Jobs

Overview

We are seeking a highly skilled and experienced Senior/Lead Computer Vision Engineer specializing in Navigation to join our innovative R&D team. In this pivotal role, you will drive the development and deployment of state-of-the-art computer vision algorithms for autonomous navigation systems, contributing to our efforts in robotics, autonomous vehicles, drones, or similar fields. You will work cross-functionally with engineering, product, and research teams to deliver robust, real-time solutions that enable safe and intelligent navigation in dynamic environments.

Responsibilities

• Lead the design, development, and optimization of computer vision algorithms for localization, mapping, and navigation.
• Develop and implement algorithms for object detection, segmentation, SLAM, 3D scene reconstruction, visual odometry, and sensor fusion (using cameras, LiDAR, IMUs, etc.).
• Guide the integration of computer vision modules with navigation and control systems, ensuring seamless operation in real-world conditions.
• Collaborate with software, hardware, and product teams to define requirements and deliver scalable, robust navigation solutions.
• Stay current with advancements in deep learning, computer vision, and robotics, and introduce relevant state-of-the-art techniques into the product.
• Design and execute experiments to evaluate performance and robustness; analyze results and iterate on solutions.
• Prepare technical documentation, progress reports, and presentations for internal and external stakeholders.

Requirements

• 5+ years of experience in computer vision, preferably in navigation, robotics, or autonomous systems.
• Master’s or PhD in Computer Science, Robotics, Electrical Engineering, or related field.
• Strong proficiency in Python and/or C++.
• Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and classical computer vision libraries (e.g., OpenCV, PCL).
• Experience in deploying and optimizing models for single-board computers such as Raspberry Pi, Nvidia Jetson
• Proven track record of developing and deploying real-time vision algorithms for navigation tasks in challenging environments.
• Extensive knowledge of SLAM, visual odometry, sensor fusion, and related algorithms.
• Experience with ROS, embedded systems, and real-time software development is a plus.
• Excellent problem-solving skills, strong analytical mindset, and effective communication abilities.

Preferred Qualifications

• Knowledge of SLAM and related models.
• Familiarity with the MAVLink protocol and ArduPilot.
• Familiarity with edge computing or real-time GPU-based inference.
• Publications or contributions to the open-source community in vision or robotics.

EPAM GenAI Consultants are changemakers who bridge strategy and technology—applying agentic intelligence, RAG, and multimodal AI to transform how enterprises operate, serve users, and make decisions. 

Preferred Tech stack 

 Programming Languages 

• Python (*) 
• TypeScript 
• Rust 
• Mojo 
• Go 

 Fine-Tuning & Optimization 

• LoRA (Low-Rank Adaptation) 
• PEFT (Parameter-Efficient Fine-Tuning) 

Foundation & Open Models 

• OpenAI (GPT series), Anthropic Claude Family, Google Gemini, Grok (*, at least one of them ) 
• Llama 
• Falcon 
• Mistral 

Inference Engines  

• VLLM 

 Prompting & Reasoning Paradigms (*) 

• CoT (Chain of Thought) 
• ToT (Tree of Thought) 
• ReAct (Reasoning + Acting) 
• DSPy 

Multimodal AI Models 

• CLIP (*) 
• BLIP2 
• Whisper 
• LLaVA 
• SAM (Segment Anything Model) 

 Retrieval-Augmented Generation (RAG) 

• RAG (core concept) (*) 
• RAGAS (RAG evaluation and scoring) (*) 
• Haystack (RAG orchestration & experimentation) 
• LangChain Evaluation (LCEL Eval) 

Agentic Frameworks 

• CrewAI  (*) 
• AutoGen, AutoGPT, LangGraph, Semantic Kernel, LangChain (* at least  2 of them) 
• Prompt Tools:  PromptLayer, PromptFlow (Azure),  Guidance by Microsoft (* at least one of them) 

Evaluation & Observability 

• RAGAS – Quality metrics for RAG (faithfulness, context precision, etc.) (*) 
• TruLens – LLM eval with attribution and trace inspection (*) 
• EvalGAI – GenAI evaluation testbench 
• Giskard – Bias and robustness testing for NLP 
• Helicone – Real-time tracing and logging for LLM apps 
• HumanEval – Code generation correctness testing 
• OpenRAI – Evaluation agent orchestration 
• PromptBench – Prompt engineering comparison 
• Phoenix by Arize AI – Multimodal and LLM observability 
• Zeno – Human-in-the-loop LLM evaluation platform 
• LangSmith – LangChain observability and evaluation 
• WhyLabs – Data drift and model behavior monitoring 

Explainability & Interpretability (understanding) 

• SHAP 
• LIME 

Orchestration & Experimentation (*) 

• MLflow 
• Airflow 
• Weights & Biases (W&B) 
• LangSmith 

 Infrastructure & Deployment 

• Kubernetes 
• Amazon SageMaker 
• Microsoft Azure AI 
• Goggle Vertex AI  
• Docker 
• Ray Serve (for distributed model serving) 

Responsibilities 

• Lead GenAI discovery workshops with clients
• Design Retrieval-Augmented Generation (RAG) systems and agentic workflows
• Deliver PoCs and MVPs using LangChain, LangGraph, CrewAI , Semantic Kernel,  DSPy, RAGAS 
• Ensure Responsible AI principles in deployments (bias, fairness, explainability) 
• Support RFPs, technical demos, and GenAI architecture narratives 
• Reuse of accelerators/templates for faster delivery 
• Governance & compliance setup for enterprise-scale AI 
• Use of evaluation frameworks to close feedback loops 

Requirements 

• Consulting: Experience in exploring the business problem and converting it to applied AI technical solutions; expertise in pre-sales, solution definition activities 
• 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.)   
• 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 clients in a leadership position. Experience in managing and growing a team to scale up Data Science, AI, and ML capabilities is a big plus. 
• Excellent communication skills (active listening, writing and presentation), drive for problem solving and creative solutions, high EQ 
• Experience with LLMOps or GenAIOps tooling (e.g., guardrails, tracing, prompt tuning workflows) 
• Understanding of the importance of AI products evaluation is a must 
• Knowledge of cloud GenAI platforms (AWS Bedrock, Azure OpenAI, GCP Vertex AI) 
• Understanding of data privacy, compliance, and Governance in GenAI (GDPR, HIPAA, SOC2, RAI, etc.) 
• In-depth understanding of a specific industry or a broad range of industries. 

About Us

Cherry is a fast-growing market place for buying, selling, leasing, and auctioning commercial vehicles and equipment. We’re building an industry-first valuation engine that helps our users make informed decisions in seconds. Now, we’re looking for a Machine Learning Engineer who can bring strong expertise in predictive modeling, and ideally document automation using AI.

Role Overview

We are seeking an experienced ML specialist to build models that predict market prices for trucks and equipment based on auction results, historical sales, and vehicle specifications. This role will also involve setting up automated data pipelines, scraping structured and semi-structured data, and optionally working on generating intelligent reports or documents from data.

Key Responsibilities

• Build and refine price prediction models using data from auction sites, dealership listings, and historical records.
• Design and maintain data scraping pipelines will be a plus (e.g., BeautifulSoup, Selenium, Scrapy) to gather auction and sale data from multiple public sources.
• Clean, normalize, and store data efficiently for training and inference.
• Apply feature engineering techniques on specs like make, model, mileage, year, VIN, etc.
• Work closely with product and engineering teams to deploy models in production.
• (Optional but valued): Use NLP or generative AI to create documents or listing descriptions automatically.

Requirements

• Proven experience in machine learning with a focus on regression/predictive models.
• Strong Python skills; familiar with tools like Scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch.
• Experience in web scraping is a plus (BeautifulSoup, Scrapy, etc.).
• Familiarity with model evaluation metrics for regression (e.g., RMSE, MAE).
• Comfortable working with structured data (CSV, JSON, APIs) and preprocessing pipelines.
• Fluent in Git and version control workflows.
• Experience deploying or working with models in production (FastAPI, Flask, AWS/GCP preferred).

Nice to Have

• Familiarity with automated document generation, AI agents, or LLM APIs (OpenAI, Langchain).

   

We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones.

Currently, we are looking for a ML Engineer for The Playa

Location: Remote

Job Type: Full-Time

About our client:

The Playa helps iGaming platforms boost engagement, revenue, and ROMI by up to 25% by understanding and profiling player behavior, detecting positive and suspicious activities, and delivering tailored recommendations to each player.

More information about The Playa solutions can be found on www.theplaya.solutions

Role Overview:

We are looking for an experienced Machine Learning Engineer to build, deploy, and maintain machine learning solutions that are ready for production. In this role, you will solve challenging problems, develop recommendation systems, and improve machine learning workflows to deliver real-world impact.

Responsibilities:

• Design, create, and deploy machine learning models for regression, classification, and clustering.
• Develop and improve recommendation systems to meet business needs.
• Write clean, efficient, and scalable code in Python.
• Use AWS tools and services to build reliable, cloud-based machine learning solutions.
• Manage workflows with Airflow and handle containerized environments using Docker.
• Write and optimize SQL queries for data extraction, transformation, and analysis.
• Work with the team to follow best practices in version control (Git) and testing.
• Apply basic MLOps practices to improve machine learning processes.

Requirements:

Must-Have Skills:

• At least 3 years of hands-on experience in machine learning and data science.
• Strong skills in Python, SQL, and Git.
• Hands-on experience with cloud platforms (preferably AWS), workflow orchestration using Airflow, and containerization with Docker.
• Good understanding of machine learning techniques, such as regression, classification, and clustering.
• Proven ability to deliver robust, scalable, and production-grade code.
• English proficiency at an upper-intermediate level or higher.

Nice-to-Have Skills:

• Experience in building and deploying recommendation systems.
• Familiarity with testing and MLOps practices.
• A Master’s degree in Computer Science, or a related field.

Benefits:

• Education budget of $600 per year provided
• Professional English courses
• Medical Insurance

Interview process:

1. Recruiting Interview — (45 mins)
2. Tech + Live Coding (60 mins)
3. ML Design + Behavioral (60 mins)
4. Cultural Fit interview — (60 mins)

Thanks for your interest! In the case of your application, we will review it within 5 working days. If it meets the job requirements, we will arrange a call and will be happy to get to know each other better. Otherwise, we’d love to stay in touch waiting for other opportunities to become available.

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 SLAM, Visual-Inertial Odometry (VIO), and sensor fusion.

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

Required Qualifications:

• 3+ years of hands-on experience with classical computer vision
• Knowledge of popular computer vision networks and components 
• Understanding of geometrical computer vision principles
• Hands-on experience in implementing low-level CV algorithms
• Practical experience with SLAM and/or Visual-Inertial Odometry (VIO)
• Proficiency in C++
• Experience with Linux
• Ability to quickly navigate through recent research and trends in computer vision.

Nice to Have:

• Experience with Python
• Familiarity with neural networks and common CV frameworks/libraries (OpenCV, NumPy, PyTorch, ONNX, Eigen, etc.)
• Experience with sensor fusion.

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 the Role:
We are looking for a skilled and experienced Machine Learning Engineer to join our team in the healthcare domain, with a specific focus on orthodontics. You will play a key role in developing and implementing ML-driven solutions to support diagnosis, treatment planning, and predictive analytics in dental and orthodontic care. Your work will directly contribute to improving patient outcomes and enhancing clinical workflows.

Responsibilities:

• Design, develop, and deploy ML models tailored for orthodontic applications (e.g., image analysis, anomaly detection, treatment prediction).
• Collaborate closely with data scientists, dental professionals, and software engineers to define and refine project goals.
• Preprocess and analyze large datasets, including 2D/3D medical images, patient records, and treatment histories.
• Ensure high model performance, robustness, and clinical interpretability.
• Conduct research and stay updated on the latest ML/AI trends in the healthcare and dental domains.
• Document and present technical solutions and findings to both technical and non-technical stakeholders.

Requirements:

• 4+ years of hands-on experience in machine learning, preferably in the healthcare domain.
• Strong knowledge of ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid experience working with medical imaging (X-rays, CBCT, intraoral scans) is a major plus.
• Proficiency in Python and common data science libraries.
• Experience with data preprocessing, annotation pipelines, and model evaluation.
• Familiarity with regulatory and privacy standards (e.g., HIPAA, GDPR) is an advantage.
• Excellent problem-solving skills and attention to detail.
• English level: Upper-Intermediate or higher – ability to participate in technical discussions and write clear documentation.

Nice to Have:

• Experience with 3D data processing and computer vision techniques.
• Background in dental or orthodontic workflows and terminology.
• Publications or contributions in relevant ML/AI or medical imaging conferences.

🚀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.

Technologies

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

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 MLOps 
• Work with clients to deliver AI Products which provide value to end-users 
• 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 offerings 
• Bring your creative engineering mind to deliver real-life practical applications of Machine Learning 
• Work closely with DevOps practice on infrastructure and release planning 

Requirements

• Consulting: Experience in exploring the business problem and converging it to applied AI technical solutions; expertise in pre-sales, solution definition activities  
• 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.)  
• 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)

We offer

• Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
• Receive the necessary equipment to perform your work tasks
• Change projects and technology stacks within EPAM
• Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
• Consider relocation options in over 30 countries worldwide
• Participate in volunteer, charity programs and communities (both technical and interest-based)
• You can plan your individual career path together with your manager
• Receive regular feedback from colleagues
• Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
• Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
• Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
• Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
• Study at EPAM Solution Architecture School with the instructors who are practicing architects
• Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
• Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)
• Vacation and sick leave (including a sick leave without a medical certificate)
• A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
• Medical insurance for family members at corporate rates
• Company support during significant life events (childbirth or adoption, marriage, etc.)
• Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
• E-kids program - a free programming language training program for EPAMers' children

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. 

Onlyplay is a dynamic and innovative product company that specializes in developing high-quality gambling games for top-popular platforms. We're looking for talented professionals to join our team and help us bring cutting-edge ideas and trends to the iGaming area.

We are looking for a talented and experienced mathematician to join our team as a Mathematician. You will be responsible for creating and developing mathematical models and algorithms to enhance our existing games.

For which tasks (responsibilities)?

— Develop and implement mathematical models for slot machines and lotteries

– Develop and implement mathematical models for marketing

— Analyze game data and provide insights and recommendations for game improvements

— Collaborate with software developers, game designers, and other stakeholders to ensure game math is optimized

— Stay up-to-date with industry trends and advancements in mathematics and statistics related to online gambling

— Help develop, maintain documentation and certification documentation related to game math

What kind of professional are we looking for?

— Advanced degree in mathematics, statistics

— Strong understanding of probability theory, statistical analysis, and algorithms

— Experience with software such as Matlab, R, or Python for mathematical modeling and data analysis

— Strong problem-solving skills and ability to work independently

— Excellent communication and collaboration skills

— Experience in mathematics, statistics, or a related field, preferably in the online gambling industry (will be a plus)

If you are passionate about mathematics and interested in working in the online gambling industry, we want to hear from you! Join our team as a Mathematician and help us create exciting and engaging gambling for players around the world.
 

Why do we enjoy working here?

— You can work from any part of the world (remote work)

— Working hours: 10:00/11:00 — 19:00/20:00, Mon-Fri

— Job in an international company

— The opportunity to join a fast-growing team of professionals and a cool product

— Stable and decent salary (based on interview results)

— An opportunity for career and professional growth

— An opportunity to implement your ideas

— Ability to implement ambitious projects

— Promptness of decision-making, absence of bureaucracy

We’re building a world-class machine learning platform at Sixt and looking for a Senior Data Scientist to help shape our real-time dynamic pricing systems across global markets.

You’ll join a collaborative team working at the intersection of ML, experimentation, and pricing strategy, building algorithms that respond to market signals in real time and impact millions of customers.

This is a career-building opportunity for someone passionate about applied machine learning, optimization, and solving complex business challenges with measurable impact.

🔧 What You’ll Do

• Design and implement ML models for dynamic pricing, including experimentation-driven and real-time approaches
• Apply (or learn) methods such as multi-armed bandits, Bayesian inference, and reinforcement learning
• Collaborate with engineers, product managers, and pricing analysts to deploy scalable ML systems into production
• Monitor and evaluate model performance through A/B testing and real-world feedback loops
• Communicate methodologies, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to building a robust pricing decision engine integrated into global customer-facing systems

✅ What You Bring

We’re looking for someone with hands-on ML experience and a drive to apply it in production:

• B.Tech/B.E. or Master’s Degree in Computer Science, Engineering, or a related discipline (must-have)
• 5+ years of experience in machine learning, data science, or ML engineering
• Proficiency in Python, with experience in ML libraries such as PyTorch, TensorFlow, or scikit-learn
• Practical experience deploying ML models into production, ideally with tools like FastAPI, Docker, or MLflow
• Solid understanding of model evaluation, A/B testing, or real-time model monitoring
• Fluent English communication and the ability to work effectively in an international, cross-functional team

🌱 Nice to Have (We’ll Help You Learn)

These are a plus, but we’re happy to support your learning here:

• Experience with multi-armed bandits, reinforcement learning, or Bayesian modeling
• Knowledge of dynamic pricing, revenue management, or real-time optimization
• Familiarity with cloud ML platforms (AWS/GCP/Azure) or MLOps tooling
• Experience with streaming data or feedback-based model architectures

🚀 Career Path

This role is built for growth — start as a Senior Data Scientist with real impact, and evolve into a Lead ML Architect or Optimization Strategist, driving intelligent pricing at scale for Sixt.

🎁 What We Offer

• Competitive salary (settled in EUR, via direct employment at Sixt TECH Ukraine)
• 25 calendar days of paid vacation
• Full medical insurance
• Educational & learning budget
• Gym membership + language learning support
• Flat hierarchies, flexible hours, and zero corporate nonsense
• A truly global product and a high-impact role

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.

PwC is a network of over 328,000 employees in 149 countries focused on providing the highest quality services in the areas of audit, tax advisory, consulting and technology development.

What we offer:
- Official employment;
- Remote work opportunity;
- Annual performance and grade review;
- A Dream team of experienced colleagues and high-class specialists;
- Language courses (English & Polish languages);
- Soft skills development;
- Personal development plan and career coach;
- Corporate events and team-buildings.

Main responsibilities:

• Developing innovative solutions for our clients by leveraging cutting-edge data science, machine learning, and AI technologies;
• Developing intelligent assistants using the latest large language models (e.g., GPT-4, Falcon 2, LLAMA 3, Mixtral), employing Retrieval Augmented Generation techniques, and utilizing agent frameworks (e.g., Langraph, CrewAI);
• Utilizing AI expertise to recommend the most effective technical approaches and solution architectures for addressing business challenges;
• Leading data science project teams of 1-5 members, managing small to medium projects, and overseeing parts of larger engagements under senior supervision;
• Working closely with PwC industry experts, clients, and higher management while actively participating in the proposal-making process within your area of expertise;
• Communicating complex insights in a clear and actionable manner to non-technical colleagues and clients.

Requirements:

• 3+ years of relevant professional experience;
• Solid knowledge of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model life-cycle, AI architectures;
• Knowledge and experience in production grade code development in Python;
• Solid knowledge of SQL;
• Experience with LLMs and related concepts (e.g. RAG, vector DBs, AI agents);
• Understanding of cloud concepts and architectures, with hands-on experience in cloud services (GCP, AWS, Azure);
• Knowledge of CI/CD and DevOps practices;
• Experience with deploying code with Docker / Kubernetes;
• Strong interpersonal and communication skills — essential in day-to-day cooperation with clients and the team;
• Outstanding supervision and mentorship abilities;
• Graduate of Economics, Econometrics, Quantitative Methods, Computer Science, Math, Physics, Operational Research or related discipline;
• Excellent analytical and problem-solving skills, including the ability to independently disaggregate issues, identify root causes and recommend solutions to business problems;

• Proficiency in English, both written and spoken.

   

  Nice to have: 

• Familiarity with MLOps tools (e.g., Azure AI Studio, AzureML, Vertex.AI, SageMaker, MLFlow);
• Knowledge of an extra programming language (e.g. C#, Go, Java);
• Knowledge of Natural Language Processing techniques;
• Experience in banking, retail or consulting;
• Experience in leading project teams.

Why PwC?

We are not just numbers and reports. PwC is the impact you can create through your actions. Our team will help you achieve more, and we are ready to start this journey with you.

Ready for a challenge? Send your resume and join the team that is shaping the future!