Jobs Data & Analytics

We are looking for a Senior Data Scientist with strong technical expertise and a practical mindset to work on complex data-driven challenges. In this role, you will design and implement ML and GenAI solutions, experiment with modern approaches, and transform ambiguous business problems into scalable, production-ready systems.

Requirements
Must-have

• 4+ years of experience in Data Science
• 4+ years of hands-on experience with Python
• Strong understanding of Machine Learning fundamentals, including:
  • regression and classification models
  • feature engineering and model evaluation
• Practical experience with LLMs and GenAI, including:
  • GPT / ChatGPT or similar LLMs
  • LangChain
  • Retrieval-Augmented Generation (RAG)
• Experience with EDA, data preprocessing, and basic dimensionality reduction (e.g. PCA)
• Hands-on experience with tree-based models (e.g. XGBoost)
• Experience building scalable and high-load solutions
• Ability to write clean, maintainable code
• Participation in technical and architectural decisions
  
  Nice to have
• Experience with NLP libraries (SpaCy, Hugging Face)
• Understanding of Explainable AI (XAI) and model interpretability
• Experience with cloud platforms (AWS / GCP / Azure)
• Ability to translate business problems into ML solutions

• Background in R&D, experimentation, or prototyping

  
  Key Responsibilities

• Design and develop scalable Data Science and GenAI solutions aligned with business goals.
• Build, evaluate, and optimize ML models, including:
  -linear models
  -gradient boosting (XGBoost)
  -NLP and LLM-based solutions
• Develop and productionize LLM-powered applications using LangChain and RAG approaches.
• Perform EDA, feature engineering, dimensionality reduction (PCA), and model evaluation.
• Apply XAI techniques to ensure model transparency and explainability.
• Contribute to data science architecture and solution design.
• Write clean, maintainable code and participate in code and design reviews.
• Optimize performance and reliability of high-load systems.
• Conduct R&D activities: explore new ML/GenAI techniques and assess their practical impact.
• Collaborate with engineering, product, and business teams to deliver impactful data-driven solutions.
  
  We offer:
• Great networking opportunities with international clients, challenging tasks;
• Building interesting projects from scratch using new technologies;
• Personal and professional development opportunities;
• Competitive salary nominated in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

   

Job Description

- 5+ years of intermediate to advanced SQL

- 5+ years of python development (intermediate level is fine: Pandas, Numpy, boto3, seaborn, requests, unittest)

- Experience building ETLs

- Experience with data tools (ex.: Airflow, Grafana, AWS Glue, AWS Athena)

- Excellent understanding of database design

- Cloud expereince (AWS S3, Lambda, or alternatives)

- Agile SDLC knowledge
- Detail oriented
- Data-focused
- Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams
- An ability and interest in working in a fast-paced and rapidly changing environment
- Be self-driven and show ability to deliver on ambiguous projects with incomplete or dirty data

Would be a plus:
- Understanding of basic SVOD store purchase workflows
- Background in supporting data scientists in conducting data analysis / modelling to support business decision making

- Experience in supervising subordinate staff

Job Responsibilities

- Data analysis, auditing, statistical analysis
- ETL buildouts for data reconciliation
- Creation of automatically-running audit tools
- Interactive log auditing to look for potential data problems
- Help in troubleshooting customer support team cases
- Troubleshooting and analyzing subscriber reporting issues:
- Answer management questions related to subscriber count trends
- App purchase workflow issues
- Audit/reconcile store subscriptions vs userdb

Department/Project Description

Customer is one of the biggest companies on the market of home entertainment consumer electronics devices that strives to provide their clients with high-quality products and services.

This position collaborates with a geographically diverse team to develop, deliver, and maintain systems for digital subscription and transactional products across the Customer’ SVOD portfolio.

Role Overview

Designs and implements the visual feature extraction pipeline, ensuring high-quality input data for the ML model from multi-camera capture system

Key Responsibilities

Phase 0: Pilot 

• Design and deploy 3-camera capture system (top-down + 2 oblique)
• Implement cross-polarized lighting setup for glare elimination
• Develop visual feature extraction algorithms:
  • Skin blanching detection
  • Contact patch area measurement
  • Finger flexion analysis (keypoint tracking)
  • Micro-tremor detection (10-20 Hz)
• Synchronize camera streams with hardware frame-lock
• Collect and curate training dataset (100+ matches)

Phase 1: Demo 

• Optimize feature extraction for real-time performance (<8ms budget)
• Implement confidence scoring for feature quality
• Handle challenging conditions (varied lighting, athlete positioning)
• Support broadcast integration with visual debugging tools
• Refine calibration procedures based on demo feedback

Phase 2: Production 

• Implement failover and redundancy for camera failures
• Optimize for 98%+ uptime during live events
• Develop automated quality monitoring and alerting
• Support LED synchronization (Art-Net/DMX integration)

• Production-grade error handling and recovery

   

Required Technical Skills

Must Have:

• 5+ years experience in computer vision engineering
• Expert-level knowledge of OpenCV and image processing techniques
• Experience with high-speed camera systems (120+ FPS)
• Strong understanding of optical phenomena (lighting, polarization, color science)
• Experience with multi-camera synchronization and calibration
• Proficiency in C++ and Python for real-time CV pipelines

• Experience with GPU-accelerated image processing (CUDA, cuDNN)

   

Strongly Preferred:

• Experience with industrial vision systems or broadcast/entertainment applications
• Knowledge of color-based feature extraction (blanching, perfusion analysis)
• Experience with pose estimation and hand/finger tracking (MediaPipe, OpenPose)
• Background in optics and lighting design for machine vision
• Experience with GigE Vision or USB3 Vision camera protocols

• Familiarity with embedded vision systems or edge deployment

   

Nice to Have:

• Experience with NIR imaging or multi-spectral cameras
• Knowledge of photogrammetry and 3D reconstruction
• Experience with motion capture systems or sports analytics
• Background in signal processing for vibration/tremor detection

• Familiarity with broadcast equipment and professional video workflows

   

Required Soft Skills

• Hands-on hardware expertise: Comfortable with physical camera setup and troubleshooting
• System thinking: Understand end-to-end pipeline from optics to ML model
• Attention to detail: Ensure data quality and consistency across diverse conditions
• Pragmatism: Balance theoretical perfection with practical constraints (time, budget)

• Field readiness: Willingness to travel for on-site deployments (2-3 trips to US)

   

Success Metrics

• Camera system operational with <0.1% frame drop rate
• Feature extraction latency <8ms (P95)
• Visual features correlate with grip force (0.4-0.7 per signal)
• System handles diverse athlete characteristics (6 Fitzpatrick skin tones)
• 100+ matches captured with synchronized reference data

About us:
 

ARRISE sets the benchmark for service delivery and excellence in the iGaming industry. Playing a key role in the success of its clients, which include Pragmatic Play, a brand relied upon by the world’s biggest online casinos for its cutting-edge products, ARRISE helps to deliver exceptional gaming experiences to millions of players worldwide.

Our global team of talented and driven professionals are shaping the future of iGaming. Headquartered in Gibraltar, we have offices spanning Canada, India, the Isle of Man, Latvia, Malta, Romania, Serbia, Bulgaria, and the UAE, and more exciting destinations on the horizon.

At ARRISE, we take pride in creating growth opportunities at all levels, constantly investing in our people while welcoming new colleagues and forging strategic partnerships that open new opportunities for success. To achieve this, we bet on ourselves. We know that success is a collective effort, and our team is driven by ambition, collaboration, and a shared commitment to grow and succeed—while embracing every step of the journey.

Be part of the future of iGaming with ARRISERS! See a job that excites you? Apply now, and our friendly recruitment team will connect with you soon. Your journey starts here!

Requirements: 

• Requires 4 or more years of related experience, maintenance, and administration of PostgreSQL databases.   
• Previous SQL Server and/or Oracle database administration experience is a plus.  
• Strong writing and verbal communication skills.   
• Displays excellent collaborative skills with cross-functional teams.  

Responsibilities:  

• The DBA should have knowledge of some industry standard PostgreSQL databases including creation and implementation of fully functional PostgreSQL database clusters (both in the cloud AWS RDS and on-premises), ability to maintain multiple development, QA, and production PostgreSQL environments with experience in performance tuning.  
• Review existing configurations and installations and provide design decisions for improvements to platform environments.  
• Assist in planning and performing PostgreSQL database upgrades and migrations.  
• Perform production level support and be part of the on call rotation when required.  
• This position will be responsible for supporting new and existing PostgreSQL database systems, both internally and future Cloud managed instances and will contribute in defining best practices in database administration, and introduce innovation with automation.  
• Proficient with the Linux operating systems - Ubuntu, RHEL.  
• Assist in implementing long-term strategic goals for database development in conjunction with end users, managers, clients, and other stakeholders.   
• Perform debugging, tuning, and performance enhancement as well as automation of operational and continuous integration aspect of the PostgreSQL platform.  
• Independently analyzes, solves, and corrects issues in real time, providing problem resolution end-to-end.  

Company offers: 

• Long-term employment; 
• Flexible timetable; 
• Comfortable working conditions; 
• Paid vacation and sick leaves; 
• English lessons, gym; 
• Competitive salary level. 

About

EdSpan is an innovative EdTech company dedicated to creating cutting-edge learning experiences that empower the next generation of students. Our collaboration with a US-based private school network helps us better understand user needs while expanding our B2C and B2B products to a broader audience. Our current focus includes an AI-guided tutoring experiences, a peer-to-peer tutoring platform, and a custom learning management system.

We operate within a framework of clearly defined processes supported by automation for routine tasks, and open, productive collaboration across the team. Our workflows are based on Agile principles, with daily stand-ups, bi-weekly sprints, and other key Scrum practices. At the same time, we keep meetings to a minimum to ensure everyone can stay focused on delivering high-quality results and continuing to grow professionally.

Who you are

We’re looking for someone who enjoys working with complex systems - someone who understands how things connect together, handles edge cases, and makes new features fit flawlessly into existing logic.

This position is about deep, focused work: analyzing changes, mapping flows, and writing clear, complete specifications for engineers - few meetings and lots of thinking. You bring structure, clarity, and a sharp analytical mindset.

Requirements

• At least 4 years in a Systems Analyst role and fluency in spoken English;
• Good theoretical and practical knowledge of BA/SA methodologies and tools - to choose the right approach for each complex case;
• Ability to write concise, clear, and structured user stories in the rule-oriented format;
• Proven skill in documenting and diagramming complex flows (hundreds of elements), in order to make sophisticated systems understandable and maintainable;
• Familiarity with relational databases, to analyze data structures and identify the right points for change;
• Experience defining and implementing complex API integrations: Payment Service Providers, video streaming platforms, and other;
• Strong interpersonal skills and experience navigating complex stakeholder structures - to align diverse perspectives into one consistent solution;

• Bachelor’s degree in Computer Science, Information Technology, or a related field - for a strong analytical and technical foundation;

   

Would be a plus

• Experience working on AI-driven products (AI agents, or AI workflows) is highly desirable, or a strong understanding of agentic systems, prompting, and evals;

• Familiarity with Mobile platforms and experience delivering applications from concept to successful App Store launch;

   

What will you do

• Prepare user stories / change requests based on the guidance from the Product team and Business stakeholders:
  • analyze the current state (As-Is) as well as impact analysis (To-Be) and identify gaps;
  • prepare or modify existing BMPN diagrams to supplement specifications;
  • thoroughly polish user stories to cover every little detail to minimize product defects;
• Work with the Engineering team during all SDLC stages to clarify the goal, requirements, corner-case scenarios, relevant test cases, etc.
• Proactively work with stakeholders to identify different types of requirements (business, solution, transition requirements, and other);

We are looking for a highly experienced Senior AI/ML Engineer to lead the creation of a next-generation real-time biometric estimation system for global sports broadcasts.

About the Project:
We are building a real-time, non-contact system to estimate athletes’ exertion for live sports broadcasts. Using high-speed video and computer vision, it predicts force metrics with 85%+ accuracy, replacing traditional sensors, with low-latency and robust performance under complex conditions.

Key Responsibilities:

Phase 0 – Pilot

• Design ML architecture for grip estimation
• Train initial model (force sensors + video data)
• Build training & data labeling pipeline
• Validate across diverse athlete profiles
• Achieve 75%+ correlation

Phase 1 – Demo

• Refine model using demo event data
• Implement 2-second per-athlete calibration
• Optimize for edge cases (skin tones, hand sizes)
• Achieve 80%+ correlation

Phase 2 – Production

• Improve accuracy toward 85%+
• Optimize inference to <40ms (P99)
• Implement advanced scoring features

• Production hardening & reliability improvements

   

Required Skills:

• 5+ years of experience in applied machine learning/deep learning
• Strong background in computer vision and image-based regression tasks
• Hands-on experience with PyTorch or TensorFlow for production systems
• Experience with real-time inference optimization (TensorRT, ONNX Runtime)
• Understanding of signal processing and temporal data analysis
• Experience training models on diverse datasets (handling bias, data augmentation)

• Proven track record achieving high-accuracy requirements (>80% on complex tasks)

   

  Strongly Preferred:

• Experience with biomechanical or physiological signal estimation
• Knowledge of optical/visual phenomena (skin blanching, perfusion, micro-tremors)
• Experience with few-shot learning or transfer learning approaches
• Background in sports analytics or human performance monitoring
• Experience with active learning for iterative model improvement

• Published research or patents in computer vision/ML domains

   

  Nice to Have:

• Experience with NIR (near-infrared) imaging or multi-spectral analysis
• Knowledge of pose estimation frameworks (MediaPipe, OpenPose)
• Experience with edge ML deployment on NVIDIA platforms
• Familiarity with time-series forecasting or sensor fusion

Soft Skills:

• Technical leadership: Ability to make critical architectural decisions under uncertainty
• Problem-solving: Creative approaches to novel ML challenges (no precedent for optical grip estimation)
• Communication: Clearly explain complex ML concepts to non-technical stakeholders
• Adaptability: Rapid iteration based on real-world performance feedback
• Ownership: Take full responsibility for model accuracy through systematic experimentation

We are seeking a highly skilled and motivated Machine Learning Developer to join our dynamic team, focusing on developing, deploying, and optimizing Large Language Models for chatbot applications. This role involves working on cutting-edge AI technologies to create conversational agents that provide engaging and insightful interactions with users. The ideal candidate will have a strong background in machine learning, Natural Language Processing, and experience in developing LLM-based chatbots.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• +5 years of experience in machine learning and NLP, with a focus on developing applications using LLMs.
• Proficiency in programming languages such as Python and frameworks/libraries like TensorFlow, PyTorch, Hugging Face Transformers.
• Experience with cloud services (AWS, Azure, GCP) for deploying ML models and applications.
• Strong understanding of RESTful APIs for integrating chatbot functionalities into different platforms.
• Familiarity with version control tools (e.g., Git) and ML development tools (e.g., Jupyter Notebooks, MLflow).
• Participate in pre-sales activities, including developing ML offering materials and engaging with clients to understand their needs, presenting tailored solutions, and demonstrating the potential impact of our ML technologies.

• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

   

Preferred Qualifications:

• Knowledge of front-end technologies (HTML, CSS, JavaScript) for crafting interactive chatbot interfaces is advantageous but not required.
• Certifications or advanced training in machine learning, cloud architectures, or similar fields.
• Active participation in relevant tech communities or contributions to open-source projects in the ML/NLP domain.

Job Responsibilities:

• Design and implement chatbot solutions using Large Language Models such as OpenAI GPT API or similar frameworks.
• Collaborate with cross-functional teams to integrate chatbot solutions into existing platforms and workflows.
• Optimize and fine-tune LLMs for performance, accuracy, and user engagement.
• Build and optimized RAG and vectorized databases
• Monitor and evaluate the performance of chatbot applications, identifying areas for improvement and implementing updates.
• Stay up-to-date of developments in AI, machine learning, and NLP to ensure our solutions remain cutting-edge.
• Develop and maintain documentation related to ML models, including model design, deployment details, and performance metrics.
• Work with data engineers to ensure the availability and quality of data for training and fine-tuning models.
• Implement security measures to protect sensitive information processed by chatbots

What we offer:

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

Description

GlobalLogic is searching for a motivated, results-driven, and innovative software engineer to join our project team at a dynamic startup specializing in pet insurance. Our client is a leading global holding company that is dedicated to developing an advanced pet insurance claims clearing solution designed to expedite and simplify the veterinary invoice reimbursement process for pet owners.
You will be working on a cutting-edge system built from scratch, leveraging Azure cloud services and adopting a low-code paradigm. The project adheres to industry best practices in quality assurance and project management, aiming to deliver exceptional results.
We are looking for an engineer who thrives in collaborative, supportive environments and is passionate about making a meaningful impact on people’s lives. If you are enthusiastic about building innovative solutions and contributing to a cause that matters, this role could be an excellent fit for you.

Requirements

• Strong hands-on experience with Azure Databricks (DLT Pipelines, Lakeflow Connect, Delta Live Tables, Unity Catalog, Time Travel, Delta Share) for large-scale data processing and analytics
• Proficiency in data engineering with Apache Spark, using PySpark, Scala, or Java for data ingestion, transformation, and processing
• Proven expertise in the Azure data ecosystem: Databricks, ADLS Gen2, Azure SQL, Azure Blob Storage, Azure Key Vault, Azure Service Bus/Event Hub, Azure Functions, Azure Data Factory, and Azure CosmosDB
• Solid understanding of Lakehouse architecture, Modern Data Warehousing, and Delta Lake concepts
• Experience designing and maintaining config-driven ETL/ELT pipelines with support for Change Data Capture (CDC) and event/stream-based processing
• Proficiency with RDBMS (MS SQL, MySQL, PostgreSQL) and NoSQL databases
• Strong understanding of data modeling, schema design, and database performance optimization
• Practical experience working with various file formats, including JSON, Parquet, and ORC
• Familiarity with machine learning and AI integration within the data platform context
• Hands-on experience building and maintaining CI/CD pipelines (Azure DevOps, GitLab) and automating data workflow deployments
• Solid understanding of data governance, lineage, and cloud security (Unity Catalog, encryption, access control)
• Strong analytical and problem-solving skills with attention to detail
• Excellent teamwork and communication skills

• Upper-Intermediate English (spoken and written)

   

Job responsibilities

• Design, implement, and optimize scalable and reliable data pipelines using Databricks, Spark, and Azure data services
• Develop and maintain config-driven ETL/ELT solutions for both batch and streaming data
• Ensure data governance, lineage, and compliance using Unity Catalog and Azure Key Vault
• Work with Delta tables, Delta Lake, and Lakehouse architecture to ensure efficient, reliable, and performant data processing
• Collaborate with developers, analysts, and data scientists to deliver trusted datasets for reporting, analytics, and machine learning use cases
• Integrate data pipelines with event-based and microservice architectures leveraging Service Bus, Event Hub, and Functions
• Design and maintain data models and schemas optimized for analytical and operational workloads
• Identify and resolve performance bottlenecks, ensuring cost efficiency and maintainability of data workflows
• Participate in architecture discussions, backlog refinement, estimation, and sprint planning
• Contribute to defining and maintaining best practices, coding standards, and quality guidelines for data engineering
• Perform code reviews, provide technical mentorship, and foster knowledge sharing within the team
• Continuously evaluate and enhance data engineering tools, frameworks, and processes in the Azure environment

Headway Inc is a global tech company, revolutionizing lifelong learning by creating digital products for over 150 million users worldwide. Our mission is to help people grow. We’re proud to be ranked 4th among the World’s Top EdTech Сompanies by TIME magazine. We believe lifelong learning should be accessible, personalized, and impactful to each individual. That’s how we change the world and why we bring together exceptional minds.
 

The core of our achievements is our team. We believe in people and shared SELECT values. Together with Yelizaveta Kaminska, we’re looking for a Payment Manager to join our team of superstars transforming the EdTech industry.
 

The Payments Team focuses on improving and optimizing digital payments to provide our users with convenient and transparent payment experiences.
 

This job is perfect for you if you:

• Are passionate about payments and eager to grow your expertise in this field
• Want to enhance user experience by making payment flows smoother and more transparent
• Are looking for rapid career growth and quick, measurable results from your work
• Appreciate the freedom to choose your own methods and approach

What you’ll do:

• Monitor payment metrics daily to ensure accuracy, efficiency, and stability of processing
• Analyze payment trends to identify opportunities for improving approval ratios and optimizing costs
• Collaborate with payment providers, PSPs, and banks
• Expand payment infrastructure by researching and integrating new payment methods
• Partner with internal teams (Support, Finance, Legal, etc.) to troubleshoot issues and optimize the checkout experience
• Prepare payment infrastructure for new geographies
• Ensure compliance with industry regulations and best practices

What you need to join us:

• At least 6 months of experience in payments and understanding of payment processing
• Analytical mindset and understanding of product and payment metrics
• Knowledge of A/B testing
• Fast learner who adapts quickly to new challenges
• Alignment with our SELECT values

What we offer:

• Work on a socially impactful educational product with an ambitious team
• Personal development plan and access to our knowledge base and communities
• Compensation for English learning, external training, and courses
• Medical insurance, company doctor, and full sick leave coverage
• Office amenities: reliable shelter, generator, Starlink, and even massage sessions
• Active lifestyle support: running, yoga, boxing, and more
• Two week-long company holidays per year to rest and recharge
• Support for initiatives helping Ukraine

Working schedule

This is a full-time position with a hybrid remote option. It means that you can decide for yourself: whether you want to work from the office, remotely, or combine these options.

Interested? Send your CV — we’d love to hear from you!

This role has a strong emphasis on system analysis, including work with system requirements, integrations, APIs, and data flows, as well as close collaboration with engineering teams.

Technical skills needed:

• 4+ years of experience in a role Business or System or Functional Analyst;
• Proficient in writing User Stories, Use Cases, Functional and Non-Functional requirements, system diagrams, wireframes;
• Experience of working with Restful APIs (writing requirements, API usage);
• Experience in Microservices architecture;
• Experience of working with Agile methodologies (Scrum, Kanban);
• Solid knowledge in DB and SQL;
• Knowledge of UML, BPMN;
• Understanding of key UX/UI practices and processes;
• Understanding of software development lifecycle;
• Understanding of architecture of WEB-based application;
• English Upper-Intermediate or higher.

Soft Skills:

• Excellent communication and presentation skills;
• Proactiveness;
• Organized, detail-oriented with ability to keep overall solution in mind;
• Comfort working in a fast-paced environment, running concurrent projects and manage BA work with multiple stakeholders;
• Good time-management skills, ability to handle multitasking activities.

As a plus

• Experience in writing requirements for reporting system, dashboards, DWH, ETL, etc
• Experience in enterprise software development or finance domain;
• Experience in delivery of desktop and web-applications;
• Experience of successful system integration project.

Responsibilities:

• Participation in discovery phases and workshops with Customer, covering key business and product requirements;
• Manage project scope, requirements management and their impact on existing requirements, defining dependencies on other teams;
• Creating business requirements, user stories, mockups, functional specifications and technical requirements (incl. flow diagrams, data mappings, examples);
• Close collaboration with development team (requirements presentation, backlog grooming, requirements change management, technical solution design together with Tech Lead, etc.);
• Regular communication with internal (Product, Account management, Business teams) and external stakeholders (Partners, Customers);
• Preparing UAT scenarios, validation cases;
• User Acceptance Testing;
• Demo for internal stakeholders;
• Creating documentation (user guides, technical guides, presentations).
   

Project Description:

Wireless Standard POS (Point-Of-Sales) (www.b2bsoft.com) is our retail management solution for the Telecom Market.

It provides thousands of retailers with features and functionalities they need to run their businesses effectively with full visibility and control into every aspect of sales and operations.

It is simple to learn, easy to use and as operation grows, more features can be added on.

Our system can optimize and simplify all processes related to retail in this business area.


 

Few things that our product can do:

• Robust Online Reporting
• Repair Management Software
• 3rd Party Integrations
• Customer Connect Marketing
• Time and Attendance
• Carrier Commission Reconciliation

As a Business Analyst/ System Analyst, you will be the liaison between the lines of business and the Development team, have the opportunity to work on a very complex product with microservice architecture (50+ for now) and communicate with Product, QA, Developers, Architecture and Customer Support teams to help improve product quality.

We are looking for a Junior AI / ML Engineer (Generative AI) to join our AI & Data projects. This role is designed for an early-career, AI-native engineer who is comfortable using modern GenAI tools and wants to grow on real projects under the guidance of senior ML / AI experts.
You will help rapidly prototype ideas, build small PoCs, and experiment with solutions based on large language models (LLMs) and other generative AI techniques. Your focus will be to implement well-defined tasks, run experiments, and use GenAI tools to speed up coding, analysis, and documentation – while learning how to do this safely and reliably in production-oriented environments.

Required Qualifications:

• 1–2 years of experience in software development, data science, or ML (commercial experience, internships, or strong personal projects).
• Solid basic skills in Python and core data/ML libraries (e.g., NumPy, pandas, Scikit-learn).
• Understanding of fundamental ML concepts (datasets, train/validation split, basic metrics, overfitting).
• Practical familiarity with generative AI / LLMs:
  - regular use of tools like ChatGPT, Copilot or similar for coding and data tasks;
  - basic understanding of prompts, context windows, and common limitations (hallucinations, privacy, bias).
• High motivation to learn, ask questions, and accept feedback.
• Organized and responsible: able to follow a spec, document work, and meet agreed timelines.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.
• Course work, pet projects, or a thesis related to ML, NLP, or Generative AI.
• Basic exposure to RAG, embeddings, or vector databases (from articles, courses, or small experiments).
• Familiarity with at least one cloud platform (Azure, AWS, or GCP) from labs or online coursesю.
• Experience with Jupyter notebooks, Git, and simple CI/CD or MLOps tools (even at a “student project” level).
• Participation in hackathons, Kaggle competitions, or open-source projects.

Job Responsibilities:

• Rapidly prototype and iterate on ML / GenAI ideas in notebooks and scripts, turning high-level concepts into small PoCs and demo flows.
• Implement well-defined tasks in Python (data preprocessing, basic model training, evaluation scripts, and utility functions) as part of prototypes and production-oriented components.
• Assist in experiments with LLMs and GenAI APIs (prompt variants, small workflows, simple RAG setups) under the guidance of senior engineers, proactively suggesting new options and documenting what works and what doesn’t.
• Use GenAI tools to support your daily work (coding, tests, documentation, exploratory analysis) and capture key findings in a clear, structured way.
• Prepare and clean datasets, run experiments, and summarize results in concise formats (tables, short reports, simple dashboards).
• Help build and maintain demo environments and internal PoCs for ML / GenAI use cases, keeping them reproducible and easy to reuse.
• Follow coding standards, version control practices, and basic quality processes (code reviews, simple tests, logging).
• Actively learn from senior team members, ask questions, and gradually take ownership of small components within larger solutions.

Department/Project Description

You will join the projects that apply generative AI to real business problems: intelligent assistants, smarter search and retrieval, content transformation, and decision-support workflows.
You will work in cross-functional teams alongside experienced ML engineers, data engineers, and cloud specialists, with a strong focus on practical skills, rapid prototyping, and mentoring-driven growth in the GenAI space.

We are seeking a Senior AI Engineer to drive the development of AI business agents using the SADK framework. Ideal candidates bring deep expertise in AI/ML/LLMs, RAG pipelines, vector databases, and agent frameworks, with a preference for healthcare/clinical trials experience and compliance knowledge.

The project is centered on the implementation of clinical solutions for pharmaceutical product development and testing.

This is you

• 5+ years in software engineering, including 3+ years with AI/ML/LLMs;
• Expert-level prompt engineering and LLM application development;
• Experience with OpenAI, Anthropic, or Azure OpenAI APIs;
• Strong proficiency in Python and/or TypeScript;
• Hands-on RAG (Retrieval Augmented Generation) implementation;
• Understanding of agent frameworks like LangChain or AutoGen;

• English - Upper-Intermediate level or higher.

   

Nice-to-have skills:

• Domain knowledge in healthcare or clinical trials;
• Experience with Microsoft Agent Framework or similar tools;
• Skills in fine-tuning and model optimization;
• Background in multi-agent systems and workflows;

• Knowledge of 21 CFR Part 11 and GxP compliance.

   

This is your role

• Lead development of business agents using the SADK framework;
• Design agent architectures, including Knowledge, Review, Triage, Workflow, Research, and Recommendation agents;
• Master prompt engineering techniques tailored to clinical use cases;
• Implement RAG pipelines and integrate knowledge bases;
• Optimize agent performance for accuracy, latency, and cost;
• Establish evaluation frameworks and quality metrics for agents;
• Mentor AI/ML engineers on best practices in agent development;
• Collaborate with domain analysts to translate requirements into agent specifications;
• Partner with the Platform Pod to improve SADK and identify new MCP server needs. 

We are looking for a Middle Machine Learning Engineer to develop and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will focus on building and iterating on machine learning and LLM-based solutions, integrating them into Foundry workflows to support analytics, automation, and decision-making. You will collaborate closely with data engineers, business analysts, and domain experts to deliver practical, production-ready AI solutions.

Key Responsibilities:

• Develop and enhance machine learning and AI models to support predictive analytics, classification, forecasting, and AI-assisted workflows.
• Build AI and ML solutions within Palantir Foundry, using Python and existing Foundry pipelines, Ontology objects, and workflows.
• Apply LLMs and NLP techniques (e.g. prompt engineering, fine-tuning, embeddings, retrieval-augmented workflows) using Palantir AIP for enterprise use cases.
• Collaborate with data engineers to understand data sources, ensure data quality, and prepare datasets for model training and inference.
• Conduct experiments, evaluate model performance, and iterate on features and model approaches.
• Integrate AI models into Foundry workflows to surface insights and support business processes.
• Support model deployment and monitoring by following established team standards and best practices.
• Work closely with business and domain stakeholders to translate requirements into practical AI-driven solutions.
• Document model behavior, assumptions, and limitations to support transparency and compliance.
• Stay up to date with applied AI and GenAI trends and contribute ideas under guidance from senior team members.

Requirements:

• 3+ years of experience in machine learning, AI engineering, or applied data science.
• Strong Python skills; experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Hands-on experience with LLMs, NLP, or GenAI use cases (e.g. prompt design, embeddings, text classification, summarization).
• Practical understanding of the ML lifecycle: data preparation, feature engineering, model training, evaluation, and iteration.
• Experience working with structured data (tabular, time series); exposure to text or unstructured data is a plus.
• Familiarity with enterprise data environments and collaborative development workflows.
• Ability to clearly explain model results and AI behavior to non-technical stakeholders.
• Upper-Intermediate English or higher.

Nice to have: 

• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

Senior Applied AI/ML Engineer (LLM + Production) — English B2

We’re looking for a Senior Applied AI Engineer to raise the quality of production AI/LLM systems through clear metrics, rigorous evaluation, and fast iteration. This role is for someone who doesn’t guess—you measure, experiment, and ship improvements that move real product outcomes.

What you’ll do

• Improve production AI systems through evaluation, experimentation, and system design
• Build and maintain metrics, baselines, and measurement approaches to track progress
• Debug failures methodically, identify root causes, and iterate toward measurable gains
• Work with LLM systems end-to-end: prompt design, agent workflows, output evaluation, and production integrations

• Write and maintain production code to turn ideas into working systems

   

Tech stack

• Golang — primary production language
• Python — used when needed for ML workflows
• Postgres, Redis, and internal services

You don’t need to be a Go expert on day one, but you should be comfortable reading and modifying production code.

Who we’re looking for

• 3+ years of experience (we’ll consider 3 years if you’re exceptionally strong in AI/ML)
• English: B2

Must-haves

1. Strong AI/ML fundamentals
You understand the theory behind what you build and can choose appropriate methods for a problem.
Examples:

evaluation metrics (precision/recall/F1/etc.)ranking and recommendation conceptsembeddings and similarityexperimentation methodology
Not required:

academic publicationsadvanced theoretical mathlarge-scale model training experience
2. Evaluation-driven mindset You:

think in metrics and baselinesdesign experiments instead of guessingmeasure system improvements quantitativelydebug failures methodicallyThis is the most important signal for the role.

3. Experience with LLM systems you’ve worked with:

prompt designagent workflowsevaluation of LLM outputsproduction LLM integrations
4. Ability to ship production systems
You can:

turn ideas into working systemsiterate based on resultsbalance exploration with delivery
5. Programming ability You’re comfortable writing production code in at least one language (Python, Go, or similar) and learning others when needed.

Nice to have

• Experience improving AI systems after deployment
• Ranking / recommendation systems
• Building evaluation frameworks
• Golang
• Startup or small-team engineering experience
• Computer vision, optimization/constraint-based approaches

Welcome to King Group - a place where the best people from the IT and gambling industries meet to do amazing things together. We operate numerous projects in the iGaming sector in the markets of Ukraine, Europe and the USA, invest in venture startups, promising ideas and people.
 

One of our companies is a game studio that deals with the full cycle of iGaming product development. From idea to release, we combine creativity, modern technologies and deep analytics to create a unique gaming experience. Our mission is to excite, inspire and shape the future of the industry.

Our company is looking for a math expert who has a drive and passion (perhaps some experience) for games.

Key skills (it's not necessary to have all key skills, but more is better than less):

• Higher education in mathematics or related fields (related to research, analytics or data processing);
• Have a strong math background (especially probability theory, statistics, combinatorics);
• Advanced knowledge of MS Excel (statistical, mathematical functions);
• Be proficient at one (at least) programming language (Python is preferable);
• Knowledge of one of the CAS (Mathematica, Mathcad, Maxima);
• Have a strong math background (especially probability theory, statistics, combinatorics);
• Have previous experience in gaming industry or (and) have experience in playing slots (or any other probabilistic games (poker, blackjack, etc));
• Understand the time and memory complexity of your code;
• Be keen on details (Yes, it's really important at this position);
• Understanding OOP Concepts;
• Experience in developing mathematical models.
   

Nice to have:

• Experience in using git;
• Experience in using JIRA.
   

Responsibilities: 

• Prepare math for slot games;
• Discuss with business/ propose new game ideas/new feature ides;
• Implement game logic of new features, games;
• Gather games' statistics by precise calculations / running simulations of the games;
• Make games attractive for players from the math side.
   

Why we:

• Social Package;
• Medical care;
• Sick Days;
• Professional development support;
• Family-like atmosphere. You can check it out yourself ;)
• Great career prospects.
  
  Do you want to grow with us? Do you have the desire to take an active part in creating a product? Send your resume and let's get to know each other ;)