Jobs Data Science

We're an R&D team working on autonomous navigation - the kind of work where your algorithms actually get deployed in the real world, on real hardware. 

We're looking for someone who can drive computer vision forward on our platform, not just contribute to it. 

No fluff, no bureaucracy theater. Just hard problems and people serious about solving them.

What you'll work on

• Lead the design, development, and optimization of CV algorithms for localization, mapping, and navigation - this is your area to own.
• Develop and implement algorithms for things like object detection, segmentation, SLAM, 3D scene reconstruction, visual odometry, and sensor fusion (cameras, LiDAR, IMUs).
• Integrate CV modules with navigation and control systems so they actually hold up in the real world, not just in simulation.
• Work closely with software, hardware, and product teams to define requirements and ship robust, scalable navigation solutions.
• Stay on top of deep learning and robotics research - and bring the relevant pieces into the product.
• Design experiments, analyze results, iterate. Repeat until it works well.
• Write clear technical documentation and share progress with both internal teams and external stakeholders.

What we're looking for

• 5+ years working in computer vision, ideally in navigation, robotics, or autonomous systems.
• A track record of building and shipping real-time vision algorithms - detection, segmentation, tracking, or navigation, not just research prototypes.
• Hands-on experience deploying and optimizing models for edge devices.
• Master's or PhD in Computer Science, Robotics, Electrical Engineering, or something closely related.
• Strong Python and/or C++ skills.
• Comfortable with PyTorch or TensorFlow, and familiar with OpenCV for classical CV work.
• You can break down hard problems, communicate your thinking clearly, and don't need much hand-holding.

Nice to have

• Knowledge of SLAM and related models.
• Familiarity with MAVLink, ArduPilot, or PX4.
• Publications or open-source contributions in vision or robotics — always a good sign.

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.

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

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.

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

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

Almus is looking for a Data Scientist to join our Analytics team and build production-grade machine learning models that directly impact marketing and business performance.

You will work on end-to-end ML solutions, from data and features to deployment and monitoring, focusing on improving LTV prediction quality, optimizing ML-driven costs, and driving key metrics such as LTV, ROAS, retention, and CAC. This is an individual contributor role with strong ownership, close collaboration with Marketing, Product, and Data teams, and a clear focus on real business impact.

Apply to join Almus and take ownership of high-impact data initiatives!

Responsibilities

• Design, develop, and deploy machine learning models to production
• Improve product and business decision-making through data-driven approaches
• Build and evolve end-to-end ML pipelines (data → features → model → inference → monitoring)
• Drive measurable impact on key product and commercial metrics
• Standardize ML approaches within the team (best practices, documentation, reproducibility)
• Provide technical input to the architecture of analytics and ML infrastructure
• Develop and deploy models that drive growth in LTV, ROAS, retention, and CAC
• Influence performance and lifecycle marketing strategy
• Act as a domain expert and collaborate closely with Marketing, Product, and Data Engineering teams

What We Look For

• 3+ years of experience as a Data Scientist / ML Engineer
• Experience working with mobile subscription-based products
• Strong Python skills (production-level code)
• Solid knowledge of classical machine learning algorithms and practical experience applying them
• Experience with feature engineering, model evaluation, and bias–variance trade-offs
• Hands-on experience with marketing models such as LTV, churn, cohort, and funnel modeling
• Experience with attribution, incrementality, and uplift modeling
• Strong SQL skills and experience working with analytical datasets
• Experience with production ML systems and A/B testing

• English level: Intermediate+

   

Nice to have

• Experience with BigQuery
• MLOps experience (Docker, CI/CD, model registres)
• Experience working with performance marketing data (Meta, Google Ads, Adjust)
• Knowledge of causal inference

• Experience with AutoML and Bayesian models

   

We Offer

• Exciting challenges and growth prospects together with an international company
• High decision-making speed and diverse projects
• Flexibility in approaches, no processes for the sake of processes
• Effective and friendly communication at any level
• Highly competitive compensation package that recognizes your expertise and experience, Performance Review practice to exchange feedback and discuss terms of cooperation
• Flexible schedule, opportunity to work in a stylish and comfortable office or remotely
• Respect for work-life balance (holidays, sick days - of course)
• Bright corporate events and gifts for employees
• Additional medical insurance
• Compensation for specialized training and conference attendance
• Restaurant lunches at the company's expense for those working in the office, endless supplies of delicious food all year round
   

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv — you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

Join PwC Slovakia as a Junior AI Engineer, where you’ll have the opportunity to grow your skills and contribute to AI and data science solutions for leading global clients. This role is designed for developers and engineers who want to build, integrate, and deploy machine learning systems and data-driven applications. We are looking for candidates who enjoy coding in Python, working with data, and turning ideas into reliable, scalable solutions.

Project you could be involved in:

• Natural Language Data Exploration: Develop dashboards powered by AI for intuitive business data analysis.
• Document Interaction: Design tools enabling seamless interaction with unstructured and structured text documents.
• Knowledge Assistant: Implement ERP transformation with AI-powered tools to resolve employee inquiries efficiently.
• Agricultural Monitoring: Utilize Computer Vision for analyzing satellite imagery on a large scale.
• Automated Reconciliation: Create systems to identify anomalous transactions in accounting ledgers.

What You’ll Do:

• Project Participation: Participate in AI and data science projects from conception to deployment, contributing to solution design and supporting timely delivery of assigned tasks.
• Solution Development: Support the development of AI and ML solutions with a strong focus on Python-based implementation, working across areas such as Large Language Models (LLMs), RAG, classical machine learning and data analysis.
• Learning & Development: Continuously develop technical skills by following AI and data science trends, learning new approaches, and contributing to improvements of existing solutions and processes.

What We’re Looking For:

• Programming Skills (Key Requirement): Solid programming skills in Python (e.g. pandas, numpy, scikit-learn, plotly). Ability to write and understand code is essential. Experience with other programming languages is a plus.
• AI/ML Background: Hands‑on academic, project, or entry‑level experience with machine learning, data science, NLP, Computer Vision, or Generative AI (LLMs, RAG). The focus is on building or implementing solutions, not only using AI tools. Strong foundations in statistics and ML fundamentals are valued.
• Databases: Basic experience with SQL databases; familiarity with NoSQL databases is an advantage.
• Analytical Thinking: Strong analytical mindset with the ability to approach problems logically and creatively.
• Independence & Responsibility: Ability to work independently on assigned tasks and deliver results with guidance when needed.
• Language Skills: Fluent in English (B2 level or higher).

Policy statements:
www.pwc.com/ua/uk/about/privacy.html

We are looking for a Lead Data Scientist who goes beyond building models and actively drives product and business impact. In this role, you’ll combine strong ML expertise, technical leadership, and a product mindset to deliver scalable, high-impact solutions. You will play a key role not only in what we build, but also in how we build it - shaping processes, standards, and delivery efficiency.

Responsibilities

Work closely with product and business teams to translate business challenges into data science solutions and research
Define clear success metrics and KPIs
Turn data insights into actionable recommendations
Ensure models deliver real business impact, not just technical performance
Design, build, and deploy machine learning solutions such as churn prediction, LTV modeling, player segmentation, and uplift modeling, owning the full lifecycle from experimentation to production
Establish and improve team processes, including end-to-end model lifecycle, code quality, documentation, reproducibility, and experimentation frameworks
Improve delivery efficiency by reducing time from idea to production and identifying opportunities to automate analytical workflows using AI and machine learning

Requirements5+ years of experience in Data Science, preferably in tech or gaming
Degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Economics
Analytical mindset with the ability to translate data into business insights
Experience working with large-scale data tools such as BigQuery, Spark, or Hive
Advanced SQL skills
Strong Python skills for data analysis and modeling
Experience with data visualization tools such as Tableau, Power BI, or Python libraries
Understanding of statistics and experimentation including A/B testing, hypothesis testing, and confidence intervals
Familiarity with causal inference techniques and predictive modeling
English level B2+
 

Nice to Have

Experience in iGaming
Understanding of player behavior and slot game mechanics
Strong product mindset with the ability to propose impactful solutions

Benefits

Opportunity to shape meaningful data products and influence business outcomes
25 vacation days, 15 sick days, and birthday leave
Budget for English classes and professional development
Health insurance budget
Remote-friendly culture with a small, high-impact team

We are looking for a Autonomy Engineer to work on autonomous systems with a focus on computer vision, control theory, and data-driven modeling. This role is ideal for someone with strong analytical skills and experience applying data science to real-world autonomy or robotics problems.

Key Responsibilities

• Develop vision-based algorithms for perception and navigation.
• Work on data analysis and sensor fusion for multi-sensor systems.
• Build models and simulations to support system development and testing.
• Process and analyze datasets from cameras, IMUs, and other sensors to improve autonomy performance.
• Collaborate with robotics and software engineers on perception and navigation pipelines.
• Stay up to date with recent research in computer vision, autonomy, and data science.

Required Qualifications

• 2+ years of experience in data science, robotics, computer vision, or a related field.
• Knowledge of control theory, PID controllers, signal processing, and data-driven modeling.
• Understanding of geometric computer vision principles.
• Strong programming skills in Python and good working knowledge of C++.
• Experience working with Linux-based systems.
• Degree in Computer Science, Robotics, Engineering, Mathematics, or another STEM field (or equivalent practical experience).

Nice to Have

• Experience with SLAM or Visual-Inertial Odometry (VIO).
• Familiarity with OpenCV, NumPy, and ML frameworks such as PyTorch or TensorFlow.
• Experience with ROS2, Gazebo, or AirSim.
• Experience with PX4, Betaflight, or ArduPilot.
• Understanding of neural networks for computer vision.
• Interest in reinforcement learning or predictive modeling.

DeepX is looking for a Computer Vision Engineer to develop high-precision 3D reconstruction systems based on polarization imaging.

In this role, you will work at the intersection of computer vision, optical physics, and geometry, building algorithms that extract detailed surface information from polarimetric data using Shape-from-Polarization (SfP) techniques.

Core requirements:

● Strong understanding of polarized light physics and Stokes vector representation;

● Solid knowledge of linear algebra and vector calculus for coordinate transformations and 3D geometry;

● Experience implementing algorithms in Python (NumPy, SciPy);

● Practical experience with computer vision libraries such as OpenCV or scikit-image;

● Ability to extract reliable signals from noisy imaging data.

Nice to have:

● Experience with Shape-from-Polarization (SfP) or other Shape-from-X methods;

● Understanding of surface normals, depth maps, and 3D reconstruction pipelines;

● Experience working with polarization cameras;

● Knowledge of light reflection and scattering on different materials;

● Experience with normal integration methods for surface reconstruction.