Jobs Data Science

Join us in developing a data science and ML offering for a comprehensive workforce management platform serving enterprises across industries and regions. We are looking for a Senior Data Scientist to own the direction and delivery of the Intelligence Pack. This analytical and ML layer turns platform data into predictive value for customers.

This is the first dedicated data science hire on the project. You will set standards, shape the roadmap in partnership with the Product team, and deliver much of the work yourself – across the full analytics lifecycle: from data architecture and predictive insights to customer-facing dashboards. The role requires a strong combination of technical depth, product mindset, and the ability to work autonomously across multiple stakeholders.
Enterprise SaaS platform for workforce management and talent acquisition.

Requirements

• Strong applied data science skills: building predictive models, surfacing patterns, and shipping ML/AI features into production
• Excellent SQL and data modelling skills; ability to design, refactor, and optimise warehouse structures
• Proven experience delivering customer-facing dashboards (Metabase or similar) where accuracy and performance both matter
• Hands-on experience with query optimisation, version control, and structured analytics development practices
• Product-minded approach: ability to think about users, value, and trade-offs as naturally as about schemas
• Experience helping define the product direction or roadmap for a data product, intelligence layer, or analytics offering
• Credibility to set standards and lead through influence as a senior individual contributor
• Strong communicator across product, engineering, commercial, operations, and customer audiences
• Comfortable engaging directly with customers on reporting and insights
• Upper-Intermediate English level or higher

Would Be a Plus

• Experience introducing tooling and processes that speed up analytics development while improving quality and consistency
• Experience working across analytics engineering, business intelligence, and data science disciplines within a single role
• Experience supporting customer-facing analytics, reporting, or intelligence products
• Interest in growing a data capability and taking on broader leadership responsibilities as the function scales

Responsibilities

• Own the long-term direction of the Intelligence offering, spanning data models, analytics, and customer-facing insights
• Partner with the Product team to build and evolve the data science roadmap
• Design and evolve the data architecture and canonical data model underpinning Intelligence
• Develop and ship data science work: predictive signals, pattern detection, and automated insights
• Design and deliver dashboards that customers trust and rely on
• Own analytics engineering end-to-end: modelling data, optimising queries, versioning work, and reviewing changes before they reach customers
• Establish architectural principles, analytical standards, and ways of working that allow Intelligence to scale
• Work closely with Engineering to ship Intelligence features into the product
• Engage directly with customers to understand reporting needs, explain insights, and validate value
• Support Commercial and Operations teams with insights that underpin upsell, renewal, and decision-making
• Provide insights and what-if analysis tooling for C-Suite customers

BETER is a rapidly growing product company. We create competitive content supplemented with analytics. For more than 5 years, we have been organizing sports tournaments, broadcasts, and developing our own sports community. We hold 45,000+ events per month in esports and traditional sports, and our products are represented in 150+ countries worldwide.

We are looking for a hands-on Data Science Tech Lead to join our team and drive the development of sports analytics and prediction products. This role combines deep technical expertise in machine learning and mathematical modeling with team orchestration and delivery ownership.

You will work closely with the Engineering Manager and lead a team of 4 Data Science Engineers, helping transform business needs and production challenges into scalable data science solutions.

Responsibilities:

• Collaborate with the Engineering Manager to coordinate and support a team of 4 Data Science Engineers
• Collect and analyze business requirements, production issues, and product needs, transforming them into actionable data science tasks and backlog
• Analyze large volumes of sports, esports, and trading data
• Develop and improve sports prediction models using statistics and machine learning techniques
• Conduct, automate, and evaluate data-driven experiments
• Integrate mathematical and ML models into production workflows
• Participate in hands-on development and coding activities
• Perform code reviews and maintain high engineering and data science quality standards
• Ensure efficient execution and delivery of data science initiatives within the team

Requirements:

• Previous experience in a Tech Lead or team leadership role
• Strong hands-on programming skills in Python
• Advanced knowledge of databases and data processing
• Strong expertise in machine learning, statistics, and probability theory
• Experience building and deploying mathematical or predictive models
• Upper-Intermediate+ level of English
• Ability to balance technical leadership with hands-on engineering work

What we’re looking for:

This is primarily a hands-on engineering role. The main focus is building mathematical models, writing production-level code, and delivering real business impact through data science solutions.

At the same time, the role requires strong coordination skills — the ability to distribute work effectively within the team, support engineers, and ensure successful delivery together with the Engineering Manager.

Successful probation expectations:

During the probation period, we expect the successful delivery of a sports analytics or modeling product through:

• effective team orchestration,
• hands-on contribution to development,
• and high-quality execution of data science workflows.

Ideal candidate profile:

We would love to meet someone who is:

• proactive in communication and information gathering,
• focused on data-driven decision making,
• detail-oriented and demanding when it comes to production quality and best practices.

Also relevant:

• High-load real-time data environments, such as fintech, gaming, marketing analytics, computer vision, or similar domains, working with large-scale data streams.

We offer:

• Ability to work remotely
• Competitive and timely payment for services
• Flexible work schedule
• Personal mentoring and coaching
• Team building and corporate events
• 100% paid sick leave
• 20 working days of paid vacation
• Paid child care leave

Middle Software Engineer (Computer Science Educator – Innovative STEM School, Spain)

Location: Southern Spain
Job Type: Full-time
Start Date: September 2026

🚀 About the Role

We are looking for a passionate Middle-level Software Engineer who is excited not only about building technology, but also about shaping the next generation of innovators.

Join a forward-thinking international STEM school where Computer Science is taught as a tool to understand and transform the world. This is a unique opportunity to combine your engineering expertise with mentoring, problem-solving, and real-world application of technology.

💡 What You’ll Do

• Design and deliver engaging Computer Science learning experiences based on real-world challenges
• Mentor students in programming, algorithms, and software development practices
• Contribute to building a modern, innovation-driven curriculum
• Inspire problem-solving, critical thinking, and creativity
• Support students in projects, competitions, and research initiatives
• Collaborate with an international team of educators and tech enthusiasts

🧠 What We’re Looking For

• 2–5 years of experience in software development (any modern stack)
• Strong understanding of Computer Science fundamentals (algorithms, data structures, systems thinking)
• Passion for sharing knowledge and mentoring others
• Experience with project-based or collaborative environments
• Strong communication skills in English
• Interest in education, innovation, or EdTech is a big plus

🌍 Why This Role is Different

• Work in a startup-like educational environment with freedom to innovate
• Combine software engineering + impact-driven work
• Live and work in Southern Spain 🌞
• Be part of building a next-generation learning model
• Opportunity to grow into leadership, curriculum design, or tech-education hybrid roles

🎯 Ideal Candidate

You’re a developer who:

• Enjoys solving real-world problems
• Wants to go beyond routine coding
• Is curious, creative, and impact-driven
• Would love to inspire others while continuing to grow technically

We are looking for a full-time Study-Level Biostatistician to support clinical trial projects in a CRO/FSP environment. The role is hands-on and focused on the development and review of study-level statistical documents, including Statistical Analysis Plans, statistical input to study documents, review of mock shells, and QC/review of Tables, Listings, and Figures.

The ideal candidate should have strong clinical trials biostatistics experience, excellent written and spoken English, and the ability to work independently with project teams, statistical programmers, and client stakeholders. Experience in ophthalmology and/or oncology therapeutic areas is strongly preferred.

Key Responsibilities

• Develop, review, and provide input into Statistical Analysis Plans.
• Provide statistical input into protocols, study-level documents, mock shells, and analysis specifications.
• Review Tables, Listings, and Figures for consistency with the protocol, SAP, mock shells, and statistical methodology.
• Perform statistical QC/review of outputs and provide clear comments to statistical programmers.
• Support definition of endpoints, analysis populations, visits/timepoints, subgroup analyses, and statistical methods.
• Work closely with statistical programmers to ensure correct implementation of planned analyses.
• Review and respond to client/sponsor comments related to statistical documents and outputs.
• Participate in study team meetings and communicate statistical topics clearly in English.
• Ensure study-level statistical deliverables are accurate, consistent, and compliant with applicable regulatory and project requirements.

Requirements

• Master’s degree in Biostatistics or Statistics is required.
• 3+ years of experience as a Biostatistician in clinical trials, preferably 5+ years.
• Hands-on experience developing and reviewing Statistical Analysis Plans.
• Strong experience with study-level statistical documents and clinical trial deliverables.
• Experience reviewing and performing QC of Tables, Listings, and Figures.
• Good understanding of clinical trial methodology, endpoints, analysis populations, and common statistical methods.
• Ability to work independently in a CRO, pharma, biotech, or FSP environment.
• Strong written and spoken English.
• Good communication skills and ability to interact with project teams and clients.
• Preferred therapeutic area experience: ophthalmology and/or oncology.
• Understanding of CDISC/ADaM and statistical programming deliverables is a plus, but programming is not the primary responsibility.

Nice to Have

• PhD in Biostatistics or Statistics.
• Ophthalmology and/or oncology experience.
• Experience in regulatory submissions.
• Experience working directly with sponsors/clients.

About the Company

We are a specialized consulting company focused on Statistics, Data Science, and AI. We work across multiple industries, including the public sector, insurance, and other data-intensive domains.

For this role, we are specifically looking for a Senior Data Engineer to join projects in the public sector. These projects involve building technically advanced solutions that also create a meaningful positive impact on society.

What You'll Be Doing

• Co-design, manage, and lead consulting projects in Data Science and AI
• Independently advise stakeholders on the client side
• Perform data management, data preparation, analysis, and interpretation
• Prepare and present results, and derive actionable recommendations
• Provide technical leadership and mentor team members
• Contribute to business growth through client acquisition and sales activities
• Identify new business opportunities and maintain existing client relationships
• Represent the company externally
• Contribute to the strategic development of the company

Requirements

• Degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Business Administration, or a related quantitative field
• At least 5 years of experience in Data Science, AI, Advanced Analytics, or Consulting
• Strong expertise in at least one core area, with solid knowledge across related domains
• Experience working with databases and large-scale (Big Data) systems
• Strong programming skills in Python and R
• Excellent communication and consulting skills
• Experience interacting with stakeholders across different departments and seniority levels
• Leadership experience (ideally managing teams of 3–8 people)
• Proven project management and project leadership experience
• Strong sense of responsibility, teamwork, and problem-solving mindset
• Fast learner, adaptable, and easy to work with
• English — B2
• Ukrainian — Native
• Regular business trips within Germany are required

What We Offer

• Dynamic environment with flat hierarchies and high ownership
• Flexible working hours and remote work options
• Individual learning and development opportunities
• Diverse and interdisciplinary team

We are looking for a Data Scientist to join a risk modeling team within one of the leading banks in Ukraine. The team has been a benchmark in risk modeling for over 10 years, applying advanced Machine Learning techniques and global best practices.

We are open to considering candidates from Junior to Senior level, depending on experience and expertise.

In this role, you will develop ML solutions to minimize financial risks and optimize strategies for working with millions of customers.

Why Join the Team:

• Technology Stack: We use cloud solutions and modern development tools such as Amazon SageMaker, Amazon S3, Git, Confluence, etc.
• Scale: Working with large-scale datasets to support critical business decisions.
• Expertise: Risk models aligned with international standards and regulatory requirements.
• Professional Community: Strong Data Science community, regular internal workshops, participation in conferences, and sponsored learning.
• Automation: Proprietary system for managing the full ML lifecycle (from development to monitoring).

Key Requirements:

• 2+ year of experience in Data Science (experience in FinTech/Banking will be a strong advantage);
• Strong proficiency in Python for data analysis (NumPy, Pandas, SciPy, etc.) and experience optimizing SQL queries on large datasets;
• Hands-on experience with ML frameworks such as Scikit-learn and gradient boosting libraries (LightGBM, XGBoost, etc.);
• Experience with time series analysis and forecasting tools (Statsmodels, Prophet, etc.);
• Solid understanding of mathematics behind models (from linear regression to gradient boosting) and model evaluation techniques;
• Understanding of Big Data concepts and experience with version control tools (Git).

Nice to Have:

• Experience with Docker and/or MLflow;
• Knowledge of financial regulations (e.g., Basel III, IFRS 9).

Key Responsibilities:

• Credit Risk Modeling: Develop portfolio risk models (PD, LGD, EAD) in line with IFRS 9 requirements;
• Income & Solvency Forecasting: Build ML models to assess customer financial condition based on transactional activity;
• Credit & Behavioral Scoring: Develop classical and advanced scoring systems for automated decision-making across the customer credit lifecycle;
• Market Risk Analysis: Apply time series analysis and ML techniques to assess liquidity risk, forecast FX volatility, and model customer fund behavior;
• Fraud & Anomaly Detection: Build and maintain systems for detecting unusual transaction patterns in real time;
• ML Lifecycle: Participate in the full lifecycle of models — from idea and data collection to automated monitoring and retraining.

What We Offer:

• Opportunity to work in one of the leading banks in Ukraine;
• Official employment and 24+4 calendar days of vacation;
• Sick leave compensation;
• Competitive salary;
• Bonuses and performance-based incentives;
• Medical insurance;
• Corporate training and development programs;
• Remote work options;
• Financial support in critical situations.

QIT Software is looking for a Data Scientist for Luxury Real Estate Website. ( PART TIME)


Requirements:

- Strong experience in data analysis, research, or journalism — ideally within real estate, property, or luxury consumer markets
- Strong source-evaluation instincts: you can tell a credible, citable figure from an unverified claim and know when a second source is required
- Proficiency working inside CMS platforms (WordPress experience a plus) and comfort with AI-assisted content tools
- Excellent written English — able to turn raw data into clean, concise market commentary for a professional readership
- High attention to detail: you catch a figure that's been rounded differently across two sources, and you follow it up
- Self-directed and organised — capable of managing a rolling workload without close supervision, meeting regular weekly and quarterly deadlines
- Familiarity with the branded residences sector, luxury hospitality, or international property markets is a strong advantage
- Experience working with structured data from multiple formats (PDFs, web articles, press releases) preferred

Responsibilities:

- Review and audit existing market pages to ensure every data point is accurate, current, and properly sourced
- Cross-reference figures against primary sources — market reports, press releases, and news articles — flagging any that lack credible attribution
- Update market data using the internal AI builder and WordPress CMS on a rolling basis as new information becomes available
- Monitor inbound press releases and scraped news content, extracting relevant market figures and tagging them for ingestion
- Produce weekly market insight summaries highlighting notable data changes, emerging trends, and pipeline activity in the branded residences sector
- Compile quarterly reports synthesising market performance across key geographies, brands, and project types
- Maintain a source log that documents the origin, date, and confidence level of every figure on the platform
- Proactively identify gaps in coverage and surface recommendations for new data categories or geographies to track

We are looking for the first Data Science engineers to join our team and play a foundational role in building a private Large Language Model from the ground up. This is a rare opportunity to shape the technical direction, influence architectural decisions, and establish best practices for intelligent systems within the organization.

What you will do: 

• Design, build, and maintain classical machine learning models to support core product needs.
• Develop agent-based systems (LLM agents, multi-step agents, agent-to-agent workflows) as part of the broader LLM ecosystem.
• Conduct rigorous experiments and iterate quickly to validate approaches and improve system performance.
• Build and optimize inference pipelines, including performance tuning, monitoring, and alerting.
• Collaborate closely with Data Engineering to deploy models securely and reliably into production environments.

• Contribute to defining standards, workflows, and tooling for the new Data Science function.

   

What we expect:

• 3+ years of hands-on experience with Python.
• Strong SQL skills and understanding of data workflows.
• Solid grasp of machine learning methods and their practical applications.
• Experience building agents or agent-based systems is a strong plus.
• Initiative, ownership, and readiness to work in a greenfield environment where many solutions must be defined from scratch.

🚀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

The product we are working on is one of TOP-3 navigation systems, complex web-services and other solutions related to it. The web and mobile apps handle information at massive scale and extend well beyond the search giving people and companies a lot of new useful options.

As a Data Science Infrastructure Software Engineer, you will play a high-impact role within a small, efficient team dedicated to bridging the gap between Engineering and Data Science. Your work will focus on building cutting-edge Generative AI infrastructures and frameworks that significantly boost productivity across the whole product. You will develop tools that bring engineering rigor to data science workflows, solving complex problems in the GenAI space that the market has yet to crack. This is a high-impact role in a small team. You will be working alongside talented engineers and data scientists to build productivity-defining products for the next generation of the application.

Responsibilities:

• GenAI Development: Design, develop, and maintain features for our GenAI analytics agent (DataWhiz) that serve the entire organization for complex data analytical inquiries.
• Framework Optimization: Improve and scale the internal GenAI framework, including fixing bugs and optimizing the core engine for performance and reliability.
• UI/UX Enhancement: Build and implement new UI features for the GenAI chat interface to ensure a seamless experience for internal stakeholders.
• Cross-Functional Collaboration: Partner with development, product, and UX teams to define product requirements, while collaborating with core platform engineers to ensure infrastructure alignment.

• Engineering Excellence: Bridge the gap between Engineering and Data Science by applying software engineering best practices (code reviews, CI/CD, scalability) to DS workflows.

   

Requirements:

• Location in Warsaw
• 5+ years of experience in software development, with a focus on infrastructure or data-centric applications.
• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• Strong proficiency in Python and a solid understanding of backend architecture.
• Experience with SQL and the ability to handle complex data structures.
• Problem-Solving: Ability to write clean, abstract, and maintainable code for a rapidly evolving GenAI landscape.
• Communication: Excellent communication skills for collaborating with geographically distributed teams and translating data science needs into technical requirements.

• Fluency in English.

   

Nice to have:

• Generative AI Expertise: Familiarity with LLM orchestration frameworks, prompt engineering, or vector databases.
• Polyglot Programming: Experience with Kotlin, Java, Bash, or HCL (Terraform).
• Frontend Interest: Experience building chat interfaces or data visualization dashboards.

• Large-Scale Systems: Experience working on large-scale infrastructure that serves a diverse range of internal or external users.

   

We offer:

• Opportunities to develop in various areas;
• Compensation package (20 paid vacation days, paid sick leaves);
• Flexible working hours;
• Medical Insurance;
• English courses with a native speaker, yoga (zoom);
• Paid tech training and other activities for professional growth;
• Hybrid work mode (∼3 days in the office);
• International business trips

• Comfortable office.

   

If your qualifications and experience match the requirements of the position, our recruitment team will reach out to you in a week maximum. Please rest assured that we carefully consider each candidate, but due to the amount of applications the review and further processing of your candidacy may take some time.

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).

We are looking for a Senior AI/Machine Learning Engineer to join a healthcare project from the Netherlands focused on simplifying preparation for orthopedic surgeries. The product uses artificial intelligence to automatically analyze 3D images of the skeletal system and support surgical planning. In this role, you will focus on continuing and improving the X3D pipeline (X-ray to 3D bone reconstruction) and integrating it into the web application.
 

Requirements:
— 5+ years of commercial experience in Machine Learning/AI engineering.
— Proven commercial experience working on medical imaging or healthcare-related projects is a must.
— Strong experience with PyTorch and deep learning model training, evaluation, and optimization.
— Solid background in medical image analysis (CT, X-ray) and/or 3D computer vision.
— Strong understanding of image processing fundamentals, including registration, segmentation, and data augmentation techniques.
— Familiarity with GAN architectures (Pix2Pix, CycleGAN) and encoder-decoder networks.
— Experience working with medical imaging file formats (NIfTI, DICOM).
— Ability to read and implement techniques from research papers.
— Proficiency in Python and scientific computing libraries (NumPy, SciPy, SimpleITK or similar).
— Self-directed and independent working style with the ability to effectively collaborate under technical guidance.
— Upper-Intermediate or higher level of English (spoken and written).

Nice to have:
— Experience with 3D shape reconstruction or 3D mesh processing.
— Familiarity with DRR generation from CT volumes.
— Experience with Azure ML or similar cloud ML platforms.
— Background in orthopedic or musculoskeletal imaging.
— Experience in a medical device or regulated environment (FDA, CE).

Responsibilities:
— Improve and extend the existing X3D pipeline for X-ray to 3D bone reconstruction.
— Design, train, evaluate, and optimize deep learning models for medical image analysis and 3D reconstruction tasks.
— Work with medical imaging data (CT, X-ray, DICOM, NIfTI) and implement preprocessing, augmentation, segmentation, and registration techniques.
— Research, prototype, and implement new approaches from academic papers and industry best practices.
— Integrate machine learning solutions into the web application and support deployment workflows.
— Collaborate closely with the Head of Engineering to further develop and productionize the existing AI pipeline.
— Maintain code quality through testing, documentation, and continuous improvement of ML infrastructure and development processes.

Interview stages:
— HR interview (30 minutes).
— Technical interview (1 hour).
— Interview with the customer (1 hour).
— Job offer 🎉🎉🎉

We offer:
— Competitive salary.
— Challenging tasks and projects.
— Opportunities for professional development and growth.
— Flexible working hours.
— New hardware.
— Free English lessons.
— Table tennis and yoga classes.
— Availability of generators and Starlinks in the office.
— Small gym in the office.
— Adjustable height tables.
— Regular office fruit delivery and other benefits.

Let’s create value together!

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 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

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++