Jobs

At NeverEnding, we create games that truly hook players — and we’re now looking for a Game Mathematician to help us design mechanics that bring both fun to players and profit to the business.

This role is for someone who wants to build new games from scratch, work across different genres (slots, instant, crash), and influence every number that appears in the game.

What you’ll do:

• Design game mathematics: RTP, volatilities, hit frequency, distribution curves.
• Develop mathematical models for slot, instant, and crash games.
• Write simulations and analyze results to ensure proper game balance.
• Collaborate closely with game designers, artists, product managers, and developers to create a cohesive gameplay experience.
• Identify technical constraints, risks, and find solutions early at the concept stage.

What we expect from you:

• 3+ years of experience in game math or game design with a strong mathematical focus.
• Solid understanding of slot mechanics, RTP, volatility, and bonus systems.
• Proficiency in Excel / Google Sheets and knowledge of TypeScript or C# for running simulations.
• Experience balancing payout tables and free spins is a big plus.
• English — C1 (Advanced).
• Strong analytical thinking, attention to detail, and the ability to simplify complex systems.

We’re looking for someone who:

• Thinks like a player, but reasons like an analyst.
• Can build models that serve both gameplay and business goals.
• Wants to work on new ideas, not copy existing features.
• Loves numbers, experiments, and challenges.

Why join NeverEnding?

• Work from scratch on the company’s first games.
• Influence the development of the game portfolio and math direction.
• Direct collaboration with founders and the product team.
• Flexibility, speed, and plenty of creative freedom.
• A startup with the ambition to become a next-generation game provider.

📍 Format: Remote / Hybrid — up to you

🕐 Full-time: 40 hours/week, 5/2 schedule

💰 Salary: Competitive, negotiable
 

Tech stack: Mathematics, Probability & Statistics, Game Mechanics, Excel/Google Sheets, TypeScript or C#

You’ll join our Marketing Science team to build, run, and explain econometric & causal models that quantify the impact of media and non-media drivers on business outcomes. Day-to-day you’ll own MMM pipelines (from data ingestion to reporting), run incrementality tests, and turn results into budget/flighting recommendations that marketers can act on. 

Key responsibilities 

• MMM development & maintenance: specify and fit models (adstock, saturation, carryover; hierarchical/Bayesian variants), manage feature engineering, priors, diagnostics, and retraining cadence. 
• Causal measurement: design & analyze geo-tests and holdouts. 
• Optimization & scenarioing: deliver budget allocation and “what-if” tools; communicate trade-offs, constraints, and uncertainty. 
• Stakeholder enablement: translate model outputs for marketers, and media planners; produce concise decks/dashboards with clear recommendations. 
• Documentation & governance: maintain modeling playbooks, data dictionaries, and QA checklists; ensure reproducibility and ethical use of data. 
• Readiness to work from 15:00 till 23:00 in order to have an optimal overlap of work hours with USA based teams.

Qualifications 

• Solid statistics/econometrics foundation (regression, time series, regularization; basics of Bayesian inference). 
• Comfortable in Python (pandas, numpy, statsmodels / scikit-learn); SQL for joins/aggregations; Git. 
• Ability to clean/validate messy marketing data and communicate results in clear visuals (Plotly/Matplotlib, Tableau/Looker Studio). 
• English B2+ for async docs and client-facing calls. 

Nice to have 

• Experience with marketing/media planning concepts (reach/frequency, flighting, creative wear-out). 
• Cloud familiarity (GCP/AWS), containerization, CI. 
• Forecasting (SARIMAX/ETS), gradient boosting (XGBoost/LightGBM), uplift modeling. 
• Privacy-preserving measurement patterns. 
• Bayesian tools (PyMC/Stan) and MMM libraries (e.g., Meta’s Robyn, LightweightMMM. 
• Experience shipping schedulable pipelines (Airflow/dbt) and working in BigQuery/Snowflake/Postgres. 

We offer

• Medical insurance after the trial period ending;
• Team-building activities;
• 24 paid vacation days per year;
• 5 paid sick leave days per year.

We are seeking an experienced Shiny Application Developer who can translate design concepts into interactive, production-ready Shiny applications. The ideal candidate combines strong R programming skills with experience in UI customization and advanced Shiny patterns, including state management, modular design, and extending Shiny with JavaScript when necessary. 

Responsibilities

• Build high-quality Shiny applications directly from Figma wireframes and design specifications.
• Implement custom UI components within Shiny using CSS and light JavaScript for R (e.g., custom input/output bindings, small DOM manipulations, htmlwidgets).
• Create or extend htmlwidgets to support bespoke visualizations and interactivity.
• Design and manage application state using R6 classes and modular Shiny architecture.
• Develop applications with complex interactive behaviors, such as:
  • Cross-component reactivity and communication
  • Persistent state management
  • Dynamic filtering, drilldowns, and user-driven exploration
• Ensure application performance, testing, and reliability in production environments.
• Collaborate closely with designers, analysts, and product stakeholders to deliver polished applications.

Qualifications

• Proven experience developing advanced Shiny applications from wireframes or design specs.
• Strong knowledge of R, Shiny, and reactive programming.
• Proficiency with custom HTML and CSS styling in Shiny to deliver applications that match Figma/UX specifications.
• Familiarity with bslib and Bootstrap 5, including creating custom modals, waiters, and tooltips.
• Practical experience with JavaScript in the Shiny context:
  • Writing or modifying custom input/output bindings
  • Enhancing reactivity via shinyjs or htmlwidgets
  • Extending Shiny with lightweight JS code where necessary
• Experience using R6 classes for state management and encapsulating business logic.
• Familiarity with advanced Shiny practices, including modular design, async operations, and bookmarking/session state.
• Knowledge of testing frameworks (e.g., shinytest2, testthat) 
• Git for version control
• Bonus: Experience with performance tuning (caching, async), deployment (Shiny Server / Posit Connect / Docker), or integration with APIs and databases.

What Do We Offer?

• Remote-first work environment with flexible hours.
• Access to professional development resources: courses, workshops, and certifications.
• A supportive, inclusive team culture that encourages innovation and open communication.
• Competitive salary with annual market-based adjustments and performance-based bonuses.
• Comprehensive health insurance and wellness benefits.
• The latest tools, hardware, and software needed to do your best work.
• Possible army reservation based on internal queue

Responsibilities: 

1. Develop and implement advanced machine learning models and statistical algorithms to solve business problems and improve decision-making.
2. Perform exploratory data analysis to identify trends, patterns, and opportunities within large datasets.
3. Collaborate with stakeholders to understand business objectives and translate them into data-driven solutions.
4. Mentor and guide junior data scientists and data analysts, fostering a culture of continuous learning and innovation.
5. Developing processes and tools to cross-validate data.
6. Database management (create automated tools for data structuring, including data cleansing and validation)
7. Development of algorithms for natural language processing
8. Testing and improving existing algorithms
9. Developing custom data models and forecasting algorithms and their validation.
10. Working with advanced data visualization tools, including Chat-GPT Code Interpreter, Power BI, and in-house development tools.
11. Work closely with other teams to monitor the quality of models implementation for commercial use.
12. Documentation and reports preparation for clients and management.
13. Excellent organizational and time management skills, with the ability to prioritize tasks effectively.
14. Implement data preparation and feature engineering pipelines for the models
15. Plan and implement algorithms for predictive modeling.
16. Provide continuous improvement of models in production

Qualifications:

1. Master or higher degree in Physics, Mathematics, Statistics, Quantitative Finance, Computer Science, or another quantitative field.
2. Strong problem-solving skills with an emphasis on research product development.
3. Experience working with and creating data architectures.
4. Experience with a variety of machine learning and deep learning techniques and understanding of their limitations.
5. Advanced knowledge of Python (SciPy, NumPy, Pandas, TensorFlow), and 1 year of experience in advanced NLP algorithms is a huge plus.
6. Good written and verbal English for coordinating across teams and reports preparation.
7. Desire to know more about new technologies and research prospective markets.

About us:

We are Data Science UA, a fast-growing IT service company. We are proud of developing the Data Science community in Ukraine for more than 6 years. Data Science UA unites all researchers, engineers, and developers around Data Science and related areas. We conduct events on machine learning, computer vision, intelligence, information science, and the use of artificial intelligence for business in various fields.

About product:

This is an intelligent video analytics platform designed to automate the process of learning and generating contextual insights from unstructured data inside video footage. The company’s platform uses artificial intelligence built on proprietary machine comprehension services that can contextually understand the content of users’ data, enabling clients to provide contextual advertisements and product recommendations to provide a personalized experience for users.

They have developed and deployed a computer vision system for industrial procedure monitoring which involves multiple cameras, on-prem servers with multiple GPUs, and a cloud component on AWS cloud. The system is installed in 3 countries, and we have new customers all over the world.

About the role:

We are looking for an experienced Junior (or Junior/Middle) Data Annotator who will work closely with engineers in the tasks of creating datasets for training neural networks.

Requirements:

— Minimum of a Bachelor's Degree in Computer Science or related field.

— Ability to remain attentive during long, monotonous work.

— Ability to perform tasks according to requirements.

— English - Intermediate and above.

— High level of communication skills.

— Prior annotation experience.

— Familiarity with data annotation tools, methods and processes.

— Familiarity with Confluence, Jira and Google Services (Docs, Sheets, Slides, Drive).

Responsibilities:

— Image annotation (object detection annotation, segmentation annotation), with high accuracy according to the rules of the task, using a special annotation tool.

— Sorting images by specified conditions.

— Achieving required KPIs of performance and quality.

We offer:

— Possibility to make an impact on product from scratch;

— Competitive salary and perks;

— Working with cutting-edge technologies;

— Friendly team and nice environment;

— A positive atmosphere all over the company.

You will work closely with the founding team and greatly impact the direction of the products and the company. If you’re interested in joining our new R&D team, please let us know about yourself.

The primary goal of the project is the modernization, maintenance and development of an eCommerce platform for a big US-based retail company, serving millions of omnichannel customers each week.
Solutions are delivered by several Product Teams focused on different domains - Customer, Loyalty, Search and Browse, Data Integration, Cart.
Current overriding priorities are new brands onboarding, re-architecture, database migrations, migration of microservices to a unified cloud-native solution without any disruption to business.

• Responsibilities:

  We are looking for an experienced Data Engineer with Machine Learning expertise and good understanding of search engines, to work on the following:
  - Design, develop, and optimize semantic and vector-based search solutions leveraging Lucene/Solr and modern embeddings.
  - Apply machine learning, deep learning, and natural language processing techniques to improve search relevance and ranking.
  - Develop scalable data pipelines and APIs for indexing, retrieval, and model inference.
  - Integrate ML models and search capabilities into production systems.
  - Evaluate, fine-tune, and monitor search performance metrics.
  - Collaborate with software engineers, data engineers, and product teams to translate business needs into technical implementations.
  - Stay current with advancements in search technologies, LLMs, and semantic retrieval frameworks.

• Mandatory Skills Description:

  - 5+ years of experience in Data Science or Machine Learning Engineering, with a focus on Information Retrieval or Semantic Search.
  - Strong programming experience in both Java and Python (production-level code, not just prototyping).
  - Deep knowledge of Lucene, Apache Solr, or Elasticsearch (indexing, query tuning, analyzers, scoring models).
  - Experience with Vector Databases, Embeddings, and Semantic Search techniques.
  - Strong understanding of NLP techniques (tokenization, embeddings, transformers, etc.).
  - Experience deploying and maintaining ML/search systems in production.
  - Solid understanding of software engineering best practices (CI/CD, testing, version control, code review).

• Nice-to-Have Skills Description:

  - Experience of work in distributed teams, with US customers
  - Experience with LLMs, RAG pipelines, and vector retrieval frameworks.
  - Knowledge of Spring Boot, FastAPI, or similar backend frameworks.
  - Familiarity with Kubernetes, Docker, and cloud platforms (AWS/Azure/GCP).
  - Experience with MLOps and model monitoring tools.
  - Contributions to open-source search or ML projects.

Ready to level up your career?

Our innovative BI unit is looking for a passionate Machine Learning Engineer to join the team. If you thrive on working with cutting-edge technologies and are eager to enhance our systems, we want to hear from you. Join us to drive impactful projects in a dynamic and forward-thinking environment.

Your influential mission. You will...

• Develop production data science applications in Python, end to end.
• Design and develop new AI services from scratch.
• Maintain and enhance current data science pipelines in complex high-load applications.
• Collaborate closely with R&D and DevOps teams.
• Research, invent and adapt machine learning algorithms for dedicated business needs.
• Perform predictive and statistical modelling.
• Perform ad-hoc analyses as required.

Components for success. You...

• Bring a minimum of 3 years of experience as a Python developer (including familiarity with PyCharm, git, and debugging).
• Possess a minimum of 3 years of experience in predictive modeling, preferably within data science production services.
• Have at least 3 years of experience in tabular or time series data analysis in a data developer, data scientist, or data analyst role.
• Demonstrate proficiency in SQL for data manipulation and visualization.
• Are a strong team player, with excellent communication skills, capable of working collaboratively in a remote environment.
• Have a high level of English proficiency.
• Hold a Bachelor's degree in Engineering, Economics, Mathematics, Statistics, or similar.

You'll get extra points for...

• Experience in REST API and cloud deployment.
• Knowledge of AWS or GCP.
• Master's degree in Engineering, Economics, Mathematics, Statistics, or similar.
• Having experience in direct communication with business.

Thrive in a culture that values...

• Engaged User Experiences - We develop personalized recommendations and churn mitigation strategies to keep users coming back for more.
• Data-Driven Decision Making -  We generate insightful reports to empower informed decisions across the organization.
• Cutting-Edge Technologies -  We're constantly exploring and integrating new technologies to enhance our capabilities.
• Responsible Development - We prioritize responsible user experiences through innovative solutions.

AI Unit
We're an innovative team designing and developing AI-powered services to fit complex business needs in the constantly evolving gaming market. We're passionate about pushing the limits and creating unique solutions with a big positive impact.

Join us and be a part of the future!

About Us

Redvike is a boutique software development agency. We are working with rapidly growing companies in real estate, education and banking. We help our partners to build their digital business from an idea to revenue generating products. As we grow, we are excited to welcome new members to our talented team that will help us in building new technological solutions.

Product details:

The product redefines the future of technology by harnessing the transformative power of artificial intelligence. As a cutting-edge AI solutions provider, its mission is to empower businesses to make smarter decisions, optimize operations, and unlock new avenues for growth through innovative, data-driven insights.

It specializes in developing scalable AI and machine learning solutions that integrate seamlessly into modern infrastructures. A dynamic team of experts is dedicated to pushing the boundaries of what’s possible, ensuring that clients stay ahead in an ever-evolving digital landscape. Innovation, collaboration, and excellence are at the core of every process.

 

Job Description:

We are looking for an experienced Data Scientist to join our growing team. This role is highly focused on Machine Learning (ML) tasks, including model development, feature engineering, and algorithm selection. You will work with large datasets, fine-tune models for domain-specific applications, and implement GenAIOps best practices for AI model operations.

This is an exciting opportunity to lead AI-driven initiatives, explore data to generate insights, and contribute to the development of one of the best AI-powered sales agents in the market.

Key Responsibilities:

• Analyze large datasets to identify trends and insights that improve product performance.
• Develop, train, and optimize ML models and algorithms for real-world applications.Define and build meaningful features that enhance model accuracy and relevance.
• Apply statistical methods such as A/B testing and hypothesis testing to validate results.
• Collaborate with engineering and product teams to deploy and maintain models in production.
• Monitor, evaluate, and continuously improve model performance.

• Communicate key findings and results in a clear, practical way to technical and non-technical stakeholders.

   

Required Qualifications:

• 3+ years of experience in data science or analytics, delivering ML-based solutions.
• Strong background in machine learning (model development, feature engineering, algorithm selection).
• Solid understanding of statistics and experimentation.
• Proficiency in Python (Pandas, NumPy, scikit-learn) and ML frameworks (PyTorch or TensorFlow).
• Experience with cloud platforms (AWS preferred) and deploying ML models at scale.
• Familiarity with SQL or data processing tools (Spark, etc.).

• Bonus: MSc/PhD in a related field, experience with big data tech, MLOps/GenAIOps, NLP, or computer vision.

   

What We Offer

• Impact: Work on innovative projects that push the boundaries of data-driven technology.
• Culture: Join a collaborative, inclusive environment where your ideas are valued.
• Growth: Opportunity for contract extension and long-term career advancement based on performance.
• Flexibility: Enjoy the benefits of a fully remote work setup while being part of a dynamic and supportive team.

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:

Our client is a leading SaaS company offering pricing optimization solutions for e-commerce businesses. Its advanced technology utilizes big data, machine learning, and AI to assist customers in optimizing their pricing strategies and maximizing their profits.

About the Role:

As a Data Scientist you’ll play a critical role in shaping and enhancing our AI-driven pricing platform. 

Key Responsibilities:

• Develop and Optimize Advanced ML Models: Build, improve, and deploy machine learning and statistical models for forecasting demand, analyzing price elasticities, and recommending optimal pricing strategies.
• Lead End-to-End Data Science Projects: Own your projects fully, from conceptualization and experimentation through production deployment, monitoring, and iterative improvement.
• Innovate with Generative and Predictive AI Solutions: Leverage state-of-the-art generative and predictive modeling techniques to automate complex pricing scenarios and adapt to rapidly changing market dynamics.

Required Competence and Skills:

• A Master’s or PhD in Computer Science, Physics, Applied Mathematics or a related field, demonstrating a strong foundation in analytical thinking.
• At least 5 years of professional experience in end-to-end machine learning lifecycle (design, development, deployment, and monitoring).
• At least 5 years of professional experience with Python development, including OOP, writing production-grade code, testing, and optimization.
• At least 5 years of experience with data mining, statistical analysis, and effective data visualization techniques.
• Deep familiarity with modern ML/DL methods and frameworks (e.g., PyTorch, XGBoost, scikit-learn, statsmodels).
• Strong analytical skills combined with practical experience interpreting model outputs to drive business decisions.

Nice-to-Have:

• Practical knowledge of SQL and experience with large-scale data systems like Hadoop or Spark.
• Familiarity with MLOps tools and practices (CI/CD, model monitoring, data version control).
• Experience in reinforcement learning and Monte-Carlo methods.
• A solid grasp of microeconomic principles, including supply and demand dynamics, price elasticity, as well as econometrics.
• Experience with cloud services and platforms, preferably AWS.

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 JustAnswer’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.

Join MGID as a Data Scientist and become part of a team shaping the future of AdTech!
If you thrive on analyzing data, uncovering hidden patterns, and transforming insights into powerful solutions, this is your chance. We develop cutting-edge algorithms that drive the success of CPA  campaigns by achieving target metrics, increasing conversion volume, and maximizing budget efficiency. 

What You Will Do:

• Data Analysis: Explore data to identify trends, evaluate campaign performance, and support decision-making.
• Algorithm Development: Design, implement, and optimize algorithms for CPA optimization.
• Modeling and Optimization: Build and refine predictive models to improve decisions for CPA campaigns, ensuring alignment with business objectives.
• Stakeholder Collaboration: Work closely with product/business teams to translate technical solutions into measurable business impact.
• Experimentation and Validation: Conduct and evaluate A/B tests to assess the impact of algorithm changes.
• Visualization and Reporting: Create dashboards and visualizations to track key performance indicators (KPIs) and communicate findings to stakeholders.

Who You Are:

• Proactive problem-solving attitude: ability to independently analyze data, identify hidden issues, formulate hypotheses, suggest effective solutions, develop and test them.
• Ability to analyze and deeply explore data to extract valuable insights; ability to visualize and communicate those insights.
• Proven experience in data science, with a strong understanding of optimization problems.
• Proficiency in Python and SQL, including data manipulation and feature engineering.
• Expertise in machine learning techniques and tools (e.g., CatBoost, XGBoost, TensorFlow, PyTorch, scikit-learn).
• English - Upper-Intermediate.

Will be a plus:

• The ideal candidate holds a MSc or PhD in Engineering, Statistics, Mathematics or related fields
• Familiarity with the AdTech domain.
• Experience with big data technologies (Spark, Hadoop) and processing large datasets.
• Hands-on experience with A/B testing and business metric optimization.
• Background in working with high-frequency or large-scale event data (e.g., 15B+ events daily).

 Computer Vision Engineer (3D Reconstruction)

DeepX

DeepX is on a mission to push the boundaries of 3D perception. We’re looking for an experienced Computer Vision Engineer  (3D Reconstruction) who lives and breathes reconstruction pipelines, thrives on geometry challenges, and wants to architect systems that redefine how machines see the world.

This is not a plug-and-play role. You’ll be building the core reconstruction engine that powers our vision products - designing a modular, blazing-fast pipeline where algorithms can be swapped in and out like precision-tuned gears. Think COLMAP on steroids, fused with neural rendering, and optimized for scale.

    Core Tech Stack:

• Languages: C++, Python
• CV/3D Libraries: OpenCV, Open3D, PCL, COLMAP
• Math/Utils: NumPy, Eigen
• Visualization: Plotly, Matplotlib
• Deep Learning: PyTorch, TensorFlow

• Data: Point clouds, meshes, multi-view image sets.
   

  Desired Expertise: 

• Core Expertise: Deep, hands-on knowledge of 3D computer vision fundamentals, including projective geometry, triangulation, transformations, and camera models.
• Algorithm Mastery: Proven experience with point cloud and mesh processing algorithms, such as ICP for registration and refinement.
• Development Experience: Strong software engineering skills, primarily in a Linux environment. Experience deploying applications on Windows (or via WSL) is a major plus.
• Data Handling: Experience managing and analyzing the large datasets typical in 3D reconstruction.
  Projective Geometry Mastery: Camera models, projections, triangulation, multi-sensor fusion.
• Transformations: Rotations, quaternions, coordinate system conversions, 3D frame manipulations.
• SfM & MVS: Proven hands-on with pipelines and dense reconstructions.
• SLAM: Bundle adjustment, pose graph optimization, loop closure.
• Code Craft: Strong software engineering chops - designing modular, performant, production-grade systems.
• Visualization: Proficiency with 3D visualization tools and libraries (e.g., OpenGL, Blender scripting) for rendering and debugging point clouds and meshes.

• Bonus Points:
  - You’ve built a full 3D reconstruction pipeline from scratch.

  - Hands-on with Gaussian Splatting or NeRFs.

  - Experience with SuperGlue or other state-of-the-art feature matching models.

    - Hybrid reconstruction experience: fusing classical geometry      with neural methods.

   - Experience with real-time or streaming reconstruction systems.

   - Familiarity with emerging topics like 3D scene segmentation and the application of LLMs to geometric data.

What You’ll Do:

• End-to-End Pipeline Development: You will architect, build, and deploy a robust, high-performance 3D reconstruction pipeline from multi-view imagery. This includes owning and optimizing all core modules: feature detection, matching, camera pose estimation, SfM, dense stereo (MVS), and mesh/surface generation.
• System Architecture: Design a highly modular and scalable system that allows for interchangeable components, facilitating rapid A/B testing between classical geometric algorithms and modern neural approaches.
• Performance Optimization: Profile and optimize the entire pipeline for low-latency, real-time performance. This involves advanced GPU programming (CUDA/OpenCL), efficient memory management to handle large models, and leveraging modern compute frameworks.
• Research & Integration: Stay at the forefront of academic and industry research. You will be responsible for identifying, implementing, and integrating state-of-the-art methods in SLAM, neural rendering (NeRFs, 3DGS), and hybrid geometry-neural network models.

• Data Management: Develop solutions for handling, processing, and distributing large-scale image and 3D datasets (e.g., using tools like Rclone).
  
  Why Join DeepX?

  This is your chance to own a core engine at the frontier of 3D vision. You’ll be surrounded by a small but elite team, working on real-world deployments where your algorithms won’t just run in benchmarks - they’ll run in airports, mines, logistics hubs, and beyond. If you want your code to shape how machines perceive the world at scale, this is the place.

   

  Sounds like you? -> Let’s talk
  Send us your portfolio, GitHub, or projects - we love seeing real reconstructions more than polished CVs.

Client

Our client is a leading global travel agency network specializing in luxury and experiential journeys. They seek to develop a unified API framework that ensures secure, flexible, and seamless system integration.

As a Data Architect, you will design and implement scalable, secure, and high-performance data architectures that support business needs. You will leverage cloud platforms—particularly Azure Data Services—and data warehousing solutions such as Snowflake to build robust data pipelines, ensure data quality, and optimize data storage and processing. Collaborating closely with data engineers, analysts, and business stakeholders, you will translate complex requirements into effective technical solutions.

You will also define data standards and governance policies, lead data migration and modernization initiatives, and provide technical leadership and mentorship to the team. Your work will drive data-driven decision-making and enable the organization to efficiently manage and utilize its data assets.

Responsibilities

• Design and implement robust, scalable, and secure data architectures using Azure Data Services (e.g., Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake).
• Architect and optimize Snowflake data warehouses for performance, scalability, and cost-efficiency.
• Develop and maintain complex SQL and T-SQL scripts for data transformation, integration, and reporting.
• Collaborate with data engineers, analysts, and business stakeholders to translate business requirements into technical solutions.
• Define and enforce data architecture standards, best practices, and governance policies.
• Lead data migration and modernization initiatives from legacy systems to cloud-based platforms.
• Evaluate and recommend new tools, technologies, and frameworks to improve data infrastructure.
• Mentor junior team members and provide technical leadership across projects.

Requirements

• Azure Data Services (Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, Azure Data Lake Storage)
• Cloud Data Architecture & Design (especially Azure cloud)
• Snowflake Data Warehouse Design & Optimization
• Advanced SQL and T-SQL Programming
• Data Transformation & ETL/ELT Processes
• Data Integration Techniques
• Data Modeling (Star Schema, Snowflake Schema, Normalization & Denormalization)
• Technical Leadership and Mentorship
• Cross-Functional Collaboration with Business and Technical Teams
• Requirements Gathering and Technical Solution Design
• Documentation and Standardization of Data Architecture
• Problem Solving and Analytical Thinking
• Work schedule alignment till 5pm UTC -3 (exclusive)

About Digis
Digis is a European IT company with 200+ specialists delivering complex SaaS products, enterprise solutions, and AI-powered platforms worldwide. We ensure transparency, stability, and professional growth opportunities for all our team members.

About the Project
A next-generation simulation and analytics platform for industrial utilities, designed to transform real-time sensor data into operational insights. The platform combines live field input, statistical inference, and event data to deliver explainable recommendations that improve performance, reduce maintenance costs, and optimize resource usage.This is a high-impact ML project — early-stage, research-driven, and focused on solving real engineering challenges, not just building LLM-based prototypes. You’ll join as a founding technical contributor and have long-term ownership over the analytics layer and modeling strategy.

Stack
Python, ML frameworks (PyTorch, TensorFlow, scikit-learn)
Data analytics & simulation tools, sensor data pipelines

Requirements

• 5+ years of commercial experience with Python and modern ML frameworks (PyTorch/TensorFlow/scikit-learn).
• 2+ years of experience building and operating production ML pipelines.
• 2+ years of experience with physics-informed or hybrid models and/or asset reliability analytics.
• Hands-on experience with time-series sensor data (anomaly detection, failure prediction).
• Experience in water networks or similar process industries (highly desirable).
• English level: Upper-Intermediate+

Responsibilities

• Lead the design and development of physics-informed and stochastic models for asset reliability and risk assessment.
• Build and validate machine learning models for anomaly detection, failure prediction, and system optimization.
• Analyze and interpret sensor and operational data to identify patterns and derive actionable insights.
• Implement data preprocessing, feature engineering, model training, validation, and explainability workflows using Python and modern ML frameworks.
• Collaborate with engineers, domain scientists, and product stakeholders to integrate analytics into digital twin and simulation platforms.
• Develop frameworks for uncertainty quantification, causal inference, and probabilistic reasoning to improve decision-making under uncertainty.
• Provide technical leadership, mentor junior data scientists, and establish best practices for scalable, production-grade ML pipelines.

We Offer

• 20 paid vacation days per year
• 5 paid sick leaves per year (no medical documents required)
• Personalized development plan with clear self-development goals
• Compensation for job-related trainings
• Work tools (PC, laptop, monitor) and workplace arrangement if needed
• Assistance with and compensation for English courses
• Flat, transparent internal communication
• Ability to switch between projects and technologies within the company
• Accounting support
• Free corporate psychologist services

Are you passionate about turning data into powerful consumer experiences? At PMI, we’re transforming our business and shaping a smoke-free future — and data is at the heart of that journey. We’re looking for a Data Science Lead who will be responsible for developing ML & AI-powered solutions that drive personalization, audience targeting, and strategic decision-making. If you thrive in a fast-paced, collaborative environment and want to work with cutting-edge technologies like LLMs and generative AI, this is your opportunity to make a real impact.
 

What You’ll Do:
 

• Design Smart Audience Strategies
   Segment and profile consumer databases to uncover high-value audiences. Build data-driven frameworks for targeting and personalization that align with business goals and drive measurable impact.
• Build Scalable ML & AI Solutions
   Develop and optimize large-scale data pipelines using advanced machine learning and AI. Create predictive models for segmentation, personalization, and behavioral forecasting—continuously improving accuracy and performance.
• Operationalize Insights Across Channels
   Integrate analytics and predictive models into CRM, marketing automation, and digital platforms. Collaborate with cross-functional teams to enable real-time personalization and optimize campaign performance.
• Lead External Data Acquisition & Partnerships
   Source and manage 2nd/3rd party data from retailers, telcos, digital platforms, and research providers. Own the full process—from defining technical requirements and templates to budget oversight and vendor negotiations.
• Drive Innovation with Emerging AI Technologies
   Explore and implement cutting-edge AI tools like LLMs, STTs, and generative AI. Prototype and scale solutions for content generation, sentiment analysis, and conversational automation—always with a focus on ethical AI and business value.

• Be a Thought Leader & Collaborator
   Act as a go-to expert in analytics and AI. Mentor teams, manage external partners, and champion innovation across the organization.

   

Who Are We Looking For?
 

Hard Skills

• Higher Education in Computer Science, System Analysis, Informatics, Mathematics.
• 2+ years of experience translating complex business problems into actionable insights through hands-on analytics.
• 1.5+ years of experience in data science, machine learning, and predictive modeling.
• Strong SQL and Python skills (e.g., NumPy, Pandas, scikit-learn, Matplotlib).
• Experience with BI tools like Power BI, Looker or Tableau.
• Solid understanding of the ML lifecycle — from EDA to production deployment.
• Experience with LLMs, NLP, STT, or audio analytics is a strong plus.
• English: Upper-Intermediate or higher.

Soft Skills

• High level of autonomy, ownership, and accountability.
• Excellent communication skills — able to explain complex ideas clearly.
• Passion for solving meaningful problems and improving consumer experience.
• Curiosity and drive to stay ahead in the fast-evolving analytics and AI landscape.
   

What We Offer: 
 

Our success depends on our talented employees who come to work here every single day with a sense of purpose and an appetite for progress. Join PMI and you too can:

• Seize the freedom to define your future and ours. We’ll empower you to take risks, experiment and explore.
• Be part of an inclusive, diverse culture, where everyone’s contribution is respected; collaborate with some of the world’s best people and feel like you belong.
• Pursue your ambitions and develop your skills with a global business – our staggering size and scale provides endless opportunities to progress.
• Take pride in delivering our promise to society: to deliver a smoke-free future.