Jobs Data Science

🚀We are looking for an experienced Data Scientist for a full-time job to join our team.


🎯 Requirements:
-2+ years of experience as a data scientist
-BSc in Mathematics, Statistics, Computer Science, Economics, or another related field.
-Experience in using Python & SQL
-Experience with Airflow and GCP
-Experience with Git & CI/CD
-Upper Intermediate English — written and spoken
-Ability to design creative solutions for complex requirements
-Ability to learn and lead projects independently, and to work with minimal supervision with customers (tech & business)

🧩 Responsibilities:
-Conduct independent research, including defining research problems, creating research plans, designing experiments, developing algorithms, implementing code, and performing comprehensive comparisons against existing benchmarks;
-Clearly communicate your research findings to both technical and non-technical audiences
-Work on various data sources and apply sophisticated feature engineering capabilities
-Bring and use business knowledge
-Build and manage technical relationships with customers and partners.

🎯 We offer:

• Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
• Always on-time payments — no delays
• A normal, supportive team without unnecessary bureaucracy

Are you looking to start a career in IT? Do you enjoy searching for and finding information from different sources? Would you like to use and maintain your English skills at work? Then we have an opportunity for you! 

The international IT company Intetics is looking for a Data Processing Specialist to join our team. 

The role involves manually entering and updating information in a database for a mobile app that helps users search for and compare parking options in cities across the US and Europe. If you're interested in launching your IT career and contributing to a useful product, don’t miss this chance! We work on many exciting projects and are confident we can find the best fit for your skills and interests. 

Responsibilities: 

• Analyzing and entering data from various sources (e.g., photos, websites, client-provided materials) 
• Updating and maintaining the client database 
• Performing internal quality control of completed work 
  
  Requirements
•  
• Higher education or students in their final year with availability for full-time work 
• English proficiency (Intermediate and higher) 
• Knowledge of additional languages is a plus 
• Logical thinking and the ability to make quick, practical decisions 
• Good typing speed and accuracy 

Benefits

• A supportive team of talented professionals − great to work with and fun to relax with 
• Full English language course 
• Flexible work schedule 
• Comfortable office space with areas to work and unwind 
• Paid vacation 

Role Type: Contract / Fixed-Scope Consulting Engagement
Duration: 2–3 months (10–12 weeks)
Allocation: Full-time or near full-time (4–5 days/week preferred)
Location: Remote (Must overlap with Spain / CET ± 6 hours)
Languages Required: Spanish (C1+) and English (B2+)
 

The Opportunity

We are looking for a hands-on Senior Data Science / Analytics Engineering Consultant to audit, redesign, and rebuild our core chargeback estimation and revenue estimation models.

This is a critical, end-to-end project. You will turn existing prototypes into production-grade pipelines within our modern data stack (dbt on Databricks & Python). Additionally, you will design and build a lightweight, business-facing scenario tool that enables finance and operations stakeholders to run “what-if” revenue simulations.

Our Technical Philosophy: Parsimony Over Black Boxes

We explicitly favor simple, highly interpretable, parametric approaches. If your first instinct for a forecasting problem is to throw an XGBoost ensemble, a deep learning model, or an LLM at it, this is not the project for you.

We build models where every parameter carries an explicit business meaning that can be explained to non-technical stakeholders in plain language (e.g., “If price increases by 10%, conversion drops by X% because our calculated price elasticity is −1.3”).
 

Scope of Work & Deliverables

• Phase 1: Discovery & Audit (Weeks 1–2): Review current estimation models (assumptions, dbt lineage, validation methods). Reconcile historical model outputs against actual accounting figures for the last 12–24 months to quantify bias and error. Deliver a written findings report.
• Phase 2: Redesign (Weeks 3–4): Propose the target parametric methodology for each model (granularity, refresh cadence, uncertainty quantification) and secure stakeholder sign-off.
• Phase 3: Rebuild (Weeks 5–9): Productionize the new models in dbt, Databricks, and Python. Use curve-based formulations with fitted historical parameters and clear confidence intervals. Implement strict unit/dbt testing and MLflow tracking.
• Phase 4: Scenario Tool (Weeks 9–10): Build a lightweight business interface (e.g., Streamlit on Databricks or a parameterized Databricks SQL dashboard). Users must be able to input hypotheses (price ±X%, volume ±Y%, mix shifts) and instantly view projected net impact with uncertainty bands.
• Phase 5: Handover (Weeks 11–12): Conduct knowledge transfer sessions, deliver runbooks/model cards, and provide a 2-week post-handover bug-fix support window.
   

Your Profile

• Experience: 5–8+ years in Data Science, Quant Analytics, or Senior Analytics Engineering.
• Production Ownership: Proven track record of owning financial-estimation or forecasting models in production end-to-end.
• The “Parsimony” Mindset: Demonstrable expertise in parametric/curve-based modeling (price elasticity, cohort survival curves, demand curves, GLMs) over black-box ML.
• Stakeholder Tooling: Experience building clean “what-if” tools or financial planning interfaces for business leadership.
• The Stack: Advanced Python (pandas, numpy, scikit-learn, statsmodels, and/or scipy.optimize), production dbt (incremental models, snapshots, tests), and Databricks (PySpark, Delta, workflows).
• Domain Knowledge: Direct experience in payment risk, chargebacks, refund/dispute modeling, revenue forecasting, cohort LTV, or pricing analytics.
• Communication: Exceptional ability to cross-reference data science outputs with strict financial accounting figures.
• Languages: Spanish (C1+) is mandatory for daily synchronization with local finance/ops teams; English (B2+) is required for technical documentation.
   

Nice to Have

• Background in FinTech, subscription models, payments, or high-volume e-commerce.
• Deep familiarity with Unity Catalog, Databricks Workflows, or Airflow.
• A strong track record of successful independent consulting engagements (references requested).

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the client:
The company is on a mission to make the world’s industrial environments safer with technology solutions and to drive a paradigm shift in safety from reactive to proactive approaches to reduce the risk of industrial accidents. The team in Ukraine is developing the future of industrial safety based on machine learning, computer vision, and IoT.

About the role:
We are looking for a Data Annotator whose task will be to provide timely and high-quality annotations of images that will be used for training computer vision algorithms. Data Annotator will work closely with data engineers in the tasks of creating datasets for training neural networks.

Requirements:
- Confident PC user.
- Capability to learn and follow annotation guidelines.
- Ability to stay focused during extended periods of monotonous work.
- English proficiency at a Pre-Intermediate level (A2).

Would be a plus:
- Prior annotation experience.
- Interest in data exploration and searching patterns in it.

Responsibilities:
- Perform image annotation (including object detection annotation, segmentation, and key points) with high accuracy, according to the annotation rules.
- Categorize images and videos based on given criteria.
- Meet the required performance and quality KPIs.
- After gaining sufficient experience in data annotation - review other annotators, analyze data and develop guidelines for its annotation.

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.

Mine Marketing works on the connection between advertising, data, and automation. We’re looking for a Technical Data & Automation Specialist to join our team and work closely with leadership on data, automation, system development, troubleshooting, and production operations.


What you will do with us:
- Connect advertising systems with internal data systems
- Build and improve pipelines that handle bulk in real time 
- Dig deep into performance issues and translate data into business decisions 

What we're looking for 🎯
- Hands-on experience with Claude Code and building automations
-High command of SQL: complex queries, optimization, performance thinking 
- Understanding of Data Pipelines, ETL, and Data Processing Processes
- Familiarity with performance metrics: ROI, CPA, CTR and the ability to connect data to decisions
- Analytical, entrepreneurial thinking, and true independence in complex tasks

Significant Advantage
- Experience in production systems in the advertising / performance worlds
- Working with Meta Ads/Google Ads (APIs)
- AWS/GCP experience

What awaits you ✨
- Real data that drives business decisions
- Real technical challenges: scale, reliability, accuracy 
- Lots of ownership and freedom to move things fast


What we offer:
- Opportunities for professional development and personal growth 🚀

- Competitive salary, reasonable and fair working conditions 💵

- A ridiculously awesome team and work environment 🎉

- Training opportunities, including paid courses and webinars 💻

- Remote working conditions 🏠

- Generous PTO and Holidays 🌴

Join us and let's make some social media magic happen! Apply now!

About The Role

As a Senior/Lead Software Engineer in our Machine Learning department, you will take ownership of high-impact initiatives that drive product quality, monetization, and user experience. You’ll apply your expertise in Python, data analysis, and modern AI tools to build, deploy, and optimize ML solutions end-to-end. This is a hands-on technical role that blends data science and engineering to deliver measurable business outcomes. You’ll collaborate closely with cross-functional stakeholders and contribute to evolving areas such as LLMs, Generative AI, and ML infrastructure. The role offers exposure to complex data challenges and the opportunity to shape Pearl’s AI-driven capabilities.

What You’ll Do

• Build, train, and deploy ML models that improve product performance and monetization.
• Collaborate with data, product, and engineering teams across multiple internal initiatives.
• Design and implement data pipelines for extraction, transformation, and analysis.
• Apply statistical and machine learning techniques to real-world business problems.
• Work on projects involving LLMs and Generative AI technologies.
• Analyze large datasets to identify trends, insights, and optimization opportunities.
• Integrate ML models into production systems and monitor their performance.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders.
• Experiment with emerging AI tools and methodologies to enhance existing workflows.
• Ensure data quality, reliability, and scalability in all deliverables.

What We’re Looking For

• 3+ years of hands-on experience in ML Engineering or Data Science.
• 5-6+ years total experience in software or data engineering.
• Strong programming skills in Python.
• Proficiency in SQL for data querying and analysis.
• Solid understanding of data processing, analysis, and visualization.
• Experience with LLMs / Generative AI tools (e.g., OpenAI, Copilot, Cursor).
• Ability to build and deploy ML models end-to-end.
• Strong analytical and problem-solving mindset.
• Experience with .NET for integration work
• Upper-intermediate English proficiency (B2 or higher).
• Familiarity with Databricks or similar data platforms (nice-to-have).
• Exposure to AWS or other cloud-based ML environments (nice-to-have).

Why Join Us?

• High-Impact Data — Work with vast datasets generated by over a million daily visits, uncovering valuable insights.
• Collaborative Analytics Team — Join a team of 30+ skilled analysts who actively share knowledge and support each other.
• Cutting-Edge Tools & Techniques — Get hands-on experience with ML, Bayesian methods, and LLMs to solve real business challenges.
• Data-Driven Culture — Thrive in an environment where data informs every decision and drives continuous improvement.

About the company: United Tech is a global IT product company shaping the future of real-time social connection. With millions of users across North America, Europe, LATAM, and MENA, we build next-gen mobile and web apps for live-streaming and social networking. Our platforms enable connection at scale fast, interactive, and deeply engaging. The market is projected to exceed $206B by 2030, and we are already leading the evolution. Founded in Ukraine, scaling worldwide
 

About your role: In this role, you will directly influence product growth and monetization by improving Recommendation Systems for gifts and coins. You’ll work end-to-end on ML solutions — from defining the Data Science roadmap and running experiments to deploying production-ready models — while collaborating closely with Product Managers, Analysts, and Engineers. The role offers a combination of hands-on machine learning, recommendation systems, MLOps, and strategic ownership in a fast-paced product environment where your work will have visible business impact.

In this role, you will

• Create, develop, and improve machine learning models to enhance business performance and product effectiveness
• Collaborate closely with cross-functional teams, including Product Managers, Analysts, and Engineers, to deliver innovative ML-driven features and improvements
• Apply expertise in machine learning algorithms, data structures, and optimization techniques to improve model accuracy, scalability, and efficiency
• Implement and maintain MLOps best practices for model deployment, monitoring, retraining, and maintenance in production environments
• Investigate, troubleshoot, and resolve technical issues related to machine learning models, data pipelines, and infrastructure
• Stay up to date with the latest advancements, technologies, and best practices in machine learning, artificial intelligence, and data science

It’s all about you

• 4+ of Machine learning and deep learning on tabular data, Recommendation systems. 
• 4+ years of software development experience in Python with experience working with ML and DL
• Experience in designing a data science roadmap and the leading technical execution of the project
• Experience with Cloud development AWS/GCP
• Experience of deploy API models on Dev/Prod environment
• Practical understanding of A/B tests process
• Practical understanding of the mathematics behind modern machine learning, linear algebra, and statistics.
• Extensive SQL knowledge

What we offer

Care and support: 

• 20 paid vacation days, 15 sick days, and 6 additional days off for family events
• Up to 10 additional days off for public holidays
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Maternity recovery support allowance 
• Financial and legal support
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine
   

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule 
• Modern equipment or depreciation of your own tools
   

Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here – so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Corporate library, book club, and knowledge-sharing events
   

Hiring process

• Intro call
• Technical Interview
• Final Interview
• Reference check
• Offer

N-iX  is looking for an experienced Senior Data Scientist with a strong focus on AI Engineering. The role involves designing and delivering production-ready AI solutions for the insurance industry, with a particular emphasis on Agentic AI, LLMs, RAG pipelines, and Computer Vision.

Key Responsibilities:

• Design and develop autonomous AI agent systems for the insurance domain
• Build production-ready AI solutions using:
  • Multi-Agent Systems
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Computer Vision
• Research, evaluate, and implement state-of-the-art AI technologies
• Develop scalable AI products for international markets
• Collaborate with a team of Data Scientists and AI Engineers
• Take AI solutions from architecture and proof of concept through production deployment
• Participate in building proprietary AI models for the insurance industry

Required Skills:

• 5+ years of commercial experience as a Data Scientist / AI Engineer
• Strong Python development skills
• Hands-on experience with:
  • Machine Learning
  • Deep Learning
  • Generative AI
  • LLMs
  • RAG architectures
  • AI Agent frameworks
• Experience building production AI systems
• Solid software engineering background
• Experience with data analysis and AI product development
• Degree in Computer Science/Data Science/Mathematics/Physics/Engineering or equivalent technical background
• Upper-intermediate+ English level 
• Strong analytical thinking, proactive mindset
• Ability to design scalable AI solutions
• Ability to explain complex technical concepts
• Independent and structured way of working
• Team player

Nice to Have:

• Experience within the insurance industry
• German or Spanish language skills

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

* benefits package is not applicable for freelancers

Who We Are

At Bennett Data Science, we've been pioneering the use of predictive analytics and data science for over a decade for some of the biggest brands and retailers. We're at the top of our field because we focus on delivering actionable AI for our clients. Our deep experience and product-first attitude set us apart from other groups and gets us the business results our clients want.

Why You Should Work With Us

You'll be exposed to a wide range of clients who are at the cutting edge of innovation in their field and get to work on fascinating problems, supporting real products, with real data. We help lots of companies, from some of the largest companies in the world to small startups in Silicon Valley who are building the next big thing.

Expert Mentorship: Direct guidance from senior staff with 20+ years of applied ML experience

Competitive Compensation: Market-rate pay with performance upside

Fully Remote: Work from any location of your choice, on a flexible schedule

Real Impact: Your models go into production and serve real users

The Role:

As a Senior Data Scientist, you will design, build, and deploy RAG systems and other AI solutions that help teams manage land, infrastructure, and stakeholder relationships more effectively. You'll work with large volumes of documents, permits, geospatial records, and stakeholder communications, turning unstructured and semi-structured data into reliable, queryable intelligence.

You'll own projects end-to-end: scoping the problem with internal and client-facing stakeholders, selecting retrieval and generation strategies, building and evaluating pipelines, and iterating on production systems alongside senior data engineers. You'll also contribute to the team's broader ML work: classification, extraction, geospatial modeling, and mentor junior team members as the practice grows.

This is a hands-on, senior individual contributor role. You'll need to be as comfortable explaining tradeoffs to a non-technical project manager as you are tuning a reranker or debugging retrieval recall. Client-facing communication is part of the job.

Requirements

A successful candidate has 5+ years of experience in applied data science and machine learning, with deep hands-on expertise in retrieval-augmented generation and a strong statistical foundation. They demonstrate the following:

RAG & Generative AI (Core Focus)

• Proven experience designing, building, and deploying RAG-based systems in production, including chunking strategies, embedding model selection, retrieval tuning, and reranking
• Strong understanding of hallucination mitigation techniques (grounding, citation enforcement, context window management, guardrails) and the ability to articulate tradeoffs across architectures
• Experience evaluating RAG pipeline quality end-to-end: retrieval recall, answer faithfulness, latency, and cost
• Familiarity with vector databases and hybrid search (e.g., Databricks, Pinecone, pgvector, or OpenSearch)

Applied ML & Engineering

• Production ML experience: building, deploying, and maintaining models that serve real users at scale
• Strong Python skills including scikit-learn, pandas, NumPy, and at least one deep learning framework (PyTorch or TensorFlow)

• Solid statistical foundation: hypothesis testing, distributions, probability, experimental design

   

Communication & Working Style

• Experience translating model behavior, recommendations, and limitations for non-technical stakeholders, particularly in domains where trust and accuracy are critical
• Comfort working independently across multiple projects simultaneously
• English proficiency at B2 or above (written and spoken)
  Project Ownership, Communication & Delivery
• Strong client-facing communication skills, including communicating progress, identifying risks, and presenting technical decisions clearly
• Ability to translate business requirements into well-defined technical plans, milestones, and deliverables
• Demonstrated accountability for the quality, timeliness, and completeness of project outcomes
• Ability to explain model behavior, recommendations, tradeoffs, and limitations to non-technical audiences, particularly in domains where trust and accuracy are critical
• Comfort working independently

Nice to Have

• Experience applying LLMs or transformer-based NLP for structured text classification, information extraction, or embedding-based retrieval
• Geospatial feature engineering, location-based statistics, spatial indexing, or proximity scoring, particularly in land, infrastructure, or utility corridor contexts
• Experience with Vision-Language Models (VLMs) or satellite/aerial imagery analysis for document or land parcel interpretation
• Experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI)
• Exposure to utilities, energy, infrastructure, land management, or enterprise SaaS domains
• Experience fine-tuning or adapting pre-trained models (LoRA, PEFT, or full fine-tune)
• Experience with agentic architectures and deployments

Computer Vision engineer

DeepX is looking for a Computer Vision engineer

Core requirements:
- Python development experience
- Knowledge of popular data processing libraries (numpy, pandas, scipy etc)
- GIT, Linux, bash

Nice to have (or able to learn quickly):
- Hands-on experience with popular Machine Learning frameworks (OpenCV, Pytorch, Tensorflow, Keras, Yolo)
- Understanding of Computer Vision problem space
- Machine Learning and Artificial Neural Networks fundamentals
- Linux, Docker, gcc/make etc experience
- C++ and C, creating Python C extensions

A bit about DeepX company:
DeepX is an R&D intensive and innovation-driven consortium that provides Artificial Intelligence-powered Computer Vision solutions for businesses.
Please, take a look to find out more about us https://deepxhub.com/
We are a group of enthusiastic adherents who are passionate about the idea of improving this world’s safety by making Computer Vision technologies more advanced. Lifetime learning is our motto, we are admire ambition hard workers who are ready to face new challenges. If you feel like we might be on the same page, please, apply!

ABOUT COMPANY

SoftServe Business Systems was founded in 2003. We aim high; our mission is to lead the digital revolution in the FMCG industry. It means delivering the best products & services possible that empower businesses to grow and improve efficiency.

We are a product company, and this affects our day-to-day activities. Our team is highly involved in the client’s needs, we value business ability, and we take every step with extra care. Among our clients are businesses like AB InBev, Unilever, JDE, PepsiCo, Henkel, and others.

Our customer is Anheuser-Busch InBev (AB InBev), the biggest brewery company in the world. We own over 630 beer brands (including Budweiser, Stella Artois, Hoegaarden, Beck’s, Leffe, Chernihivske) in 150 countries and are considered to cover 28% of the global beer market worldwide. European HQ is in Leuven, Belgium.

REQUIREMENTS

• 4+ years in a Data Scientist or similar analytical role
• Proficiency in Python or R and experience with core data science libraries and toolkits
• Solid grasp of the full data science workflow: from ETL and EDA to feature engineering, modeling, and evaluation
• Strong understanding of machine learning techniques for classification and regression tasks
• Familiarity with descriptive and inferential statistics
• Confident communication skills and a good sense of data visualization principles

Nice-to-have skills

• Hands-on experience with Design of Experiments or recommender systems
• Exposure to cloud platforms (e.g., Azure) and scaling analytical solutions
• Working with APIs to gather external data, ideally from social media platforms
• General software engineering skills

RESPONSIBILITIES

• Support prediction modeling and measurement initiatives by scaling and deploying solutions together with global analytics hubs to improve commercial KPIs
• Maintain and update data pipelines, monitor model performance and stability across multiple use cases and markets
• Contribute to live testing activities by enhancing the test-and-learn platform and helping stakeholders design and run in-market experiments
• Optimize online promotion strategy, including calendar planning, execution logic, and personalization to drive higher conversion and long-term customer value
• Collaborate with the broader data science team to refine existing tools, methods, and best practices

Ready to work on machine learning solutions powering large-scale video advertising platforms used by millions of viewers worldwide?

We are looking for a Senior / Principal Machine Learning Engineer to join a distributed engineering team working on intelligent forecasting and advertising optimization systems. In this role, you will contribute to high-load cloud-native solutions processing billions of daily requests and terabytes of data.

We at Sigma Software offer the opportunity to work with cutting-edge ML and Big Data technologies, collaborate with international experts, and influence technical decisions within a complex AdTech ecosystem.

Customer:

Our Customer is a leading technology company in the television and digital advertising industry focused on helping media companies monetize premium video content. The platform supports high-quality video delivery across smart TVs, OTT devices, mobile applications, set-top boxes, and desktop environments. The Customer operates a large-scale distributed ecosystem that combines machine learning, cloud technologies, and advanced analytics to optimize advertising efficiency and audience targeting.

Requirements:

• 6+ years of commercial experience in Machine Learning and Big Data engineering
• Strong hands-on experience with machine learning algorithms implementation using Python
• Proven experience with Apache Spark and large-scale distributed data processing
• Experience working with distributed messaging systems such as Kafka
• Strong knowledge of AWS cloud services and cloud-native architectures
• Experience designing and developing large-scale distributed or mission-critical systems
• Solid understanding of software engineering principles, SDLC, and Agile methodologies
• Strong analytical thinking and problem-solving skills
• Ability to work independently and take ownership of complex technical solutions
• Good communication and collaboration skills

• Upper-Intermediate or higher English level

   

Will be a plus:

• Experience with Golang
• Experience in AdTech, online advertising, or media platforms
• Experience with forecasting systems or recommendation engines

• Experience optimizing ML models for large-scale production environments

   

Responsibilities:

• Design, develop, and optimize scalable Machine Learning models for advertising intelligence and forecasting systems
• Analyze large-scale historical and real-time datasets to improve forecasting accuracy and monetization strategies
• Build and maintain distributed data processing pipelines using Spark and related Big Data technologies
• Develop production-ready ML solutions using Python within AWS cloud infrastructure
• Research, evaluate, and implement Machine Learning algorithms suitable for high-load AdTech environments
• Improve model performance, scalability, reliability, and operational efficiency
• Collaborate with Data Engineers, Product Managers, and distributed engineering teams to deliver end-to-end ML solutions
• Contribute to ML architecture decisions, experimentation approaches, and engineering best practices
• Monitor, validate, and optimize ML model quality and forecasting performance in production environments
• Produce technical documentation related to ML pipelines, models, and distributed systems
• Mentor engineers and support technical growth within the team
• Drive innovation in Machine Learning and AdTech technologies

Готові працювати над рішеннями у сфері машинного навчання, які забезпечують роботу масштабних платформ відеореклами, якими користуються мільйони глядачів по всьому світу?

Ми шукаємо Senior / Principal Machine Learning Engineer до розподіленої команди розробки, яка працює над інтелектуальними системами прогнозування та оптимізації реклами. На цій посаді ви долучитеся до створення високонавантажених cloud-native рішень, що щодня обробляють мільярди запитів і терабайти даних.

У Sigma Software ви матимете можливість працювати з передовими технологіями Machine Learning і Big Data, співпрацювати з міжнародними експертами та впливати на технічні рішення в межах складної AdTech-екосистеми.

Замовник:

Наш Замовник — провідна технологічна компанія у сфері телебачення та цифрової реклами, яка допомагає медіакомпаніям ефективно монетизувати преміальний відеоконтент. Платформа забезпечує високоякісну доставку відео на Smart TV, OTT-пристрої, мобільні застосунки, TV-приставки та настільні комп’ютери. Замовник керує масштабною розподіленою екосистемою, що поєднує машинне навчання, хмарні технології та розширену аналітику для оптимізації ефективності реклами й таргетування аудиторії.

Вимоги:

• 6+ років комерційного досвіду у сфері Machine Learning та Big Data.
• Впевнений практичний досвід реалізації алгоритмів машинного навчання з використанням Python.
• Досвід роботи з Apache Spark та обробкою великих обсягів даних у розподілених системах.
• Досвід роботи з розподіленими системами обміну повідомленнями, такими як Kafka.
• Ґрунтовні знання хмарних сервісів AWS та cloud-native архітектур.
• Досвід проєктування та розробки масштабованих розподілених або критично важливих систем.
• Розуміння принципів розробки програмного забезпечення, SDLC та Agile-методологій.
• Розвинене аналітичне мислення та навички вирішення складних технічних задач.
• Здатність самостійно працювати та брати відповідальність за реалізацію комплексних технічних рішень.
• Хороші комунікаційні навички та вміння ефективно співпрацювати з командою.

• Англійська мова — Upper-Intermediate або вище.

   

Буде перевагою:

• Досвід роботи з Golang.
• Досвід у сфері AdTech, онлайн-реклами або медіаплатформ.
• Досвід розробки систем прогнозування або рекомендаційних систем.
• Досвід оптимізації ML-моделей для великомасштабних production-середовищ.

Обов’язки:

• Проєктування, розробка та оптимізація масштабованих моделей машинного навчання для систем рекламної аналітики та прогнозування.
• Аналіз великих історичних і потокових наборів даних для підвищення точності прогнозування та ефективності монетизації.
• Розробка й підтримка розподілених конвеєрів обробки даних із використанням Spark та інших технологій Big Data.
• Створення production-ready ML-рішень на Python у хмарній інфраструктурі AWS.
• Дослідження, оцінка та впровадження алгоритмів машинного навчання для високонавантажених AdTech-систем.
• Підвищення продуктивності, масштабованості, надійності та ефективності роботи моделей.
• Співпраця з Data Engineers, Product Managers та розподіленими командами розробки для створення комплексних ML-рішень.
• Участь у прийнятті архітектурних рішень, визначенні підходів до експериментів та впровадженні найкращих інженерних практик.
• Моніторинг, валідація та оптимізація якості ML-моделей і точності прогнозування в production-середовищі.
• Підготовка технічної документації щодо ML-пайплайнів, моделей і розподілених систем.
• Менторинг інженерів та підтримка їхнього професійного розвитку.
• Сприяння впровадженню інновацій у сфері Machine Learning та AdTech.

Cloudfresh ⛅️ is a Global Google Cloud Premier Partner, Zendesk Premier Partner, Asana Solutions Partner, GitLab Select Partner, Hubspot Platinum Partner, Okta Activate Partner, and Microsoft Partner.

Since 2017, we’ve been specializing in the implementation, migration, integration, audit, administration, support, and training for top-tier cloud solutions. Our products focus on cutting-edge cloud computing, advanced location and mapping, seamless collaboration from anywhere, unparalleled customer service, and innovative DevSecOps.

We’re currently looking for a Data Engineer/Analyst (GCP) to join our team. In this role, you’ll design, implement, and deliver robust data platforms and analytics solutions on Google Cloud - ensuring technical excellence and client success across the full project lifecycle, from pre-sales discovery to enterprise delivery and internal projects. We’re excited to meet someone who’s ready to make a real impact.

Requirements

- Fluency in Ukrainian
- At least B2 level in English
- GCP Native Data Stack: Deep practical knowledge of BigQuery, Cloud Storage, Cloud Functions, and BigQuery ML.
- 3+ years of experience in Data Engineering
- Strong experience with Dataflow, Dataproc, Pub/Sub, Cloud Composer, or Dataform for building and maintaining optimized ETL/ELT processes in GCP.
- Proficiency in Looker / Looker Studio.
- Advanced SQL (focus on optimization and performance tuning) and Python (for API integrations and pipeline scripting).
- Comfortable in client-facing and pre-sales scenarios (live demos, requirements gathering) with the ability to translate business needs into scalable technical designs.
- A proactive, self-driven approach with high responsibility for data platform reliability and accuracy.
- Familiarity with integrating data from APIs, relational databases, NoSQL systems, and SaaS platforms.
- Ability to work seamlessly with architects, DevOps, and ML engineers to deliver end-to-end cloud solutions.

Responsibilities

- Design and build modern data platforms for enterprise clients, working with both structured and unstructured datasets at scale.
- Lead the implementation of analytics solutions ensuring strict data quality, security, and rigorous performance optimization.
- Run workshops and deliver technical presentations to stakeholders to define and refine data architectures.
- Continuously monitor and tune BigQuery cost/scalability models and ETL performance.
- Collaborate with the team during discovery phases to provide technical expertise, live demos, and solution scoping.
- Identify and explore new GCP features and agentic AI tools to automate operations and improve process analytics.

Work conditions

- Flexible Work Format: Work remotely with flexible hours, allowing you to balance your professional and personal life efficiently.
- Training with Leading Cloud Products: Access in-depth training on cutting-edge cloud solutions, enhancing your expertise and equipping you with the tools to succeed in an ever-evolving industry.
- International Collaboration: Work alongside A-players and seasoned professionals in the cloud industry.
- Expand your expertise by engaging with international markets across the EMEA and CEE regions.
- Vibrant Team Environment: Be part of an innovative, dynamic team that fosters both personal and professional growth, creating opportunities for you to advance in your career.

When applying to this position, you consent to the processing of your personal data by CLOUDFRESH for the purposes necessary to conduct the recruitment process, in accordance with Regulation (EU) 2016/679 of the European Parliament and of the Council of April 27, 2016 (GDPR).
Additionally, you agree that CLOUDFRESH may process your personal data for future recruitment processes. You can withdraw this consent at any time.

We are looking for a Computer Vision Engineer with solid ML/DL experience to join our team on challenging projects.
We consider engineers at Middle and Senior levels - tasks and responsibilities will be adjusted accordingly. 

Required Qualifications:

• 3+ years of experience in computer vision
• High proficiency in Python
• Strong experience with deep learning and the PyTorch framework for computer vision tasks
• Research experience in computer vision with a focus on delivering results
• Ability to work independently or within a small team, with a strong sense of ownership over results

Nice to Have:

• Experience with deep learning solutions for detection, tracking, image retrieval, and segmentation tasks
• Understanding of geometric computer vision principles
• Model optimization: quantization, pruning, neural network compilers
• Hands-on experience implementing low-level CV algorithms
• Experience with sensor fusion (IMU, magnetometer, GNSS, camera)
• Knowledge of C++

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, Strong 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:

Design, launch and continuously improve ML-based dynamic pricing algorithms for a real-time marketplace.

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

— Own the full lifecycle of ML solutions, from hypothesis and experimentation to production rollout and business impact measurement

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

• Take control of your workday with our flexible schedule.
• 19 days of annual vacation granted on a pro-rata basis.
• No overtime required.

Hybrid/remote 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 help promote the global visibility of exceptional Ukrainian products from anywhere in the world.

Stay healthy

• Comprehensive medical insurance from a leading Ukrainian provider, including a wide range of services and special programs for relatives, and special options for those who live abroad.
• 15 working days of sick leave per year — because your health is our priority.

Grow with us

• In-house English courses to increase your proficiency through our online courses and speaking clubs with a native speaker.
• Online learning activities, including workshops, lectures, and webinars to enhance your leadership, management, and self-awareness skills.
• Experience exchange with our team of professionals who eagerly share their deep expertise across various fields.
• Opportunities for promotions, rotations, and transitions when you believe your skills could benefit a different role or team.

Stand with Ukraine!

We have an active pro-Ukrainian position! This means that we help our army, our servicemen, and their families not only through constant donations and volunteering but also through our military leave policy, special health insurance options, and financial assistance.

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
• Test Task
• 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.