering team in developing and shipping data products and solutions.
    ● Strong technical skills (Coding & System design) with ability to get hands-on with your team when needed
    ● Excellent communicator with strong stakeholder management experience, good commercial awareness and technical vision
    ● You have driven successful technical, business and people related initiatives that improved productivity, performance and quality
    ● You are a humble and thoughtful technology leader, you lead by example and gain your teammates' respect through actions, not the title
    ● Exceptional and demonstrable leadership capabilities in creating unified and motivated engineering teams

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  • Β· 36 views Β· 0 applications Β· 10d

    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
    More
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