Jobs Data Scientist

We are seeking an experienced Mid/Mid+ Data Scientist with expertise in Large Language Models (LLMs) such as GPT, Claude, and related technologies. The ideal candidate will have a strong background in natural language processing (NLP), machine learning, and deep learning models. They will play a critical role in developing and deploying cutting-edge LLM applications to drive innovation across our product lines.
 

Responsibilities:

• Design, develop and optimize Large Language Models for various NLP tasks such as text generation, summarization, translation, and question-answering
• Conduct research and experiments to push the boundaries of LLM capabilities and performance
• Collaborate with cross-functional teams (engineering, product, research) to integrate LLMs into product offerings
• Develop tools, pipelines and infrastructure to streamline LLM training, deployment and monitoring
• Analyze and interpret model outputs, investigate errors/anomalies, and implement strategies to improve accuracy
• Stay current with the latest advancements in LLMs, NLP and machine learning research
• Communicate complex technical concepts to both technical and non-technical stakeholders.
   

Requirements:

• MS or PhD degree in Computer Science, Data Science, AI, or a related quantitative field
• 2-3+ years of hands-on experience developing and working with deep learning models, especially in NLP/LLMs
• Expert knowledge of Python, PyTorch, TensorFlow, and common deep learning libraries
• Strong understanding of language models, attention mechanisms, transformers, sequence-to-sequence modeling
• Experience training and fine-tuning large language models
• Experience with classical ML models - XGBoost, LightGBM
• Proficiency in model deployment, optimization, scaling and serving
• Excellent problem-solving, analytical and quantitative abilities
• Strong communication skills to present technical information clearly
• Ability to work collaboratively in a team environment
• Fluency in Ukrainian and English
   

Preferred:

• Research experience in LLMs, NLP, machine learning
• Experience working with multi-modal data (text, image, audio)
• Knowledge of cloud platforms like AWS, GCP for model training
• Understanding of MLOps and production ML workflows
• Background in information retrieval, knowledge graphs, reasoning

Experience in fraud detection (highly preferred) + ability to independently scope and lead ML project end-to-end

Requirements

Position name: Senior Data Scientist — Anti-Fraud System

Level: Senior / Middle+

Hard skills requirements (including years):

• Strong experience in Data Science / Machine Learning
• Experience in fraud detection systems — highly preferred
• Ability to transition rule-based systems to ML/predictive models
• Experience with near real-time data processing
• Strong knowledge of statistical modeling and ML algorithms
• Python (preferred stack, final decision left to the DS)
• SQL and database proficiency
• Ability to independently scope a data environment and define technical approach

Soft skills requirements:

• Ability to independently lead a project end-to-end
• Strong communication skills (stakeholder alignment required)
• Self-driven, proactive, consultative mindset

Office/Remote: Remote

Project tasks:

• Scope existing rule-based fraud detection system (16 static flag types) and define technical approach
• Propose and implement ML stack and architecture
• Evolve system into dynamic, predictive, learning-based fraud detection model
• Work toward near real-time fraud processing as the project scales
• Work as part of 2-person AI team with full ownership of the anti-fraud project
• Facilitate stakeholder alignment

English level: Upper-Intermediate

As a Machine Learning Engineer, you'll work as part of the Wix CTO Office team, researching problems that can give Wix’s products a competitive edge across various challenges. A key focus of the team is on Agents over LLMs, exploring new techniques for building agents and developing innovative products that leverage them.  

In your day-to-day, you will:  

• Build POCs for research projects led by the team  
• Evaluate results and provide actionable insights  
• Collaborate with different teams at Wix to advance their agent implementations  

• Build shared infrastructure for agents  

   

Requirements

• 5+ years building and maintaining production-grade systems at scale
• Proficient in TypeScript; Java and/or Python is a significant advantage
• Hands-on experience building GenAI systems with LLMs and agents
• Deep expertise in at least 2 of: Agentic Orchestration & Tool-Calling, Advanced RAG, Automated Evaluation & Testing
• BSc in Computer Science or related field; MSc preferred
• Excellent communication skills in English; collaborative and comfortable with ambitious, high-risk problems

About the Team  

We are Wix's Data Science CTO Office team, a small group of researchers and engineers. We collaborate with various groups at Wix and the CEO on innovative research projects. Some projects aim to enhance Wix products with new features, while others focus on strategic research areas that can provide Wix with a competitive advantage.

Meet the YozmaTech

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.

We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client is looking for a Data Science / AI Engineer to help build an autonomous platform that turns product requirements into production-grade code.

The product leverages AI to automate development workflows and dramatically increase R&D productivity. Already in production with active customers, the team is now scaling both the technology and impact.

Key Requirements:
🔹 7+ Years Experience: Deep professional background in AI/Data Science;
🔹 Agent Expert: Proven experience building high-quality agentic systems—specifically dealing with planning, tool-calling, and self-correction loops;
🔹 Sophisticated Retrieval: Expertise in building retrieval systems that can deal with real, complex cases (not just basic vector search);
🔹 Technical Excellence: Expert-level Python. You must be able to contribute to a production-grade backend and bridge the gap between a model's output and a functional tool;
🔹 AI Native: Power user of Claude and Cursor;
🔹 Advantage: Hands-on experience with LLM Evaluation suites and moving agentic systems from "cool demo" to "production reliable.";
🔹 Production Focus: Experience delivering solutions that are robust, reliable, and maintainable in real-world, customer-facing environments;
🔹 Database Skills: Experience with indexing, vector databases, and data retrieval at scale;

What you will do:
🔹 Planning & Reasoning: Design and optimize multi-step planning systems that allow agents to decompose high-level requirements into executable, low-error technical strategies;
🔹 Agentic Retrieval: Architect retrieval systems (GraphRAG, hybrid search) that can handle real-world codebase complexity, ensuring agents retrieve the right context for the right task;
🔹 Evaluation & Evals: Build robust, automated evaluation frameworks to measure agent success and reliability. You'll define what "high-quality execution" looks like in a machine-readable way;
🔹 Performance Optimization: Use few-shot learning, prompt engineering, and targeted fine-tuning to make agentic workflows deterministic and reliable in production;
🔹 From Demo to Production: Move beyond "agent-in-a-box" prototypes. You are responsible for the stability and quality of agents performing end-to-end SDLC tasks;
🔹 Customer Impact: Work closely with product and engineering teams to understand customer needs, solve real-world problems, and deliver solutions that move the needle for customers;
🔹 End-to-End Ownership: Take responsibility for projects from research and prototyping through to production deployment and ongoing optimization;
🔹 Product Mindset: Bring a product-oriented approach, proposing improvements and new features that align with business goals and customer requirements;
🔹 Collaboration: Communicate effectively with cross-functional teams and, when needed, with customers to gather feedback and ensure solutions meet real-world needs;
🔹 Proactive Problem Solving: Identify and address bottlenecks or new opportunities in agentic workflows and retrieval systems;

Interview stages:
🔹 HR Interview;
🔹 Technical Discussion ;
🔹 Practical Session ;
🔹 Team Fit Conversation ;
🔹 Final Review;
🔹 Reference Check;
🔹 Offer;

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products – and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.
From day one, you’ll get:
🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer.
You’ll always know what project you’re joining – and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

Are you a Data Scientist with a love of LLMs, generative AI?

We are looking for a passionate Data Scientist to implement AI solutions aimed at achieving business goals.

This role offers the opportunity to work on cutting-edge AI adoption projects that helps to improve current business processes.

Skills requirements:
• Strong Python Experience (1 year +);
• Experience with LLM , Diffusion models (1 year +);
• Knowledge of Prompt engineering;
• Experience with Gen AI-related technologies such as LangChain and RAG;
• Experience with Neural Networks (Optional) ;
• Experience with NLP , Predictive analytics and Machine learning;
• Experience with Pandas;
• Experience with SQL, including experience with large datasets;
• Strong experience in statistics;

Key responsibilities:
• Develop AI agents that utilize LLM, RAG and langchain approach;
• Implement LLM and Diffusion models to boost business productivity;
• Utilize LLM (LLM Vision) to improve object detection, text classification and extraction;
• Create forecasting, recommendation, and classification models;
• Transform business challenges to AI applications;

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary nominated in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

Domain: iGaming / Gambling
Format: Product company
Experience: 5+ years

About the Company

We are an international product company operating in the gambling sector. Our platform delivers real-time personalization for casino and sportsbook products using advanced machine learning. The solution processes live behavioral, transactional, and contextual data to improve player engagement, retention, and overall performance for operators worldwide.

Our focus is on building production-grade ML systems that directly influence what users see in real time — from game recommendations to personalized content and promotions.

Role Overview

We are looking for a Senior Data Scientist to join a product-focused team working on real-time personalization and recommendation systems for iGaming platforms.

This is a hands-on role that combines modeling, experimentation, and close collaboration with engineering and product teams in a high-load, real-time production environment.

Main Responsibilities

• Develop ML-driven features for casino products using supervised learning (regression, ranking, classification)
• Maintain and improve existing recommendation systems in production
• Enhance models using gradient boosting and other supervised approaches
• Perform data cleaning, preprocessing, and feature engineering
• Design and maintain pre- and post-processing workflows
• Optimize training and inference pipelines for performance and reliability
• Integrate ML models into Airflow pipelines in a multi-tenant environment
• Adapt and configure the solution for different clients (tenants)
• Collaborate closely with product and engineering teams on experimentation and feature delivery

As Part of the Team You Will

• Work cross-functionally with data scientists, engineers, product owners, designers, and researchers
• Analyze large-scale datasets to extract insights for product and business decisions
• Propose, implement, and evaluate ML approaches to solve real business problems
• Support and evolve a recommendation solution used across multiple tenants
• Influence product strategy through research, experimentation, and data-driven insights into user behavior

Experience & Education

• 5+ years of professional experience in data science
• Degree in a quantitative field (Mathematics, Statistics, Computer Science, or similar)

Core Skills

• Strong proficiency in Python and SQL
• Hands-on experience with data processing tools (Pandas, Polars)
• Solid engineering skills for building and maintaining scalable ML systems
• Experience implementing observability in ML pipelines (metrics, logging, alerting)
• Knowledge of Docker and Kubernetes
• Strong analytical mindset with the ability to solve loosely defined problems
• Hands-on experience with supervised ML techniques, including:
  • Regression and ranking models (XGBoost, LightGBM, CatBoost, neural networks)
  • Feature engineering and model evaluation (AUC, NDCG, MSE, uplift metrics)
  • Personalization or recommendation systems
• Proven experience deploying ML models to production (near real-time or batch)
• Solid understanding of statistical methods (A/B testing, significance testing)

Nice to Have

• Production experience with large-scale recommendation systems
• Experience with Airflow, Valkey/Redis, FastAPI in production
• Familiarity with contextual bandits or reinforcement learning
• Experience with AutoML tools

We’re looking for a Senior Game Mathematician — someone who sees patterns where others see chaos, and who understands that behind every “big win” there’s elegant math. You’ll shape the core of our games: design math models, define volatility and player experience, and turn ideas into numbers that actually feel right.

We’re a team of people who left safe jobs to build something better. No bureaucracy, no pointless meetings — just sharp minds building games that stand out.

🎲 What you’ll do

• Design and develop math models for slot games — from raw concept to release;
• Prototype and simulate gameplay mechanics to test balance, volatility, hit rates, and potential;
• Reverse-engineer competitors’ math to understand and improve on the best mechanics in the market;
• Collaborate with producers and developers to bring your math to life — ensuring technical and creative integrity;
• Run simulations, build reports, and validate results in Excel or via your own scripts/tools;
• Prepare clear documentation for internal reviews, certification, and release;
• Analyze performance data of live games, providing actionable insights for tweaks and next iterations.

🧠 What you bring

• 3+ years of experience in slot game math design (or similar gambling / probability-based products);
• Advanced Excel and solid programming/scripting knowledge (Python, R, or similar);
• Deep understanding of RTP, volatility, hit frequency, max exposure, feature math, and player behavior;
• Obsessive attention to detail — and ability to explain complex systems clearly;
• Collaborative mindset: you enjoy working with creative and technical people to make something that just feels good;
• Fluent English.

💎 Nice to have

• Experience with internal math simulators or your own simulation tools;
• Familiarity with regulatory / certification requirements for game math;
• Curiosity for game design and player psychology — not just numbers.

🎁 Benefits

• 21 vacation days + 5 extra day-offs annually;
• 12 paid sick days;
• Fully remote format — work from anywhere you feel productive;
• Flexible schedule: start your day anytime between 08:00–12:00 CET;
• Fixed budget for health insurance and gym/fitness;
• Provided all required work equipment;
• Zero bureaucracy and direct communication with founders and C-level;
• Minimal meetings, async-friendly workflow;
• Startup energy: fast motion, creativity, and tight-knit communication;
• Business trips and team meetups several times per year;
• Multiple salary payout options (flexible formats);
• …And many more perks unlocked after we hit break-even.

We are seeking an experienced Data Scientist with a passion for large language models (LLMs) and cutting-edge AI research. In this role, you will design and prototype data preparation pipelines, collaborating closely with data engineers to transform your prototypes into scalable production pipelines, design and implement a state-of-the-art evaluation and benchmarking framework to measure and guide model quality, and do end-to-end LLMs training. You will work alongside top AI researchers and engineers, ensuring our models are not only powerful but also aligned with user needs, cultural context, and ethical standards.

What you will do

• Curation of datasets for pre-training, supervised fine-tuning, and alignment;
• Research and develop best practices and novel techniques in LLM training and evaluation pipelines;
• Collaborate closely with data engineers, annotators, linguists, and domain experts to scale data processes, define evaluation tasks and collect high-quality feedback.

Qualifications and experience needed
Education & Experience:

• 3+ years of experience in Data Science or Machine Learning, preferably with a focus on NLP;
• An advanced degree (Master’s or PhD) in Computer Science, Computational Linguistics, Machine Learning, or a related field is highly preferred.

GenAI & NLP Expertise:

• Practical experience with fine-tuning LLMs / VLMs models;
• Hands-on experience with modern NLP approaches, including embedding models, semantic search, text classification, sequence tagging (NER), transformers/LLMs, RAGs.

ML & Programming Skills:

• Strong experience with deep learning frameworks such as PyTorch or JAX for building models;
• Ability to write efficient, clean code and debug complex model issues.

A plus would be
Advanced NLP/ML Techniques:

• Applied experience using Reinforcement Learning in NLP / LLM settings;
• Prior work on LLM safety, fairness, and bias mitigation;
• Experience generating and curating synthetic datasets for Supervised Fine-Tuning (SFT), including quality control and scaling considerations.

Research & Community:

• Publications in NLP/ML conferences or contributions to open-source NLP projects;
• Active participation in the AI community or demonstrated continuous learning (e.g., Kaggle competitions, research collaborations) indicates a passion for staying at the forefront of the field.

MLOps & Infrastructure:

• Hands-on experience with containerization (Docker) and orchestration (Kubernetes) for ML, as well as ML workflow tools (MLflow, Airflow);
• Experience in working alongside MLOps engineers to streamline the deployment and monitoring of NLP models;
• Experience with cloud platforms (AWS, GCP, or Azure) and big data technologies (Spark, Hadoop, Ray, Dask) for scaling data processing or model training is a plus.

Problem-Solving:

• Innovative mindset with the ability to approach open-ended AI problems creatively;
• Comfort in a fast-paced R&D environment where you can adapt to new challenges, propose solutions, and drive them to implementation

What we offer

• Office or remote — it’s up to you. You can work from anywhere, and we will arrange your workplace;
• Remote onboarding;
• Performance bonuses;
• We train employees with the opportunity to learn through the company’s library, internal resources, and programs from partners;
• Health and life insurance;
• Wellbeing program and corporate psychologist;
• Reimbursement of expenses for Kyivstar mobile communication.

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Product:

We deliver an AI-driven video platform that automatically identifies and extracts the most engaging segments from live and on-demand video feeds, generates dynamic teasers and summaries, indexes content for rapid retrieval, and transforms formats (e.g., horizontal to vertical). Our solution serves global media, sports, news, and gaming organizations, processing petabytes of visual data and supporting millions of end users.

Engineers face challenges in computer vision research, big data analytics, and production-grade cloud infrastructure to enable near-real-time processing, seamless scaling, and high-throughput delivery.

About the Role:

As a Senior Algorithms Engineer, you will bridge cutting-edge research and production systems, owning design, implementation, and scaling of advanced computer vision and AI models.

You will invent new approaches using deep learning, large language models (LLMs), and vision-language models (VLMs) and lead end-to-end engineering from prototype to cloud deployment.

Key Responsibilities:

• Design, prototype, and validate computer vision and ML algorithms using PyTorch, TensorFlow, OpenCV and LLM/VLM APIs.
• Analyze multi-terabyte video datasets to identify patterns, perform behavioral analytics, and build predictive models.
• Develop and maintain an Algo-Ops framework for seamless integration, monitoring, debugging, and scaling of algorithms in cloud environments.
• Work closely with DevOps to deploy and scale models in production (no need to own infrastructure).
• Evaluate and integrate emerging video-language and generative AI models (e.g., Gemini, open-source VLMs) into processing pipelines.
• Collaborate with cross-functional teams to translate research prototypes into production-grade features and participate in on-call support when needed.
• Continuously research and adopt new AI tools (Claude Code, Cursor, etc.) to enhance workflows and iterate on model performance.

Required Competence and Skills:

• At least 8 years of professional software development experience. 
• 4+ years of Python experience.
• Expert-level hands-on proficiency with PyTorch and TensorFlow.
• Experience with video processing and computer vision libraries.
• Solid understanding of cloud infrastructure and DevOps basics (AWS, GCP, Bash, Nomad).
• Hands-on experience using AI tools (LLMs/VLMs, agentic workflows).
• Proven ability to analyze large-scale datasets and implement predictive behavioral models.
• Self-starter with strong autonomy to research, lead, and execute complex technical projects end-to-end.
• M.Sc. or higher in Computer Science, Electrical Engineering or equivalent.

Nice to Have:

• Experience integrating models like GPT, Gemini, or open-source VLMs
• Proficiency with big data tools (Spark, Iceberg, PostgreSQL, Elasticsearch, Redis).
• Working knowledge of containerization and orchestration platforms (Docker, Kubernetes, Nomad).

Why Us:

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

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

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

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

Dataforest is looking for a Data Scientist to join an interesting software development project in the field of Cybersecurity. Our client's platform offers Identity Insights drives real-time, multi-contextual digital forensics to protect new account opening workflows and expose fake accounts already in a customer database.

    Required Qualifications

• 2+ years of experience working with large-scale, complex datasets.
• Experience with imbalanced data.
• High proficiency in Python for data analysis, feature engineering and modeling.
• Expertise in exploratory data analysis and preparing clean, structured datasets for model development.
• Hands-on experience with AI/ML techniques:
• Supervised (eg. gradient boosting, decision trees, etc.)
• Unsupervised (eg. anomaly detection, clustering, etc.)
• Familiarity with basic statistical concepts and model evaluation metrics (eg. precision, recall, ROC-AUC).
• Upper-intermediate (B2) or higher level of English.
  
  Nice to Have
• Hands-on experience in the fraud/risk domain.
• Experience with Databricks (including Pyspark) for data processing, experimentation, and model development.
• Experience in MLflow library for experiment tracking and model lifecycle management.
• Experience working with diverse data sources (e.g., behavioral, device, or transactional data) and deriving meaningful features.
• Experience assessing data quality and validating new data sources in production environments.

     Key Responsibilities

• Analyze large-scale transaction datasets to identify fraud patterns and risk signals.
• Develop and validate ML models for risk scoring and fraud detection/classification.
• Support deployment of models into production environments by collaborating with the development team.
• Monitor model performance, conduct regular evaluations, analyze the results.
• Perform feature engineering to continuously improve model performance.
• Collaborate with the client on R&D efforts, including exploratory data analysis, feature development, and testing new approaches.

     We offer

• Great networking opportunities with international clients, challenging tasks;
• Building interesting projects from scratch using new technologies;
• Personal and professional development opportunities;
• Competitive salary fixed in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Team building activities and corporate events.

About Us:

Evowill is looking for a Junior Data Scientist who is passionate about data analysis, machine learning, and extracting insights from data, and eager to grow in a supportive and dynamic environment. We offer a clear path: starting with a hands-on internship and transitioning into a commercial project role — 100% of our juniors join real projects.

Requirements:

• Knowledge of Python
• SQL (MySQL / PostgreSQL)
• Basic understanding of Machine Learning (scikit-learn)
• Basic data analysis skills (Pandas, NumPy)
• Solid statistics foundations
• Git, GitHub/GitLab
• English: Intermediate
• Pet projects (data analysis / ML) 
• Fast learner, organized, responsible
  
   

Would be a plus:

• Quantitative Science (Math, physics, statistics) or Engineering with ML or modeling majors (3rd year or higher)
• Experience with statistical or numerical modeling or having participated in data related research teams
  
   

Internship Stage (2 months):

• Full-time, practical learning
• Pet projects, technical interview preparations, and soft skills training
• English Speaking Club
• Senior Developers mentors from Ukraine and Colombia
• Technologies: Core Data Analysis and Modeling, Python libraries, as well as learning to apply modern ML techniques to real-world data.

Project Stage:

• Join commercial projects as a Data Scientist
• Salary from $1000 with regular reviews
• Ongoing mentorship and technical support
• Optional English club and extra tech learning

Progresstech Ukraine is seeking for MATLAB Simulink Engineer. The primary responsibility in this role will be addressing development of airplane systems as well as creative generation of computer models of airplane systems for future airplane design, test, and analysis endeavors.

There are some general directions of our project to support the latest functional systems for Boeing aircrafts:

• Develop, maintain, update, and integrate code using MATLAB Simulink and/or C/C++ representing the mathematical and physics behavior of airplane engineering systems
• Integrate complex software components into fully functional systems
• Develop software verification plans, test procedures and test environments, execute the test procedures and documents test results to ensure software system requirements are met
• Analysis of flight data, data verifying

Basic Qualification:

• At least a bachelor's degree in engineering, computer science, mathematics, physics, etc.
• MATLAB Simulink experience
• Project documentation skills

Preferred Qualification:

• Ability to understand complex airplane systems design, functionality, and architecture
• Non-Software Engineer with the ability to understand/use/learn software languages and development tools
• C/C++ programming experience
• Knowledge of ARINC coding rules
• Technical writing

Are you passionate about turning complex data into actionable insights? Join us as a Strong Middle/Senior Data Scientist and help shape cutting-edge AdTech solutions that reach millions of users worldwide. This is a remote role with flexibility to work from Ukraine, Europe, or LATAM.

We at Sigma Software bring together talented professionals to deliver high-load, data-driven platforms for global clients. Here, your expertise will be valued, your voice heard, and your career empowered. Why join us? You’ll work with modern technologies, collaborate with top-tier teams, and contribute to projects that make a real impact in the marketing and advertising industry.

Customer

Our customer is an international technology company specializing in high-load platforms for data processing and analytics. Their core product enables businesses to manage massive datasets, create predictive models, and extract actionable insights. Operating globally, they serve clients primarily in marketing and advertising, leveraging microservices architecture and cloud-based solutions.

Project

The project focuses on designing and implementing advanced machine learning models, building scalable data pipelines, and delivering analytical solutions for high-volume datasets. The goal is to improve product performance, enable better targeting and personalization in AdTech, and ensure model accuracy and reliability.

Responsibilities

• Design, develop, and deploy machine learning models to solve complex business problems in the AdTech domain
• Analyze large datasets to generate actionable insights and improve product performance
• Build and maintain scalable data pipelines using big data tools and frameworks
• Perform data preprocessing, cleaning, feature engineering, and model evaluation
• Collaborate with cross-functional teams including engineers, analysts, and product managers
• Ensure model accuracy, reliability, and scalability through rigorous testing and validation
• Stay updated on emerging data science techniques, tools, and best practices

• Contribute to team discussions, process improvements, and knowledge sharing

   

Requirements

• 4+ years of experience in data science projects applying machine learning, statistical modeling, and data mining techniques
• Hands-on experience working with Natural Language Processing (NLP) and Large Language Models (LLMs), including applying them to real-world business problems
• Strong understanding of statistics and ability to apply statistical methods to analyze data and validate model performance
• Proficiency in Python or R for data analysis and model development
• Strong SQL skills and experience working with big data technologies such as Hive and Spark
• Hands-on experience with PySpark or RSpark for large-scale data processing
• Experience building, evaluating, or optimizing ML/NLP models in production or near-production environments

• At least Upper-Intermediate level of English

   

Personal Profile

• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders
• Strong problem-solving and decision-making skills, with a focus on driving results and meeting deadlines
• Self-motivated, adaptable, and eager to learn new technologies and frameworks

As part of the AI transformation strategy, Kyivstar invests resources into development of products and services that uses cutting edge ML and Speech technologies to significantly improve internal processes and day-to-day tasks, but also uses gained experience to help partners and clients to receive maximum benefits from these technologies too.

Necessary skills:

•4+ years of experience in Machine Learning, Deep Learning and Speech Processing

•Strong Python skills with experience building maintainable and production-ready ML code

•Fundamental knowledge of  ML/DL theoretical concepts

•Hands-on experience with training and deploying models for various speech processing tasks including data preparation (e.g., speech classification, speech-to-text, text-to-speech, speaker diarization, etc.)

•Practical experience developing and deploying end-to-end production-ready ML pipelines, covering data gathering, preparation, training, validation, and inference

•Proficient in version control (Git) and containerization tools (Docker)

Would be a plus:

•Experience with real-time / low-latency speech systems

•Experience with distributed data processing and training in multi-node, multi-GPU environments

•Familiarity with PySpark for large-scale data processing

•Experience with Azure/AWS

•Exposure to Data Science in the Telecom industry

Responsibilities:

•Design, train, and optimize ASR and TTS models for production use

•Design, train, and evaluate classical ML models

•Perform feature engineering and data analysis for both speech and non-speech data

•Collaborate with DE/DevOps team to deploy the solution

•Plan and manage ML projects, articulate methodologies, and communicate results and business impact to stakeholders and customers

Proposed:

•Working with huge amounts of data at the largest operator in Ukraine

•Hands on experience with Cloud technologies and tools

•Great diversity of tasks and projects to utilize your knowledge and skills; flexibility in tools and approaches

•Opportunity to grow within the team of talented data scientists

We are looking for a Computer Vision Engineer with a solid foundation in classical computer vision and hands-on experience implementing low-level CV algorithms. The ideal candidate will have exposure to SLAM, Visual-Inertial Odometry (VIO), and sensor fusion, with responsibilities adjusted according to experience level.

Responsibilities: 

• Design, implement, and optimize classical CV algorithms independently
• Develop and maintain components of SLAM/VIO pipelines
• Contribute to sensor fusion modules involving visual and inertial data
• Lead experiments, evaluate model performance, and propose improvements
• Review research papers and translate findings into practical solutions
• Collaborate across teams to ensure smooth integration of CV components.

Required Qualifications:

• Strong practical experience with classical CV and geometric vision
• Hands-on experience developing components of SLAM and/or VIO systems
• Proficiency in C++ and confident working in Linux environments
• Solid understanding of multi-sensor systems and data fusion
• Proven ability to prototype, benchmark, and optimize CV algorithms
• Ability to analyze research papers and implement state-of-the-art methods.

Nice to Have:

• Experience with Python
• Knowledge of neural networks and CV libraries/frameworks (OpenCV, NumPy, PyTorch, ONNX, Eigen, etc.)
• Experience with sensor fusion techniques
• Familiarity with embedded or real-time systems