Jobs

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 Fintech Farm

We are a UK fintech creating successful neobanks in emerging markets in partnerships with local traditional banks.

Our success builds upon a best-in-class product, customer experience, emotional engagement, viral marketing, and deep credit decisioning expertise.

One of our founders had previously co-founded a highly successful Eastern European neobank with a multi-million customer base.

We launched our first market with Leobank in Azerbaijan in 2021, where we have already established market-leading positions. Our next market was Vietnam, where we launched Liobank in early 2023 and also gained solid traction.

We have a few more new markets in the pipeline for the next 12 months, and we are starting to build the team there.

Why Fintech Farm is a great place to be

Our ambition. We are looking to become a leading consumer digital bank brand in each market we operate making it easy for consumers to interact with their money. You could be a part of this exciting journey.

Our culture.

Customers. We always go above and beyond to provide an amazing customer experience. We serve our customers the way we would want our mom to be served. And who said that banking has to be boring? We make our apps not just easy but fun to use.

People. We are all business partners in our company. Each of us thinks big, acts as if we own the place, and never takes “No” as an answer. We work with strong individuals whom we empower and trust rather than micromanage. Common sense rather than formal policies prevails in all that we do. We always stay curious and open-minded. We embrace the We over Me culture.

Responsibilities:

• Develop and implement risk-scoring models to assess client creditworthiness, including both application and behavioral models.
• Perform feature engineering processes to enhance the quality and efficiency of predictive models.
• Analyze data to identify new opportunities and trends that can be utilized to improve scoring models.
• Collaborate with development teams and business analysts to integrate models into business processes.
• Monitor and analyze the performance of models in production, and propose and implement improvements.

Requirements:

• 2 to 4 years of experience in Data Science, with proven experience in building scoring models.
• Deep knowledge and practical experience in machine learning and statistical analysis.
• Experience with the Python programming language and libraries for data processing and machine learning (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch).
• Skills in feature engineering and model selection for solving specific tasks.
• Ability to analyze large volumes of data and turn analytical insights into concrete actions.
• Experience with SQL and databases.
• Ability to work independently and as part of a team, as well as interact with non-technical colleagues.

What we are offering

• Competitive salary negotiable depending on the candidate’s level
• Share options
• We are still a start-up and more benefits are on the way

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 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.

Location: Poland
English: Upper-Intermediate+

Our client is one of the top 5 global management consulting firms, widely recognized as one of the most prestigious in the industry. They serve hundreds of Fortune 500 clients, including major global financial institutions, leading media and tech companies, and federal agencies. Their proven platforms and services are trusted by some of the biggest names worldwide.

🧠 About the Project
You’ll be part of the Strategy & Corporate Finance department — a key unit within the firm that supports clients in tackling strategic and financial challenges. The team combines deep domain expertise with advanced analytical tools to deliver high-impact solutions.

🔧 Tech Stack:
Python, SQL, Pandas, NumPy, TensorFlow, PyTorch, RAG Implementation, Agents, AWS (Azure is a plus)

✅ Requirements:

• 3+ years of experience in data science or a related AI-focused role
• Solid knowledge of AI techniques including machine learning, deep learning, and NLP
• Hands-on experience with Python and key libraries: Pandas, NumPy, scikit-learn, streamlit
• Experience with AI/ML frameworks (TensorFlow, PyTorch)
• SQL proficiency
• Understanding of RAG and agent-based implementations
• Familiarity with Agile methodologies and experience working in Agile teams
• Cloud experience (AWS required, Azure/Google Cloud is a plus)
• Product-oriented mindset with a focus on iterative improvement
• Strong analytical and problem-solving skills
• Ability to clearly communicate complex ideas to both technical and non-technical audiences
• Good software engineering practices: version control, testing, code reviews
• Interest or background in Corporate Finance is a bonus
• Collaborative and proactive attitude, eagerness to stay current with tech trends

💼 Responsibilities:

• Analyze complex datasets to uncover insights using AI techniques
• Build and deploy AI models tailored to client-specific business needs
• Collaborate with consultants and domain experts to shape AI-driven strategies
• Communicate data-driven findings to diverse stakeholders
• Continuously enhance existing models for better accuracy and performance
• Contribute to the AI infrastructure and toolset used by the team
• Stay up to date with the latest trends in AI, ML, and DL

About the Role

We are seeking a talented Data Scientist to join our Product Analytics team. 
 

This role involves leveraging analytical expertise and machine learning skills to develop predictive models and innovative data-driven solutions. Your contributions will have a direct impact on critical areas such as pricing optimization, customer segmentation, and expert matching. If you are passionate about applying AI to solve real-world challenges and driving meaningful business outcomes,

What You’ll Do:

As an individual contributor, provide analytical thought leadership to drive strategy, suggest new analyses, statistical/ML frameworks, testing methods and infrastructure improvements to drive value for the business.
Collaborate with stakeholders to define problem statements, develop new signals using JA data incl. conversational data, develop hypotheses and translate them into analytical solutions and actionable insights presented to wider audiences.
Perform both Descriptive & Prescriptive Analytics including experimentations (AB, MAB), implement and track trends in business metrics that will help drive the business
Own outcomes of deep dive analyses, by covering problem definition, metrics development and implementation, data extraction, visualization and presentation to the stakeholders
Develop machine learning models to solve business problems related to customer segmentation, customer retention, conversation quality, and revenue optimization.
Become a go to AI/ DS expert who directly and indirectly oversees the model development and advanced statistical work of other analysts.
Test, validate, and optimize models to ensure performance and scalability.
 

What We’re Looking For:

Experience: 2-5 years in data science or product analytics roles focused on model development.
Technical Skills:
Proficiency in SQL and Python; experience with BigQuery preferred.
Strong programming abilities, including familiarity with ML libraries such as TensorFlow, PyTorch, or Keras.
Hands-on experience with statistical methods and machine learning techniques, including regression, classification, clustering, time series analysis, and frameworks like Naive Bayes, XGBoost, and neural networks.
Basic knowledge of NLP, computer vision, or reinforcement learning.
Analytical Expertise: Strong foundation in descriptive and inferential statistical analysis, as well as advanced experimental design.
Education: Bachelor’s or Master’s degree in a quantitative field such as Data Science, Computer Science, Mathematics, Econometrics, or Statistics.
 

Preferred Qualifications:

Experience in e-commerce, product, or retail analytics.
Proficiency in NLP and text analytics techniques.
Familiarity with large language models (LLMs) and prompting.
Understanding of CI/CD pipelines for machine learning model deployment.

Perks and Benefits

Time off throughout the year (paid and unpaid)
Professional development support and encouragement
Resources to help improve your overall well-being
Free membership to dive into JA product
Про компанію JustAnswer
JustAnswer is an online marketplace that is revolutionizing professional services by making fast, affordable expert help accessible to people everywhere. Hailed by The Huffington Post as “destined for glory,” our company is made of smart, hard-working people who know how to have fun and get things done. From doctors, lawyers, and vets to auto mechanics and tech support, the 10,000 experts on JustAnswer have helped over eight million people in 196 countries since 2003. Headquartered in the beautiful Presidio of San Francisco, our mission is simple and inspiring: “We help people.” JustAnswer, LLC is backed by investors Crosslink Capital, Glynn Capital, and Charles Schwab.

The family-style company is looking for a talented Data Scientist to join our team. If you are looking for an awesome team, send us your CV!

About the project

As a Data Scientist at UKAD, you will play an essential role in analyzing, modeling, and deriving insights from data that drives platform's core functionalities. You will focus on building predictive models, analyzing trends, and optimizing e-commerce-related processes using structured data.
Your day-to-day work will be together with an international team, working closely with your Team Lead, CTO, Head of Engineering and our full-stack developers. Our department consists of colleagues from various parts of the world and English is the primary language for communication.

Your key responsibilities consist of the following

• Supporting the development and deployment of machine learning and deep learning models, contributing to the process from ideation to implementation under the guidance of the team lead.
• Assisting in advanced time series analyses for e-commerce data, such as sales forecasting and inventory management.
• Writing and optimizing complex SQL queries to extract, manipulate, and analyze data.
• Collaborating with software developers to implement data-driven solutions into the platform.

• Conducting exploratory data analysis and presenting insights to the team lead and relevant stakeholders.

  
  And a few more points to match

• 5+ years of relevant experience
• Spoken English and desire to speak English
• Strong experience with Python and relevant libraries (e.g., Pandas, Numpy, Scikit-learn, TensorFlow…).
• Proficiency in SQL, with the ability to write complex queries involving joins, subqueries, and aggregations.
• A solid understanding of machine learning algorithms (supervised and unsupervised learning) and their practical applications in sales data.
• Practical experience in time series analysis for solving business problems like sales forecasting and inventory management.
• Experience deploying and maintaining machine learning models in a production environment using AWS services.
• Strong understanding of feature engineering techniques.
• Experience with software engineering best practices such as version control and testing.

Good-to-Have Skills

• Familiarity with working on sales and customer data in e-commerce.
• Ability to quickly understand e-commerce-specific datasets and use them effectively.

• Basic knowledge of deep learning, particularly LSTMs (Long Short-Term Memory networks).
  
  Your hands-on skills and data curiosity are what matter most. We're looking for someone who is self-sufficient, eager to learn, and most importantly someone who is passionate about data science within the e-commerce space.

  
  What we offer

• A really promising long-lasting project (you will be proud of yourself)
• Sane and polite, but effective management
• The best corporate culture (according to our teammates’ opinions)
• Competitive salary and other stuff (all the details here)
• Becoming a part of UKAD with unique value and long-term relationships.
  
  Some facts about UKAD to help you make a decision
• During 2022-2025, we only increased cooperation with our foreign partners
• UKAD combines benefits of family-sized companies, like no bureaucracy, easy access to the executives, with sustainable growth and vast opportunities
• Our company is strong enough to be not just a vendor but a tech partner. We can afford to choose customers that respect developers
• UKAD is one of the leading employers in Kharkiv, according to DOU
• We never hire people for projects, but to build the team, so if the project ends, you remain a part of UKAD.
  
  Aren’t we a company you’re looking for?

Now we’re looking for a Data Science Expert who’s not just great with numbers, but hungry to build real things — models, insights, and features — that go live and make a measurable difference.

🔧 What You’ll Be Doing:

• Own the design and development of machine learning models, forecasting systems, and lead scoring algorithms
• Turn messy, high-volume data into clear business signals and predictive insights
• Work cross-functionally with product, engineering, and growth to embed models into the product and decision-making
• Research and prototype data-driven features like NLP, recommender systems, churn prediction, etc.
• Shape the future of our data science strategy and help define scalable best practices
   

✅ What Makes You a Strong Fit:

• 5+ years of experience in data science / ML / analytics roles
• Expert in Python, Pandas, scikit-learn, and SQL
• Experience building and deploying ML models into production environments
• Strong product mindset — you're not just building models, you're solving real business problems
• Excellent communicator — able to collaborate across technical and non-technical teams
• English level: С1 (you can comfortably read documentation, join team calls, and communicate in writing)

Bonus if you have:
 

• Experience working in a startup or product-led tech company
• Background in real estate, SaaS, or growth-focused environments

• Exposure to cloud platforms (GCP, AWS), ML Ops tools, or business intelligence systems

   

  🚀 Why You’ll Love It Here:

   

• You’ll work at the core of a product-led, AI-powered startup where data drives every decision
• Your work will ship — fast — and impact thousands of users
• High autonomy, low bureaucracy: we trust you to own your domain
• Remote-first culture with flexible hours and async-friendly communication
• Salary (fixed base) ABOVE the market average.
• A smart, passionate team that moves fast, supports each other, and builds cool stuff
•  15 paid vacation days + 5 paid sick days annually.
•  Paid access to courses, books, and growth resources.
•  Real decision-making power and ownership of your results.
  
   

Job Description

• Strong knowledge and proven experience with Machine Learning, Computer Vision and Deep Learning;
• At least 4 years of commercial experience in a related field;
• Self-manageable person, able to work with minimum supervision;
• Technically strong with Python, knowledge of any other programming language will be a plus;
• Proficiency with numpy, scipy, opencv, tensorflow;
• Proven ability design and implement complex algorithms, to work creatively and analytically in a problem-solving environment;
• Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or a related field;
• Strong communication and presentation skills for effective daily communication.

Job Responsibilities

GlobalLogic team has been involved for many years into development, deployment and support of many different areas of the solution. We are now looking for a talented Computer Vision engineer who will join our existing team and help us to grow existing capabilities of the product and add support for new sport types.

Part responsibilities will include

• Active participation in business promotion and grow by proposing new and/or non-standard ideas;
• Apply Machine Learning and Computer Vision technology to solve real problems for the market available product;
• Work on a new algorithm of determining players performance, score identification and others;
• Demo your work to team members and customer.

Department/Project Description

A product is an affordable alternative to traditional broadcast video capture system. We provide a full broadcasting solution for amateurs, broadcasters, sports leagues, clubs, coaches and consumers, offering unique, interactive and immersive viewing experiences.

The AI-based automated production solution provides the sports market with easy and affordable ways to produce and distribute high-quality game, player videos and performance analysis. The system consists of a unique panoramic camera head and standard computers running proprietary algorithms for Panoramic and HD video and camera control.
 
Giving an editing platform for multiple types of athletic events we establish the first end-to-end automated video and data solution in the sports industry. The product revolutionizes sports video with an automated online video editing system that enables coaches to simply and easily access game video break downs, saving them time and hassle. Our range of products include game analysis, game exchange, and video replay. We support all major team sports and caters to every level from youth, high school, college, through professional.

We're building the smartest platform in Web3 marketing - and we’re looking for a highly skilled Data Scientist to join us.

We are seeking a highly skilled Data Scientist for Marketing Campaign Analysis.

The ideal candidate will be responsible for aggregating data from text, sound, and video sources from platforms like Twitter/X, TikTok, YouTube and similar sites.

This involves utilizing Speech-to-Text (STT) and video transcription tools to convert audio and video data into text format, applying Natural Language Processing (NLP) techniques to preprocess and clean the aggregated data, and employing Deep Learning (DL) models for feature extraction and data enhancement.

The candidate should develop and fine-tune Encoder-Decoder Large Language Models (LLMs) for stance detection tasks using datasets like SemEval and RumourEval. Additionally, they will implement Sentiment Analysis using Bidirectional Encoder Representations from Transformers (BERT) or similar models to assess public sentiment towards brands. Named Entity Recognition (NER) will be used to track specific entities and influencers.

The role also involves using NER to identify and categorize entities such as brands, influencers, and products across various social media platforms. The candidate will apply Influencer Analysis techniques to evaluate the impact and relevance of influencers using NLP and Machine Learning (ML). Audience Segmentation will be conducted using clustering algorithms like K-means or DBSCAN to align influencer audiences with target markets.

Furthermore, the candidate will identify and integrate external data sources (e.g., APIs, web scraping) to enhance campaign and influencer assessments. They will utilize web scraping techniques to collect additional data from relevant websites and forums.

In terms of predictive modeling, the candidate will develop Predictive Models using Regression, Time Series Analysis, and Machine Learning techniques (e.g., Random Forest, SVM) to forecast campaign outcomes. They will employ ARIMA, Prophet, or LSTM models for time series forecasting of campaign metrics and use tools like Google Analytics or Adobe Analytics for campaign performance evaluation.

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 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe

About the client:
Our client is the go-to enterprise decision intelligence platform to drive better, faster decision-making across your organization, turning decision-making into a competitive advantage.

The company's platform helps teams scale great decisions by streamlining decision processes, automating recommendations with AI, and improving collaboration. The company is the only system of record to track, learn from and improve on your most critical commercial decisions.

About the role:
We are seeking an experienced and innovative Data Scientist to join the team, with a primary focus on automating decision-making processes in a wide range of areas of business.

The candidate will be responsible for the development of backend modules for Decision Intelligence assistants and AI agenetic systems. You will use advanced analytics and machine learning techniques, predictive analytics and big data tools to develop and implement solutions for automated analysis of structured and unstructured data to generate natural language insights, recommendations and decision recommendations.

Requirements:
- 3+ years of relevant experience as a Data Scientist.
- Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Strong proficiency in Python and familiarity with data analysis and ML libraries (such as Pandas, NumPy, Scikit-learn, SciPy, Stats models, TensorFlow, PyTorch etc.).
- Familiarity with SQL and NoSQL databases, GitHub tools and A/B testing frameworks is a big plus.
- Good understanding of time series analysis and forecasting methods.
- Strong problem-solving skills and a strategic mindset.
- Excellent communication skills, with the ability to explain complex concepts to diverse audiences.

Would be a plus:
- Experience using BI tools (Tableau, Power BI etc.) and Marketing mix modeling skills (especially in CPG).
- High energy, a passion for learning, and a genuine interest in revolutionizing enterprise decision-making through AI.

Responsibilities:
- Work with a team of AI experts, data scientists, engineering team, business analysts and market researchers to create solutions helping companies make strategic business decisions through providing insights and recommendations.
- Identify valuable data sources and automate ETL processes of structured and unstructured data.
- Analyze large and complex datasets from various sources to discover trends, patterns, anomalies and uncover actionable insights.
- Develop and deploy machine learning models and predictive algorithms for automated data analysis, generation of recommendations, and decisions.
- Design and implement systems for real-time decision-making in areas such as current state analysis, business recommendations, and process optimization.
- Continuously evaluate and fine-tune algorithms to improve accuracy, scalability, and performance.
- Collaborate with decision success, engineering, and product development teams.
- Present complex analytics and outcomes to non-technical stakeholders in a clear and actionable manner.

The company offers:
- Competitive salary and work equipment allowances.
- Flexible work schedule and paid personal time off.
- Collaborative team culture with cross-functional exposure to engineers, analysts, and business stakeholders.
- Opportunities for professional growth and learning.

Welcome to King Group - a place where the best people from the IT and gambling industries meet to do amazing things together. We operate numerous projects in the iGaming sector in the markets of Ukraine, Europe and the USA, invest in venture startups, promising ideas and people.
 

One of our companies is a game studio that deals with the full cycle of iGaming product development. From idea to release, we combine creativity, modern technologies and deep analytics to create a unique gaming experience. Our mission is to excite, inspire and shape the future of the industry.

Our company is looking for a math expert who has a drive and passion (perhaps some experience) for games.

Key skills (it's not necessary to have all key skills, but more is better than less):
 

• Higher education in mathematics or related fields (related to research, analytics or data processing);
• Have a strong math background (especially probability theory, statistics, combinatorics);
• Advanced knowledge of MS Excel (statistical, mathematical functions);
• Be proficient at one (at least) programming language (Python is preferable);
• Knowledge of one of the CAS (Mathematica, Mathcad, Maxima);
• Have a strong math background (especially probability theory, statistics, combinatorics);
• Have previous experience in gaming industry or (and) have experience in playing slots (or any other probabilistic games (poker, blackjack, etc));
• Understand the time and memory complexity of your code;
• Be keen on details (Yes, it's really important at this position);
• Understanding OOP Concepts;
• Experience in developing mathematical models.
   

Nice to have:

• Experience in using git;
• Experience in using JIRA.
   

Responsibilities: 

• Prepare math for slot games;
• Discuss with business/ propose new game ideas/new feature ides;
• Implement game logic of new features, games;
• Gather games' statistics by precise calculations / running simulations of the games;
• Make games attractive for players from the math side.
   

Why we:

• Social Package;
• Medical care;
• Sick Days;
• Professional development support;
• Family-like atmosphere. You can check it out yourself ;)
• Great career prospects.
  
  Do you want to grow with us? Do you have the desire to take an active part in creating a product? Send your resume and let's get to know each other ;)

Requirements: 

• Experience with Python and R;
• Experience with SQL, NoSQL;

• Experience with Docker, Kubernetes;

• Familiarity with cloud platforms;

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

We’re looking for a proactive Data Scientist to join our growing team and help us redefine the future of eSports betting! You will develop and implement advanced models for esports betting, focusing on games such as Dota 2, League of Legends, etc. Oversee the entire model development lifecycle, including design, testing, and performance optimization.

Are you ready to apply your expertise in a fast-paced, innovative environment? If you’re passionate about quality and love the idea of working on a cutting-edge product, keep on reading!

Who are we?
 

Since 2017, our team of tech enthusiasts, eSports players, and bettors has been on a mission to revolutionize the world of eSports betting. This passion has driven us to create DATA.BET, the fastest-growing eSports data product in the market.

With the widest event coverage and a turnkey solution for a full betting product, we aim to become the TOP provider in the industry.
 

What you’ll be working on:
 

• Develop and implement betting models using Python and Golang.
• Design and optimize mathematical models, including statistical models, classical machine learning techniques, and neural networks.
• Analyze the performance and impact of models, ensuring operational efficiency.
• Prototype and assess models to evaluate their effectiveness and user acceptance.
• Integrate models with existing systems and optimize performance.
• Collaborate with backend and frontend teams for seamless implementation and decision-making.
• Conduct in-depth statistical analysis and apply machine learning methods to enhance forecasting accuracy.
   

About you:

We’re looking for someone who thrives on precision and collaboration.

Must-have skills and experience:
 

• 3+ years of commercial experience with Python.
• Strong knowledge of statistics and practical experience with ML techniques.
• Proven expertise in mathematical modeling, including statistical methods, classical ML approaches, and neural networks.
• Strong data processing skills (validation, parsing, visualization).
• Understanding business logic of decisions and analytical thinking ability.
• Excellent communication skills and the ability to work in a team.
• Ability to assess the business value of tasks.
• Upper-intermediate English skills.
   

Nice to have:
 

• Higher education in computer science, mathematics, statistics, or a related discipline is a plus.
• Experience in the betting industry or related fields is an advantage.
   

Why work with us?
 

We offer not just a job but an opportunity to be part of an innovative, and ambitious team that cultivates a positively charged atmosphere and an environment that fosters both professional and individual growth.

Your well-being and a supportive work environment are our biggest priority:
 

• Flexible schedule and workplace options: enjoy the flexibility to work where and when you’re most productive.
• 20 Paid+15 unpaid vacations: take time off to recharge with both paid and unpaid vacation options.
• Day off for your birthday: celebrate your special day with a well-deserved day off.
• Health insurance: take care of yourself and your well-being with comprehensive health coverage (in Ukraine only).
• 22 Sick leaves: take enough time to recover with a sufficient sick leave allowance (12 unconfirmed including sick leaves for mental health + 10 confirmed)
• Gifts and bonuses (wedding, child birth bonus, kindergarten allowance (in Ukraine only): get special perks to support you in various life situations and important moments.

Description

As a Computer Vision Engineer, you will join a mature and senior team dedicated to developing cutting-edge computer vision solutions for medical applications. Our projects range from advanced image processing to real-time vision systems, contributing to fields like medical devices, robotics, autonomous vehicles and others. We emphasize technical excellence and offer a stimulating environment that encourages innovation and professional growth.

Requirements

3+ years of experience in computer vision or related fields.
Strong knowledge of machine learning/deep learning.
Hands-on experience with object detectors, instance segmentation, keypoint/pose detection, RNNs/Transformers (computer vision in time domain), tracking algorithms.
Proficiency in programming languages such as Python and C++.
Extensive experience with computer vision libraries and frameworks like PyTorch, and OpenCV.
Familiarity with image processing techniques and annotation tools.
Experience with hardware integration for vision-based systems.
Good understanding of best practices of software development (code reviews, TDD, Git, etc.)
Advanced English (written and verbal) for daily communication with the customer.
Efficiency in remote development on Linux (VMs, on-premise machines).
Would be a Plus:
Understanding of real-time processing and optimization.
Experience with edge AI deployment.
Experience with optimization and inference libraries (ONNX, TensorRT, OpenVINO, etc.).
QNX or Linux development.
Experience in medical computer vision.
Experience in managing huge volumes of visual data.
Ability to leverage advanced nVidia ADA GPU features to speedup training and inference.
Experience with CPU and GPU profiling (nVidia nsight, cProfile)

Job responsibilities

Contribute to the design, development, code review, and testing of computer vision algorithms and systems.
Develop new features and improve existing functionality in vision-based projects.
Work on the integration of computer vision solutions with third-party tools and hardware.
Collaborate with cross-functional teams to deliver high-quality, compliant products.
Stay updated with the latest advancements in computer vision and machine learning technologies.