Jobs

Position Overview

DataObrii, a dynamic Data Science company based in the UK, is seeking an experienced Project Manager/Team Lead (Data Science) to join our team full-time remotely. We are looking for candidates with strong technical expertise in data science (!) who are adept at project-centric approaches and fostering growth opportunities for both projects and technical aspects. In this position you will be pivotal in overseeing and managing Data Science projects, ensuring their successful delivery within scope, timeline, and budget. 

Key Responsibilities:

• Prioritize and plan task execution, ensuring alignment with project objectives and timelines.
• Help to solve technical issues and unblock project members, helping to solve and guide the team through various complex day-to-day challenges in data science
• Coordinate project team members, distribute workload effectively, and assign tasks based on expertise and capacity.
• Verify completed tasks to ensure compliance with project requirements and quality standards.
• Utilize management tools to track project progress against established timelines, making adjustments as needed to maintain schedule adherence.
• Identify and address issues or obstacles during project execution.
• Monitor work performance, identify areas for improvement, and implement optimizations using Monday dashboards.
• Communicate project progress, updates, and risks to senior management through regular and concise reporting.
• Maintain accurate and up-to-date project documentation to facilitate transparency and knowledge sharing among team members.

• Foster a healthy work environment, promoting teamwork and collaboration among team members.

   

  Required Skills and Qualifications:

1. At least 2 years of proven full-time experience working as a Data Scientist/Team Lead in Data Science.
2. Proficiency in conducting and managing Data Science projects.
3. Strong technical expertise:

• Proficiency in building custom neural networks using PyTorch or TensorFlow.
• Experience with tree-based models.
• Strong expertise with various neural network architectures (recurrent, convolutional, feedforward, etc.).
• In-depth knowledge of Python programming and relevant libraries (e.g., Scikit-learn, Pandas, PyTorch, Shap).
• Solid understanding of statistics and data analysis.
• Experience with time series data, including loading, cleaning, and feature engineering using libraries like pandas, numpy, and Darts.
• Proficiency with neural network layers (e.g. LSTM, GRU, Conv1D, Dense, Dropout, BatchNormalization, residual layers) and activation functions (ReLU, Sigmoid, Tanh, Softmax, etc.).
• Skilled in using and tuning loss functions such as MSE, MAPE and custom loss functions relevant to time series forecasting.
• Experience with hyperparameter optimization using libraries like Optuna or Hyperopt.
• Strong skills in understanding and evaluating model performance using metrics like MSE, RMSE, MAE, MAPE, and R-squared.
• Familiarity with backtesting functionalities for validating model performance.
• Experience in model deployment, including serialisation and productionising models for real-time data streams.
• Proficiency in using Git for version control and collaboration.

4. Practical experience with different team management methods and frameworks.

5. Solid knowledge of the software development life cycle processes and procedures.

6. Knowledge of project documentation principles.

General:

• Bachelor's degree or higher in Computer Science, Information Technology or a related field.
• Strong problem-solving skills, with the ability to anticipate risks and difficulties in advance.
• High level of self-organization and time management.
• Attentiveness and attention to detail.
• Excellent communication and reporting skills, with the ability to convey complex information concisely and effectively.
• Ability to build long-term relationships with team members.
• Good command of spoken and written English.

What We Offer:

• At DataObrii, we offer competitive wages that reflect your expertise and commitment, ensuring that your efforts are valued and appreciated.
• We provide the flexibility to work from anywhere. Work from the comfort of your home while staying connected with a collaborative and supportive team.
• You will lead and manage projects that challenge your skills and expand your knowledge. 

About DataObrii

DataObrii is a young company, which is dealing with the development of computational systems for machine learning and big data analysis.

Our focus is on real-world problems and real-world solutions. The keys to our success are our focus on continuous improvement of our employees and our company, our dedication to keeping up with current and emerging technologies, and our commitment to delivering complete solutions.

Company website:

dataobrii.com

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.

About Us:

Atto Trading is a quantitative trading firm operating a portfolio of signal-driven high-frequency strategies in cash equities and futures.

We are building a global, diverse team, with experts in trading, statistics, engineering, and technology to trade global markets. Our disciplined approach combined with rapid market feedback allows us to quickly turn ideas into profit. Our environment of learning & collaboration allows us to solve the world’s hardest problems, together.

As a small firm, we remain nimble and hold ourselves to the highest standards of integrity, ingenuity, and effort.

About the Role:

We're looking for a Junior Data Scientist/Quant Researcher to join our profitable trading team and drive growth.

This position is currently open as remote work from Ukraine, with in-office presence in Kyiv required once circumstances allow.

At ATTO Trading, you'll build models, strategies, and systems for trading various financial instruments globally. This role blends trading and software development, involving data analysis, predictive modeling, and strategy development. You'll tackle some of the industry's toughest challenges and work with cutting-edge technology.
 

Responsibilities:

• Design and test new data pipelines (ETL/ELT)
• Develop data visualization tools
• Maintain existing analytical instruments (toolkits, pipelines)
• Participate in research projects

Requirements:

• High level of proficiency in Python programming (data structures, design patterns, OOP, PEP etc)
• Experience with analytical packages for data visualization, manipulation and processing: NumPy, Polars, Matplotlib, Bokeh, Scikit-Learn
• Basic knowledge of relational databases and SQL
• Upper-Intermediate+  in English
• Experience working in Linux environment 
• Bachelor’s degree in statistics, math, computer science, or another quantitative discipline
• Good communication and team skills
• Close attention to details

Nice to have:

• Experience with С++
• Understanding of basic machine learning techniques
• Genuine interest in finance and trading
• Experience in development of quantitative trading strategies

Benefits:

• Opportunity to develop professional competencies
• Interesting and challenging tasks
• Competitive rates of pay
• Paid time off
• Coverage of health insurance cost

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.

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.

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

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

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.

We are Onicore — 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 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? 

🏥 Health first: Comprehensive medical insurance.

🤓 Keep growing: We cover courses, conferences, training sessions, and workshops.

💪 Stay active mentally and physically : Sports / hobby / personal psychologist to fuel yourself.

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

🧗‍♂️ Inspiring vibes: Join a motivated, goal-oriented team that supports each other.

🧑‍💻 Make a difference: Have a direct impact on shaping and growing the product.

💻 Work smarter: Corporate laptops to help you do your best work.

Join our team and help us level up!

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

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: 

• Analyze data from fitness studios: sales, visits, contracts, and customer data. 

• Build end-to-end ML pipelines (data preprocessing → model training → testing → deployment → monitoring). 

• Develop forecasting models (regression, classification, time series). 

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

• Set up model performance monitoring and reporting. 

• Prepare reports and visualize results for business stakeholders. 

• Collaborate with team members and stakeholders to align tasks and communicate results. 

Requirements: 

• 3+ years of experience as a Data Scientist / ML Engineer. 

• Strong Python skills (pandas, numpy, scikit-learn, PyTorch or equivalent). 

• Experience with ETL pipelines and working with large datasets. 

• Hands-on experience with time series, regression, and classification models. 

• Proven experience with AWS: SageMaker, S3, Glue, Lambda, CloudWatch. 

• Proficiency in SQL. 

• Ability to clearly explain technical solutions to business stakeholders. 

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

• Experience building BI dashboards (e.g., AWS QuickSight, Power BI, Tableau). 

• MLOps and CI/CD experience. 

We offer: 

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

• Flexible schedule, fully remote work. 

• 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.

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 — 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 — 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.
 

“Product” 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 “stats 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 “p-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 “Data 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 “product” 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

   

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.

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

Recently acquired by Panopto — a leader in interactive video solutions — 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

Requirements:- BS/MS degree in Computer Science or related field;
- 2-3 years of experience in Data Science, Machine Learning, or a related role;
- Strong proficiency in Python and libraries such as NumPy, Pandas, Scikit-Learn;

- Experience in Data Analysis

- Experience with Classic ML 

- Experience with NLP frameworks and libraries;
- Proficiency in data visualization tools such as Matplotlib, Seaborn, or Plotly;
- Knowledge of data mining, feature engineering, and whole ML model building lifecycle;
- Hands-on experience with building custom LLM

- Experience with SQL and database management systems (e.g., PostgreSQL, MySQL);
- Strong communication skills and the ability to work in a collaborative team environment

Responsibilities:
- Developing an advanced Large Language Model (LLM)-based intelligent agent
- Analyze large datasets to extract meaningful insights and identify trends and patterns;
- Design, develop, and implement algorithms and predictive models;
- Develop data-driven analysis using statistical and analytics methodologies to solve business problems;
- Building the ML-based solution;
- Work with NLP 

Languages:
- Upper-intermediate level of English (B2)

Would be a plus:
- Hands-on experience with cloud services (GCP/AWS/Azure)

- Experience AI-driven applications with a strong emphasis on RAG (Retrieval-Augmented Generation)

- Experience with TensorFlow and PyTorch

- Design and implement RAG pipelines to significantly improve data ingestion, vectorization, and automated language generation processes