Jobs

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

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

Main areas of work:

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

Responsibilities:

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

Requirements:

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

We offer:

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

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

About project:
isitetech is an innovative startup focused on transforming the oil and gas industry through advanced data solutions. Our core product is a powerful web application built on Google Application Engine and a complementary iPad app, designed to efficiently collect, analyze, and visualize data from oil facilities.

This platform empowers our clients to make informed, data-driven decisions, optimizing their operations and improving efficiency. We operate with a distributed, global team, with our head office in Dallas and development hubs in Ukraine (Kharkiv, Kyiv), Spain, and Poland. Our philosophy emphasizes efficiency and flexibility, with a focus on results-oriented work and communication primarily via Slack, rather than rigid daily calls.

Requirements:

- 5+ experience in applying data science and machine learning techniques
- Python programming using classic scientific stack (numpy, pandas, scipy, scikit-learn, pytorch, lightgbm, matplotlib or any other visualization library)
- Understanding of classic machine learning algorithms and theory (supervised/unsupervised learning techniques, metrics and visualizations for interpretation of model performance, time-series analysis, anomaly detections, recommendation models, hyperparameter optimization)

- NLP (NLP techniques, GenAI, LLM finetuning)

- Statistics and optimization basic understanding

- Data manipulation and cleaning skills (fill missing entries / filter dataframes / apply certain changes to columns)

- Prior experience with Python web frameworks would be great, but not critical (FastAPI, Flask or anything else)

- Dockerization technologies

- Cloud solutions (any of AWS, GCP, Azure)
- Understanding of prompt engineering or experience with building scripts or applications around LLMs
- Proficient with SQL (Postgres, Snowflake), NoSQL (ElasticSearch, Mongo(optional))
- Monitoring services

 Responsibilities:
- Work on time series forecasting problems with real, complex data. Implement features, interpret their importance, train models and incorporate them in the production pipeline.
- Work on LLM-based solutions, which use techniques like Contextual RAG (Retrieval Augmented Generation), LLM as Judge, semantic search, chatbot services, etc.

- Create anomaly detection models and clustering methods for non-stationary, “dirty”, semi-organized data
 

WE ARE

SoftServe is a global digital solutions company, headquartered in Austin, Texas, and founded in 1993.

With 2,000+ active projects across the USA, Europe, APAC, and LATAM, we deliver meaningful outcomes through bold thinking and deep expertise. Our people create impactful solutions, drive innovation, and genuinely enjoy what they do.

The AI and Data Science Center of Excellence (CoE) is SoftServe’s premier AI/ML hub, primarily based in Europe. With 130+ experts—including data scientists, research analysts, MLOps engineers, ML and LLM architects—we cover the full AI lifecycle, from problem framing to deployment.

In 2024, we delivered 150+ AI projects, including over 100 focused on Generative AI, combining scale with measurable impact.

We are a 2024 NVIDIA Service Delivery Partner and maintain strong collaborations with Google Cloud, Amazon, and Microsoft, ensuring our teams always work with cutting-edge tools and technologies.

We also lead Gen AI Lab—our internal innovation engine focused on applied research and cross-functional collaboration in Generative AI.

In 2025, a key area of innovation is Agentic AI — where we design and deploy autonomous, collaborative agent systems capable of addressing complex, real-world challenges at scale for our clients and internally.

IF YOU ARE

• A holder of a Ph.D. or master’s degree in Computer Science or a related field
• Experienced in Generative AI and natural language processing (NLP), working with large-scale transformer models and generative pre-trained LLMs like GPT-4, Claude, and Gemini
• Knowledgeable about the latest advancements in diffusion models and other generative frameworks for text and image generation
• Adept at applying advanced deep learning techniques to practical use cases
• Well-versed in emerging trends and breakthroughs in machine learning, deep learning, and NLP, with a strong focus on their real-world applications
• Proficient in working with state-of-the-art pre-trained language models like GPT-4 and BERT, including fine-tuning for specialized tasks
• Aware of the software development lifecycle for AI projects and the operationalization of machine learning models
• Experienced in deploying AI solutions on major cloud platforms
• Hands-on with Python and deep learning frameworks such as TensorFlow or PyTorch
• Skilled in interpersonal communication, analytical reasoning, and complex problem-solving
• Capable of translating technical concepts into clear, concise insights that non-technical audiences can easily grasp
• Proficient in business communication in English at an upper-intermediate level

AND YOU WANT TO

• Work with the full stack of data analysis, deep learning, and machine learning model pipeline that includes deep analysis of customer data, modeling, and deployment in production
• Choose relevant computational tools for study, experiment, or trial research objectives
• Drive the development of innovative solutions for language generation, text synthesis, and creative content generation using the latest state-of-the-art techniques
• Develop and implement advanced Generative AI solutions such as intelligent assistants, Retrieval-Augmented Generation (RAG) systems, and other innovative applications
• Produce clear, concise, well-organized, and error-free computer programs with the appropriate technological stack
• Present results directly to stakeholders and gather business requirements
• Develop expertise in state-of-the-art Generative AI techniques and methodologies
• Grow your skill set within a dynamic and supportive environment
• Work with Big Data solutions and advanced data tools in cloud platforms
• Build and operationalize ML models, including data manipulation, experiment design, developing analysis plans, and generating insights
• Lead teams of data scientists and software engineers to successful project execution

TOGETHER WE WILL

• Be part of a team that's shaping the future of AI and data science through innovation and shared growth.
• Advance the frontier of Agentic AI by shaping intelligent multi-agent ecosystems that drive autonomy, scalability, and measurable business value.
• Have access to world-class training, cutting-edge research, and collaborate with top industry partners.
• Maintain a synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environments
• Communicate with the world-leading companies from our logos portfolio
• Enjoy the opportunity to work with the latest modern tools and technologies on various projects
• Participate in international events and get certifications in cutting-edge technologies
• Have access to powerful educational and mentorship programs
• Revolutionize the software industry and drive innovation in adaptive self-learning technologies by leveraging multidisciplinary expertise

🚀AIMPROSOFT —  Machine Learning Engineer Opportunity!  

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

🎯About the role:  

In this role, you will be responsible for the full spectrum of AI development - from implementing and training machine learning models to developing sophisticated AI agents and RAG (Retrieval-Augmented Generation) systems. You'll contribute to the company's AI SDLC initiatives, lead the integration of cutting-edge AI tools, and deliver internal knowledge-sharing sessions. Your work will span training Computer Vision models, building intelligent document processing systems, architecting RAG pipelines for knowledge extraction, and developing LLM-powered applications for document classification and smart automation. You'll also participate in client projects on an outsourced basis, working on real-world AI solutions across the entire development lifecycle.

The ideal candidate brings a strong product mindset, is proactive in adopting and implementing state-of-the-art AI technologies, and is keen to mentor others and promote a culture of continuous learning and technical excellence.
 
🔥What We Need From You: 

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

• English proficiency at B2 (Upper-Intermediate) level or higher.

   

AI Agents & RAG Systems:

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

• Knowledge of prompt engineering and chain-of-thought reasoning techniques

   

Infrastructure & Deployment:

• Proficiency with Flask/FastAPI for ML model serving and API development
• Hands-on experience with Docker for containerization

• Proficient in Git for version control

   

Nice to Have:

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

💼What We Offer: 

• Opportunity to work with AI 
• A competitive salary that appreciates your skills and experience 
• Cozy atmosphere and modern approaches. We have neither bureaucracy nor strict management or "working under pressure" conditions 

• Opportunity to implement your ideas, tools, and approaches. We are open to changes and suggestions aimed at improvement 

   

The Green Power Solution idea is to implement a Service that will identify delays in train travel along the routes, caused by Temporary Speed Restrictions (TSRs) and other mid- and long-term issues, and suggest preventive compensations of such delays, to keep trains on time without extra accelerations and thus without extra energy consumption.

Job Description

Qualifications
- 5+ years of hands on experience with ML

• -Optimization Algorithms  (solvers for nonlinear problems (with support for both local and global optimization algorithms), linear programming, constrained and nonlinear least-squares, root finding curve fitting, etc.), COT, RL/DRL
• Strong background in classical machine learning and statistical modeling.
• Deep understanding of optimization algorithms:
• Solvers for nonlinear, constrained, and least-squares problems
• Curve fitting, root finding, and related numerical methods
• Experience with Reinforcement Learning / Deep RL frameworks.
• Familiarity with COT (Causal Optimization Trees) or related decision-based optimization approaches is a strong plus.
• Proficiency in Python (SciPy, NumPy, PyTorch/TensorFlow, scikit-learn, etc.); additional experience with C++ or Julia is a bonus.
• MSc or PhD in Computer Science, Applied Mathematics, Engineering, or a related field.

• As a plus
  FastAPI,(Reddis, Postgres). Python, Docker (Cloud)

• Experience with simulation-based optimization

  Background in operations research or mathematical modeling

  Contributions to open-source optimization or ML libraries

   

Job Responsibilities

We are looking for a highly skilled Machine Learning Engineer with strong expertise in classical ML methods, mathematical optimization, and reinforcement learning (RL/DRL). This role is ideal for someone who enjoys working on challenging applied research and engineering tasks involving solvers, optimization techniques, and real-world problem modeling.

Key Responsibilities

• Design, implement, and optimize algorithms for:
• Nonlinear optimization problems (both local and global solvers)
• Linear programming
• Constrained and nonlinear least-squares
• Root finding and curve fitting
• Develop and apply classical ML models as well as custom optimization-driven solutions.
• Implement and experiment with Reinforcement Learning (including Deep RL) techniques.
• Work on Causal Optimization Trees (COT) and decision-based optimization frameworks.
• Collaborate with cross-functional teams (e.g., product, data engineering, domain experts) to integrate algorithms into production systems.
• Document and communicate technical concepts clearly to technical and non-technical stakeholders.

The product that needs your engagement: 

Mobion & OnTaxi

Our mission is to propel the success of global ride-hailing companies by delivering intelligent, scalable SaaS solutions. Since 2016, we have optimized operations, enhanced user experience, and driven profitability with powerful analytics, intuitive interfaces, and flexible customization. With deep industry expertise and cutting-edge technology, we provide the agility and insights needed to thrive in any market, empowering businesses to adapt and grow in a fast-changing environment. 
 

Technical stack: Python, Spark, SQL, Kubeflow, MLflow, ETL. 
 

Your future team of professionals:

You will be part of the Mobion product Data & Research team and work with highly motivated professionals who are passionate about the project. You will collaborate with engineers, product managers and analysts.

Your future challenges:

Development of new machine learning models, improving the efficiency of business processes, such as demand forecasting and pricing.

Impact you will make:

— Development of machine learning models: Building and supporting models for pricing, demand forecasting, routing and analyzing customer behavior

— Data Science: Work with large volumes of data to uncover hidden dependencies and anomalies

— Deploying models to production: Collaborate with engineers to integrate models into the system

— Model monitoring and optimization: Constantly monitoring model latency, scalability, and implement versioning strategy

— Working with Business Teams: Collaborate with product managers and other teams to integrate models into the decision-making process

— A/B Testing and Model Evaluation: Analyze the results of experiments to improve the product.

Skills we are looking for:

— 4+ years of experience in data science
— Proven experience developing ML models for Surge Pricing, Demand Forecasting, or similar high-load, real-time prediction systems
— Experience working with time-series, geospatial data, and dynamic pricing algorithms is a strong plus

— Experience with Python (statistical and ML packages) and Spark

— Expert knowledge in SQL

— Knowledge of mathematical and applied statistics, probability theory, regression analysis

— Experience with ML tools: Kubeflow, MLflow, and ETL tools

— Experience in data preparation, feature engineering, and model evaluation.

— Git and Gitflow Workflow knowledge

— Successful experience in developing and implementing DS solutions into a product that led to improved business results
— English Upper-Intermediate or higher

Additional skills we would appreciate:

— Familiarity with mobility, logistics, or transportation data and KPIs (ETA predictions, surge pricing, driver utilization)

Benefits you get: 

• Maintain your work-life balance 

Manage your own working hours with our flexible schedule 
19 days of annual vacation granted on pro-rata basis 
No overtimes required 

• Hybrid type of cooperation 

Whether you prefer to work remotely in the comfort of your home office or from one of our 4 offices, you can still take part in increasing world`s awareness about quality Ukrainian products from any part of the world 

• Stay healthy 

Medical insurance from one of the top insurance companies in Ukraine with a wide range of included services, as well as special programs for relatives; special options for those who live abroad. 
15 working days of sick leave per year – because your health is a priority. 

• Grow with us 

In-house English courses – increase your proficiency through our online courses and speaking clubs with a native speaker 
Online learning activities – workshops, lectures and webinars to enhance your leadership, management and self-awareness skills 
Experience exchange – we are proud of our team of professionals who gladly share their deep expertise in all kinds of fields with the rest of the team 
Promotions, rotations and transitions – when you feel like your skills could be useful in other position or team 

 
We are a perfect match if you share our values 

We are professionals in our field. 

We know how to turn up our professionalism to the maximum, because we are experts who enjoy solving complex tasks. 

We know how to focus on the product, think big, and at the same time delve deep into the details. 

We create a calm and friendly atmosphere within the company. 

We value the freedom of open and transparent communications. 

Radical honesty is embedded in the foundation of our culture. 

We are open to new things and constantly develop and practice regular knowledge sharing, which helps us evolve continuously. 

Most importantly, the company creates an environment where we can fulfill our potential upon a solid foundation. 
 
Our Hiring process  

• CV screening 
• Recruiting interview  
• Technical interview  
• Offer call 

We strive to ensure transparency and openness in the hiring process, and we understand the importance of providing timely feedback. If your resume meets the job requirements, we will contact you to clarify details and schedule an interview within 2 weeks after your application is submitted. 
The timeframe for feedback between interview stages may take up to 2 weeks. 

We are looking for a Computer Vision Scientist to join our team.
The project vision is to revolutionize traffic management technology with a new platform that leverages advanced sensor fusion for managing complex junction scenarios.

Key Responsibilities:
- Research, design, and develop CV algorithms and models from scratch to solve complex scenarios
- Collaborate with engineers to integrate CV algorithms and models into software systems and applications
- Conduct experiments and evaluations to assess the performance and accuracy of CV models and algorithms
- Identify and collect relevant datasets and annotations to train and test computer vision models and algorithms
- Stay up-to-date with the latest research and advancements in CV
- Communicate research findings and insights to relevant stakeholders

Requirements:
- Experience in designing and implementing CV models and algorithms, especially Segmentation/Detection/Recognition/Tracking
- Experience in designing and implementing algorithms and components for lidars and stereo cameras
- Strong knowledge of OpenCV
- Strong knowledge of DL frameworks for the computer vision area, especially PyTorch
- Proficiency in programming languages such as C++
- Experience and capability in working with related publications
- Strong analytical and problem-solving skills
- Advanced English written and verbal communication skills (C1/C2)
- Master's degree in Computer Science, or a related field
- Autonomous, self-reliant person focused on delivery.

A plus to have:
Python
- Experience with the number plate recognition algorithms
- Experience with the multicamera object tracking algorithms
- Experience with 3D (CloudPoints) object detection
- Familiarity with ROS / ROS2
- Familiarity with edge (embedded) development, C++, and IoT
- PhD with AI/CV/ML-related publications.

Digis is looking for a Senior Data Scientist to join an early-stage US-based femtech startup focused on hormonal health and personalized insights.

About the Project:

A rapidly growing healthtech product with a mission to improve hormonal health through predictive analytics and user personalization. The app is live, post-MVP, and scaling its data pipeline and infrastructure to support real-time predictions and meaningful health scoring.

• Country & Time Zone: USA (EST), with flexibility but some overlap required (up to 20:00 Kyiv time)
• Stage: Active product with users, scaling data systems, and ML-backed features
• Engagement: Long-term, 20 hours/week
• Methodology: Agile, lean, async-first with weekly calls and high autonomy

Your Role:

As the first data hire, you’ll own the data function end-to-end — from architecture and pipelines to insights and model development. You’ll work closely with the co-founder and product lead to shape the platform’s personalization engine and build scalable data tools.

Responsibilities:

• Build hormone cycle prediction models
• Design and iterate on health scoring systems
• Create population-level insight dashboards for brand partnerships
• Build a scalable data infrastructure to support growth
• Develop personalization algorithms and recommendation logic

Requirements:

• Python – 5+ years of experience
• SQL + Data Warehousing (BigQuery mandatory, Redshift/Snowflake optional) - 2+ years of experience
• GCP (Vertex AI, BigQuery) – 1+ years of experience
• Experience leading data initiatives in an early-stage startup and working independently
• Have worked with:
  time-series and behavioral data analysis
  anomaly detection, clustering, outlier scoring
  pattern recognition, and basic ML models
• Healthcare / Biotech domain - any experience 
• English level: B2+ (comfortable passing a tech interview)

What Makes This Opportunity Unique:

• Mission-driven work in the femtech space, backed by Mayo Clinic
• Access to 67M+ health data points
• First data hire = real ownership and influence
• Highly autonomous role with room to grow the data function
• Direct collaboration with technical founders (Forbes 30u30)

If this sounds interesting, reply with your CV and expected hourly rate in USD (gross). Looking forward to hearing from you!

Mirko Solutions is an International Global team of charged people, ready to work for results. We provide a full range of services in the development and support of websites, platforms, CRM, applications for Android and iOS. We continue growing rapidly, so now we are looking for a proactive Senior Data Scientist/Analyst.

Responsibilities:

🔸 Data Exploration & Analysis: Collect, clean, and analyze data from multiple sources to generate actionable insights.

🔸 Business Intelligence: Build dashboards, reports, and visualizations to monitor key game metrics and support strategic decisions.

🔸 Player Behavior Analysis: Identify trends, player patterns, and opportunities for engagement improvement.

🔸 Experimentation & A/B Testing: Design and evaluate experiments to optimize gameplay features and monetization strategies.

🔸 Cross-Functional Collaboration: Work closely with product managers, game designers, and developers to ensure data informs decision-making.

🔸 Process Improvement: Develop and implement data processes and best practices to improve efficiency and accuracy.

Requirements:

🔸 5+ years of experience in data analysis, business intelligence, or data science.
🔸 Proficiency in SQL and strong experience with BI tools (Tableau, Power BI, or similar).
🔸 Strong skills in Python or R for data analysis and automation.
🔸 Solid understanding of statistics, hypothesis testing, and experimental design.
🔸 Experience working with large datasets and data pipelines.
🔸 Excellent problem-solving skills and attention to detail.
🔸 Strong communication skills and ability to present insights clearly to non-technical stakeholders.

We Offer:

🔸 Formal employment;
🔸 Option to work remotely or from our office in Lutsk (Monday to Friday, 09:00–18:00);
🔸 Paid sick leave (10 days/year) and vacation (18 days/year);
🔸 Skills and salary reviews every 7 months;
🔸 Opportunity to work on high-impact projects across multiple games;
🔸 Corporate events, team building, and a friendly atmosphere.

Mirko Solutions is an International Global team of charged people, ready to work for results. We provide a full range of services in the development and support of websites, platforms, CRM, applications for Android and iOS. We continue growing rapidly, so now we are looking for a proactive Senior Data Scientist with ML Engineering.

Responsibilities:

🔸 Data Analysis & Insights: Analyze large-scale player data to uncover patterns, trends, and opportunities for game improvement.

🔸 Machine Learning Model Development: Design, train, and deploy ML models for player segmentation, churn prediction, personalization, and game economy optimization.

🔸 ML Engineering: Build robust ML pipelines, optimize model performance, and ensure scalability in production environments.

🔸 Collaboration: Work closely with game designers, backend developers, and product managers to translate data insights into actionable features.

🔸 Innovation: Research and implement state-of-the-art machine learning techniques, including deep learning and reinforcement learning, to enhance gameplay and engagement.

Requirements:

🔸 5+ years of commercial experience in data science and ML engineering.
🔸 Strong programming skills in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
🔸 Hands-on experience with deploying ML models into production.
🔸 Proficiency in data processing frameworks (Spark, Airflow, or similar).
🔸 Solid understanding of statistics, probability, and experimental design (A/B testing).
🔸 Experience working with large datasets and SQL/NoSQL databases.
🔸 Strong problem-solving skills and ability to work in a fast-paced environment.
🔸 Good communication and teamwork abilities.

We Offer:

🔸 Formal employment;
🔸 Option to work remotely or from our office in Lutsk (Monday to Friday, 09:00–18:00);
🔸 Paid sick leave (10 days/year) and vacation (18 days/year);
🔸 Skills and salary reviews every 7 months;
🔸 Opportunity to work on an innovative game project where AI plays a key role;
🔸 Corporate events, team building, and a friendly atmosphere.

We are looking for a Computer Vision Engineer with a background in classical computer vision techniques and hands-on implementation of low-level CV algorithms. 

The ideal candidate will have experience with Object tracking, Visual-Inertial Odometry (VIO) and sensor fusion. 

We consider engineers at  Middle+ and Senior levels — tasks and responsibilities will be adjusted accordingly. 

Required Qualifications: 

• 2+ years of hands-on experience with classical computer vision
• Understanding of geometrical computer vision principles 
• Hands-on experience in implementing low-level CV algorithms
• Proficiency in C++ 
• Experience with Linux 
• Experience with Object tracking and detection tasks 
• Ability to quickly navigate through recent research and trends in computer vision. 
• Familiarity with neural networks and common CV frameworks/libraries (OpenCV, NumPy, PyTorch, ONNX, Eigen, etc.) 

Nice to Have: 

• Practical experience with SLAM and/or Visual-Inertial Odometry (VIO) 
• Experience with Python 
• Experience with sensor fusion. 

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the role:
We seek an experienced AI/ML Team Leader to join our Client’s startup team. As the Technical Lead, you will start with individual technical contributions and later will take an engineering manager role for the hiring team. You will create cutting-edge end-to-end AI camera solutions, effectively engage with customers and partners to grasp their requirements and ensure project success, overseeing from inception to completion.

Requirements:
- Proven leadership experience with a track record of managing and developing technical teams;
- Excellent customer-facing skills to understand and address client needs effectively;
- Master's Degree in Computer Science or related field (PhD is a plus);
- Solid grasp of machine learning and deep learning principles;
- Strong experience in Computer Vision, including object detection, segmentation, tracking, keypoint/pose estimation;
- Proven R&D mindset: capable of formulating and validating hypotheses independently, exploring novel approaches, and diving deep into model failures;
- Proficiency in Python and deep learning frameworks;
- Practical experience with state-of-the-art models, including different versions of YOLO and Transformer-based architectures (e.g., ViT, DETR, SAM);
- Expertise in image and video processing using OpenCV;
- Experience in model training, evaluation, and optimization;
- Fluent written and verbal communication skills in English.

Would be a plus:
- Experience applying ML techniques to embedded or resource-constrained environments (e.g. edge devices, mobile platforms, microcontrollers);
- Ideally, you have led projects where ML models were optimized, deployed, or fine-tuned for embedded systems, ensuring high performance and low latency under hardware limitations.

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- 40 days of PTO;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

Quantitative Researcher – Mid-Frequency Trading on Base Metals

The Role

We’re looking for a Quantitative Researcher to develop intraday and event-driven trading strategies—with a focus on market inefficiencies across LME, SHFE, and COMEX. You will be working at the intersection of research and engineering, building strategies that run seamlessly from simulation to production without reimplementation.

You will also help us build and test our in-house trading simulator, ensuring accurate modeling of execution, latency, and market microstructure.

Key Responsibilities

• Design, test, and deploy intraday and event-driven trading strategies (e.g., cross-exchange statistical arbitrage).
• Develop and simulate execution logic, including order placement, fill handling, and live trading integration.
• Analyze market microstructure and short-term alpha signals using both structured and alternative datasets.
• Collaborate on the development of a high-fidelity trading simulator and backtesting framework.
• Continuously iterate on strategies based on live PnL and operational feedback.

What We’re Looking For

• Strong programming skills (Python; C++ a plus), with ability to write production-grade research code.
• Experience in building trading strategies with realistic execution logic (order book models, slippage, fills).
• Contribution to live PnL, with a focus on risk-adjusted returns — sharpe ratios and other key performance metrics your strategies/alphas have delivered in production.
• Previous exposure to statistical arbitrage, cross-market spreads, or intraday alpha modeling.
• Familiarity with futures/commodities preferred, but experience in equities/fixed income FX is welcome.
• Previous work with trading simulators or execution systems is a strong plus.
• HFT or low-latency experience is welcome, though we focus on intraday to mid-horizon strategies.
• Strong ownership mindset; ability to thrive in an agile, fast-paced team.

Why Join Us

• Opportunity to work on real, production-grade strategies that directly impact the PnL.
• Greenfield development of simulator and trading infrastructure—your ideas matter.
• Highly collaborative, flat team with deep domain expertise in metals and markets.
• Competitive compensation with performance upside.

If you're passionate about bridging the gap between strategy and execution, and building robust intraday alpha in real markets—we want to hear from you.

We’re looking for a Senior Data Scientist to help shape how our clients build and scale AI solutions on AWS. In this role, you’ll develop and deploy cutting-edge generative AI models on SageMaker – from model training and fine-tuning to optimized deployment – guiding customers from ideation to production through proof of concept. You’ll work closely with startup founders, technical leaders, and account teams to create scalable, high-impact AI solutions that drive real business value.

Responsibilities:

• Model Development & Deployment: Deploy and train models on AWS SageMaker (using TensorFlow/PyTorch).
• Model Tuning & Optimization: Fine-tune and optimize models using techniques like quantization and distillation, and tools like Pruna.ai and Replicate.
• Generative AI Solutions: Design and implement advanced GenAI solutions, including prompt engineering and retrieval-augmented generation (RAG) strategies.
• LLM Workflows: Develop agentic LLM workflows that incorporate tool usage, memory, and reasoning for complex problem-solving.
• Scalability & Performance: Maximize model performance on AWS’s by leveraging techniques such as model compilation, distillation, and quantization and using AWS specific features.
• Collaboration: Work closely with Data Engineering, DevOps, and MLOps teams to integrate models into production pipelines and workflows.

Requirements:

• 4+ years of experience in machine learning or data science roles, with deep learning (NLP, LLMs) expertise.
• Expert in Python and deep learning frameworks (PyTorch/TensorFlow), and hands-on with AWS ML services (especially SageMaker and Bedrock).
• Proven experience with generative AI and fine-tuning large language models.
• Strong experience deploying ML solutions on AWS cloud infrastructure and familiarity with MLOps best practices.
• Excellent communication skills and ability to work directly with customers in a consulting capacity.
• A master’s degree in a relevant field and AWS ML certifications are a plus.

Benefits:

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• Wellbeing and professional coaching
• English classes

• Soft skills training

   

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognizing the value you bring to our team.

Quantum is a global technology partner delivering high-end software products that address real-world problems.

We advance emerging technologies for outside-the-box solutions. We focus on Machine Learning, Computer Vision, Deep Learning, GIS, MLOps, Blockchain, and more.

Here at Quantum, we are dedicated to creating state-of-art solutions that effectively address the pressing issues faced by businesses and the world. To date, our team of exceptional people has already helped many organizations globally attain technological leadership.

We constantly discover new ways to solve never-ending business challenges by adopting new technologies, even when there isn’t yet a best practice. If you share our passion for problem-solving and making an impact, join us and enjoy getting to know our wealth of experience!

About the position

Quantum is expanding the team and has brilliant opportunities for a Data Science Engineer. The client is a technological research company that utilizes proprietary AI-based analysis and language models to provide comprehensive insights into global stocks in all languages. Our mission is to bridge the knowledge gap in the investment world and empower investors of all types to become “super-investors.”

Through our generative AI technology implemented into brokerage platforms and other financial institutions’ infrastructures, we offer instant fundamental analyses of global stocks alongside bespoke investment strategies, enabling informed investment decisions for millions of investors worldwide.

Must have skills:

• At least 5 years of commercial experience in Data Science
• Strong knowledge of linear algebra, calculus, statistics, and probability theory
• Proficiency in algorithms and data structures
• Experience with Machine Learning libraries (NumPy, SciPy, Pandas, Scikit-learn)
• Experience with at least one Deep Learning framework (TensorFlow, Keras, or PyTorch)
• Knowledge of modern Neural Network architectures
• Experience in developing solutions with LLMs
• Experience with Cloud Computing Platforms (AWS, Google Cloud, or Azure)
• Practical experience with Docker
• Experience with SQL
• Strong understanding of Object-Oriented Programming (OOP) principles
• Hands-on experience in building solutions for financial domain
• At least an Upper-Intermediate level of English (spoken and written)

Would be a plus:

• Experience with MLOps solutions
• Basic understanding of Big Data concepts
• Experience in classical Computer Vision algorithms
• Participation in Kaggle competitions

Your tasks will include:

• Full-cycle data science projects
• Data analysis and data preparation
• Development of NLP/Deep Learning / Machine Learning; Developing models and deploying them to production
• Sometimes, this will require the ability to implement methods from scientific papers and apply them to new domains

We offer:

• Delivering high-end software projects that address real-world problems
• Surrounding experts who are ready to move forward professionally
• Professional growth plan and team leader support
• Taking ownership of R&D and socially significant projects
• Participation in worldwide tech conferences and competitions
• Taking part in regular educational activities
• Being a part of a multicultural company with a fun and lighthearted atmosphere
• Working from anywhere with flexible working hours
• Paid vacation and sick leave days

Join Quantum and take a step toward your data-driven future.