Jobs Data & Analytics

Responsibilities

• Act as the primary point of contact for all MongoDB-related topics, including reviewing and approving configuration and setup changes.
• Maintain and support MongoDB databases across both Atlas and on-prem environments.
• Maintain and support SQL Server and PostgreSQL databases in on-prem and AWS environments.
• Monitor database systems for health, performance, and availability.
• Advise software engineers on SQL query optimization and database schema design.
• Minimize database downtime and manage High Availability (HA) and Disaster Recovery (DR) strategies.
• Plan and contribute to long-term scalability and database architecture.
• Implement database changes, apply patches, and manage version upgrades.
• Assist with building and maintaining data extraction pipelines from MongoDB and SQL Server.
• Participate in the on-call rotation to support production systems.
   

Requirements

• 4+ years of combined experience across data platforms, including at least 2 years in a DBA role (MongoDB and relational databases, infrastructure, and application support).
• Hands-on data engineering experience (Airflow preferred).
• AWS experience (minimum 1 year).
• Advanced T-SQL development skills.
• Proficiency with Git and modern code management workflows.
• Strong understanding of backup, recovery, security, and data integrity principles.
• Excellent problem-solving skills with strong algorithmic thinking.
• Ability to work effectively in a fast-paced environment and meet deadlines.
• Fluent in English.
   

Nice to Have

• Experience with dbatools, Redgate SQL Toolbelt, Coralogix.
• Exposure to CI/CD pipelines and Liquibase.

Lviv, UA

Full-time on site/hybrid (Lviv) or remote (countrywide employment)

Are you ready to join a multinational company and a dynamic team for great achievements? Do you like unique challenges and experiences? Do you want to use professional competencies and skills? We offer an attractive and dynamic international working environment with constant opportunities for development, reflecting our conviction that people are our most important asset.

Nestle Business Services in Lviv is announcing an opening for Marketing Analytics Specialist , Marketing Analytics team.

A day in the life of...

• Data collection and quality checks - precise analysis of data provided by Agency/Markets:
• Ensure data availability within the approved deadline,
• Ensure data quality checks
• Ensure proper consolidation of data from a number of sources
• Follow-up with data provider contacts as necessary to guarantee data readiness to generate a set of reports within the approved deadline. In case of incomplete or incorrect info NBS employee reverts back to data providers for clarification or rework.
• Support - consulting users on reports-related topics and preparing additional instructions.
• General administration - managing reports archive and updating distribution lists.
• Ad-hoc analysis - performing deeper analysis of the data on request

What will make you successful

• Proven knowledge in Excel, Power BI;
• Proficiency in English (Upper-Intermediate: spoken and written).
• Working with high-volume, multi-platform, complex tasks;
• Strong analytical skills, listening and communication skills (oral and written).
• Ability to deliver detailed reporting;
• Result focus and action-orientation;
• University degree;

Benefits

• Salary and benefits package: 28 days of paid vacation, paid sick leaves, medical & life insurance, gym membership;
• Official employment;
• Daily cooperation with representatives from Nestle’s iconic brands such as Purina, Starbucks, Nestle Waters etc.; • Personal & Professional development opportunities; • Possibilities for career pathway; • International environment and friendly team; • Relocation package or possibility of distance work

Lviv, UA, 79048

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.

We are looking for a Senior ML & AI Engineer to join us as part of our team.

About the role

PitchBook’s Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high volume of data for the PitchBook Platform and surface insights for the capital markets. This role will also serve as a resource and mentor for junior members of the team. A strong motivation to succeed is critical, and everyone has the opportunity to shape the long-term direction of our team.

About the project

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials, and many more.

Team

Engineering Manager, 6 ML & AI Engineers

Work Environment

The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.

As a qualified expert, You will

• Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges.
• Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis.
• Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights.
• Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing.
• Mentor & Lead: Act as a mentor for junior team members and stay updated on trends in Agentic AI, transformer models, and generative systems.
• Collaborate & Communicate: Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively.
• Tech Stack & Focus Areas:
• Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems.
• Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources.

We’re looking for you if you have:

• Educational Background: You hold a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field.
• Experience: You bring 4+ years of production experience in the ML field, with a track record in developing transformer-based models and deploying them in scalable systems.

• Technical Expertise:

  - Proficient in Python and machine and deep learning frameworks like TensorFlow, PyTorch, ScikitLearn, Spacy, or others.

  - Experienced in natural language processing and modern LLM-based techniques.

  - Experience with full ML lifecycle, data preprocessing, training, evaluation stage, and monitoring techniques.

  - Skilled with SQL and data extraction methods.

• Innovative Thinker: You thrive on solving complex problems and are always exploring new trends in Generative AI.
• Collaborator & Communicator: You’re an excellent communicator able to collaborate and professionally express your thoughts to team members, other engineering teams, and stakeholders.
• Domain Knowledge: Exposure to financial services, investment banking, venture capital, or private equity is nice to have.

What’s in it for You

Reveal great tech solutions

Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.

Experience an agile and flexible working environment

Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.

Embrace the opportunity for personal and professional growth

Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learning through the corporate library, public speaking support, and more.

Be among like-minded people

Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Interview steps

• Pre-Screening with the recruiter
• Technical interview (up to 90 min)
• System Design interview (up to 45 min)
• Behavioral Round with Product Manager (45 min)
• Final interview with Engineering Manager (60 min).

Quantum is a global technology partner delivering high-end software products that address real-world problems. 

We advance emerging technologies for outside-the-box solutions. We focus on Machine Learning, Computer Vision, Deep Learning, GIS, MLOps, Blockchain, and more.

Here at Quantum, we are dedicated to creating state-of-the-art solutions that effectively address the pressing issues faced by businesses and the world. To date, our team of exceptional people has already helped many organizations globally attain technological leadership.

We constantly discover new ways to solve never-ending business challenges by adopting new technologies, even when there isn’t yet a best practice. If you share our passion for problem-solving and making an impact, join us and enjoy getting to know our wealth of experience!

About the position

Quantum is expanding the team and has brilliant opportunities for a proactive Senior Data Engineer who can design, implement, and evolve scalable data systems in AWS. We are building a greenfield analytics platform supporting both batch and real-time data processing. This role is a strategic blend of hands-on development, high-level architectural decision-making, and end-to-end platform ownership.

The client is a technological research company that utilizes proprietary AI-based analysis and language models to provide comprehensive insights into global stocks in all languages. Our mission is to bridge the knowledge gap in the investment world and empower investors of all types to become “super-investors.”

Through our generative AI technology implemented into brokerage platforms and other financial institutions’ infrastructures, we offer instant fundamental analyses of global stocks alongside bespoke investment strategies, enabling informed investment decisions for millions of investors worldwide.

Must have skills:

• 5+ years of experience in Data Engineering
• Strong hands-on experience with Apache Spark (including Structured Streaming)
• Experience building both batch and streaming pipelines in production environments
• Proven experience designing AWS-based data lake architectures (S3, EMR, Glue, Athena)
• Experience with event streaming platforms such as Apache Kafka or Amazon Kinesis
• Experience implementing lakehouse formats such as Delta Lake
• Strong understanding of partitioning strategies and schema evolution
• Experience using SparkUI and AWS CloudWatch for profiling and optimization
• Strong understanding of Spark performance tuning (shuffle, skew, memory, partitioning)
• Proven track record of cost optimization in AWS environments
• Experience with Docker and CI/CD pipelines
• Experience with Infrastructure as Code (Terraform, AWS CDK, or similar)
• Familiarity with monitoring and observability practices
• Upper-Intermediate or higher English proficiency (spoken and written)

Would be a plus:

• Experience in the financial domain
• Experience running Spark workloads on Kubernetes
• Exposure to or interest in Large Language Models (LLMs) and AI integration
• Experience implementing data quality frameworks or metadata/lineage systems

Your tasks will include:

• Design and implement batch and streaming data pipelines using Apache Spark
• Build and evolve a scalable AWS-based data lake architecture
• Develop and maintain real-time data processing systems (event-driven pipelines)
• Own performance tuning and cost optimization of Spark workloads
• Define best practices for data modeling, partitioning, and schema evolution
• Implement monitoring, observability, and data quality controls
• Contribute to infrastructure automation and CI/CD for data workflows

• Participate in architectural decisions and mentor other engineers

   

We offer:

• Delivering high-end software projects that address real-world problems
• Surrounding experts who are ready to move forward professionally
• Professional growth plan and team leader support
• Taking ownership of R&D and socially significant projects
• Participation in worldwide tech conferences and competitions
• Taking part in regular educational activities
• Being a part of a multicultural company with a fun and lighthearted atmosphere
• Working from anywhere with flexible working hours

• Paid vacation and sick leave days

   

Join Quantum and take a step toward your data-driven future.

Why this role exists:

We are looking for an AI / Generative AI Engineer to join our AI team and contribute to LLM-based systems used in production.

In this role, you will work on Generative AI solutions such as chatbots, AI assistants, MCP-based services (Model Context Protocol servers), and other LLM-powered components. These systems support knowledge-driven workflows, AI-assisted interactions, and AI automation across the platform.

You will work within an existing ML and data platform, contributing to systems that are practical to operate, observable, and reliable. The role is hands-on and engineering-focused, with guidance from senior engineers and clear ownership boundaries.

This is not a research role and not limited to prompt writing. The focus is on building, integrating, and operating GenAI systems as part of real products and internal tools.

What you’ll drive:

• Implement and maintain LLM-based features and services under guidance;
• Build and improve chatbots and conversational AI systems with predictable behavior;
• Contribute to AI-assisted and AI-automated workflows that reduce manual effort;
• Work on RAG pipelines, including document ingestion, embeddings, retrieval, and generation;
• Implement parts of agent-style workflows (tool usage, step orchestration);
• Integrate GenAI components with existing backend services and APIs;
• Help monitor system behavior, performance, and basic quality metrics;
• Participate in debugging issues and supporting systems in production;
• Collaborate with Product, ML Engineering, and Backend teams;

• Follow team standards for code quality, testing, and documentation.

   

What makes you a GR8 fit:

• Solid background in software engineering;
• Hands-on experience with LLM-based systems or applications;
• Practical experience with: Large Language Models, RAG architectures and embedding-based retrieval, Chatbot or conversational system development, tool/function calling or structured LLM outputs;
• Familiarity with context or tool-serving patterns (e.g. MCP or similar concepts);
• Experience contributing to production systems;
• Basic understanding of performance, latency, and cost considerations;
• Experience working with cloud infrastructure (preferably AWS);
• Familiarity with evaluation or monitoring of AI systems;

• Strong engineering fundamentals (clean code, testing, debugging).

   

Tech Stack:

Experience with most tools listed below is expected, and openness to adopting new tools is part of the role.

Languages

• Python
• SQL (basic)

LLMs & GenAI

• Amazon Bedrock
• Third-party LLM APIs (e.g. OpenAI, Anthropic)
• Open-source models (LLaMA, Mistral/Mixtral, Qwen, or similar)
• Hugging Face ecosystem

Frameworks & Orchestration

• LangChain
• LangGraph
• Pydantic
• Langfuse

RAG & Retrieval

• Embeddings
• Vector stores: Qdrant, FAISS, OpenSearch, pgvector

Cloud & Infrastructure (AWS-first)

• AWS (ECS / EKS / Lambda)
• S3, OpenSearch
• API Gateway

Dev & Ops

• Docker
• Git
• CI/CD

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client and role: 
We are looking for a Computer Vision Engineer to join a distributed team that develops motion detection features for both Cloud and Edge environments, ensuring high performance and adaptability for diverse deployment needs. 
You will be responsible for day-to-day research tasks, such as setting up hypotheses,
gathering data for experiments, training and validating ML models, validating results, and writing a paper on your results.

Responsibilities:
- Develop innovative machine learning algorithms. Implement advanced methods and technologies in model development
- Analyze large datasets to identify correlations and patterns. Visualize research results for clearer interpretation
- Tune hyperparameters and optimize algorithms. Improve models to enhance their performance and accuracy
- Provide consultations and collaborate with colleagues from other departments
- Report progress and project achievements to management
- Explore and evaluate new technologies in the field of machine learning. Implement cutting-edge ideas and techniques into production processes
- Engage in continuous self-improvement and technical skill development. Train and mentor junior colleagues to enhance the overall competence level within the team

Requirements:
- 5+ years in machine learning (computer vision domain)
- Practical experience in at least one of the following problems: classification, detection, segmentation
- Python3, NumPy, scikit-learn, pandas, SciPy
- Deep learning frameworks: PyTorch
- Experience in deploying machine learning models to production
- Good understanding of machine learning and deep learning concepts
- Good written and spoken English

Nice to have:
- Practical experience with GANs, VAEs
- Probabilistic programming and bayesian framework
- Model optimization: pruning, quantization, knowledge distillation
- Basic understanding of web and client-server architecture
- asyncio, aiohttp, and other async libraries for back-end
- Basic understanding of Big Data, understanding of difference between MapReduce and in-memory processing
- Algorithms, data structures
- SQL, NoSQL
- Docker, Kubernetes, Kubeflow
- С++, Bash

The company offers:
- The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member
- Competitive compensation and perks
- Gig-contract
- 21 paid vacation days per year, paid public holidays according to the Ukrainian legislation
- Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves
- Medical insurance is provided from day one. Sick leaves and medical leaves are available
- Remote working mode is available within Ukraine only
- Free meals, fruits, and snacks when working in the office.

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client and role: 
We are looking for a Computer Vision Engineer to join a distributed team that develops motion detection features for both Cloud and Edge environments, ensuring high performance and adaptability for diverse deployment needs. 
You will be responsible for day-to-day research tasks, such as setting up hypotheses,
gathering data for experiments, training and validating ML models, validating results, and writing a paper on your results.

Responsibilities:
- Develop innovative machine learning algorithms. Implement advanced methods and technologies in model development
- Analyze large datasets to identify correlations and patterns. Visualize research results for clearer interpretation
- Tune hyperparameters and optimize algorithms. Improve models to enhance their performance and accuracy
- Provide consultations and collaborate with colleagues from other departments
- Report progress and project achievements to management
- Explore and evaluate new technologies in the field of machine learning. Implement cutting-edge ideas and techniques into production processes
- Engage in continuous self-improvement and technical skill development. Train and mentor junior colleagues to enhance the overall competence level within the team

Requirements:
- 3+ years in machine learning (computer vision domain)
- Practical experience in at least one of the following problems: classification, detection, segmentation
- Python3, NumPy, scikit-learn, pandas, SciPy
- Deep learning frameworks: PyTorch
- Experience in deploying machine learning models to production
- Good understanding of machine learning and deep learning concepts
- Good written and spoken English

Nice to have:
- Practical experience with GANs, VAEs
- Probabilistic programming and bayesian framework
- Model optimization: pruning, quantization, knowledge distillation
- Basic understanding of web and client-server architecture
- asyncio, aiohttp, and other async libraries for back-end
- Basic understanding of Big Data, understanding of difference between MapReduce and in-memory processing
- Algorithms, data structures
- SQL, NoSQL
- Docker, Kubernetes, Kubeflow
- С++, Bash

The company offers:
- The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member
- Competitive compensation and perks
- Gig-contract
- 21 paid vacation days per year, paid public holidays according to the Ukrainian legislation
- Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves
- Medical insurance is provided from day one. Sick leaves and medical leaves are available
- Remote working mode is available within Ukraine only
- Free meals, fruits, and snacks when working in the office.

About us:
 

BetterMe — a global wellness ecosystem empowering millions to become better — physically, mentally, and emotionally. We build what makes people better and keep challenging ourselves to inspire others.
 

Your impact:

• Build AI agents for engineers that transform development workflows
• Automate routine engineering tasks (requirements refinement, coding, testing)
• Improve team velocity and reduce manual effort through AI-driven solutions
• Create internal best-practices guidelines for building and scaling AI agents
• Act as an Engineering × AI multiplier across teams
   

About you:

• 1+ year of hands-on experience building and integrating AI/LLM solutions
• Strong Software Engineering, AQA, SDET or DevOps background
• Practical experience with Context Engineering and RAG architectures
• Experience building multi-agent systems (n8n, Claude Code, Agents SDK, etc.)
• Strong hands-on experience with coding agents (Cursor, Claude Code, Codex)
• Proven ability to operate autonomously and deliver measurable results
• Systems thinker with strong time management and ownership mindset
   

Will be a plus:

• Understanding of infrastructure fundamentals, including MLOps principles, cloud platforms (AWS/GCP), and Kubernetes.
   

What you get at BetterMe:
 

A mission that inspires. Every line of code, every design, every idea helps millions of people become healthier and more confident.

Trust without micromanagement. You manage your time and make decisions independently. We value outcomes, not online hours.

Growth opportunities. 90% of our leads have grown within the company. There’s space for initiative, new responsibilities, and real career upgrades.

Flexible work format. Choose what works best for you — office, remote, or hybrid.

Wellness in practice. Offline: workouts with professional trainers in our corporate gym, massage, corporate lunches, sports, and team activities — everything you need to recharge and reset together. Online: regular online workouts, partner discounts, and free access to our products.

Health insurance & corporate doctor.

Time off & balance. 20 paid vacation days, paid sick leave, and additional days off around public holidays.

Open communication. Transparency across teams, honest feedback, and support for initiatives are part of our everyday culture.

Support for sports events. We cover entry fees and encourage the team to compete and participate together.

Modern equipment. We provide new hardware and everything you need for productive work.

Legal & finance support. Experienced lawyers and financial specialists are always there to help — from documents to personal consultations.

At UAI Labs, we build intelligent automation and AI solutions that help companies work smarter, faster, and at scale. We partner with Private Equity firms and their portfolio companies to fix broken and inefficient processes using a practical mix of RPA, AI and process redesign. With the focus on real business impact, not quick fixes. As a fast-growing startup, we work on diverse, high-impact challenges and turn ambitious ideas into solutions that truly scale. 

About the Role 

We are looking for a highly organised, analytical, and people-focused Business Analyst to join our delivery team. In this role, you will work closely with clients to understand their processes, uncover bottlenecks, translate business needs into clear requirements, and support the design of automation and AI solutions. 

You’ll play a key role in stitching together the business perspective, technical approach, and delivery roadmap, ensuring our solutions actually solve real problems. 

Responsibilities 

• Run discovery workshops to understand current processes, pain points, and opportunities 
• Document AS-IS and TO-BE processes with clarity and structure 
• Translate business requirements into functional specifications for developers 
• Support prioritisation and help shape automation roadmaps 
• Gather and validate data required for business cases 
• Collaborate closely with developers during solution design 
• Support UAT planning, execution, and defect triage 
• Create process-definition documents (PDDs), requirement specs, and user guides 
• Communicate with stakeholders at all levels to ensure alignment 

• Contribute to continuous improvement of delivery methods and documentation standards 

   

Required Skills & Qualifications 

• Bachelor’s degree in business, Engineering, Information Systems, or related field 
• 3-4 years of experience in business analysis, consulting, operations, or similar roles 
• Strong skills in mapping processes and identifying inefficiencies 
• Experience gathering and documenting requirements 
• Excellent communication and stakeholder management abilities 
• Strong analytical thinking and attention to detail 
• Ability to work in fast-paced, ambiguous environments 
• Previous experience in consulting or working directly with clients 

• Comfortable communicating in English, both spoken and writte.

  German language proficiency (C1/C2 or native level) is required for this role, as you will be communicating with German-speaking clients/partners on a daily basis. 

   

Preferred Qualifications 

• Experience with data analysis, automation, RPA, Process Mining, or AI-led transformation projects 
• Understanding of basic technical concepts (APIs, data flows, system integrations) 
• Experience working with tools like Miro, Visio, Lucidchart, or process mining platforms 

• Exposure to software development lifecycle (Agile/Scrum preferred) 

   

Who You Are 

• A clear communicator who can simplify complexity 
• Curious, structured, and naturally analytical 
• Comfortable engaging with both technical and non-technical teams 
• Someone who loves solving problems and asking “why does it work like that?” 
• A team player who takes ownership and drives work forward

Position Overview

As a Game Mathematician, you will own the mathematical design of our gaming systems — from core probability models to long-term behavioral dynamics of the game.

You will shape RTP, volatility curves, hit frequency, payout distributions, risk balance, and overall economic sustainability of each title.

This role requires deep theoretical knowledge, practical simulation skills, and the ability to collaborate closely with producers, designers, engineers, and compliance teams.

Responsibilities

• Develop and maintain detailed mathematical models for Slots, Crash Games, and Fast Games.

• Design and balance RTP, volatility, hit frequency, paytables, game curves.

• Model stochastic processes and RNG logic, ensuring correctness and predictability.

• Calculate probabilities and payout distributions across long-run simulations.

• Conduct large-scale simulations and statistical analysis of game behavior.

• Balance risk, retention, and economic KPIs of the product.

• Collaborate with producers to create optimal player experience.

• Work closely with engineers to validate correct technical implementation.

• Contribute to game logic design and innovative mechanics.

• Conduct competitive analysis of game mathematics and market trends.

• Participate in playtests and analyze real in-game behavior post-launch.

• Prepare complete mathematical documentation for certification and regulators.

Requirements

• Strong knowledge of probability theory, combinatorics, and mathematical statistics.

• Experience in slot or gambling game mathematics (3+ years).

• Practical experience designing and balancing RTP, volatility, and payout structures.

• Experience with stochastic modeling and simulations.

• Programming skills (Python, R, C++, MATLAB, or similar).

• Ability to clearly communicate mathematical decisions to cross-functional teams.

• English — Intermediate or higher.

Would Be a Plus

• Experience with crash or fast game mechanics.

• Experience with competitive math research.

• Understanding of player behavior and retention impact.

• Experience interacting with certification bodies and regulators.

What We Offer

• Direct influence on product economics and player experience.

• Real ownership of game mathematics and long-term performance.

• Competitive compensation.

• Professional growth inside a product-driven gambling studio.

• Flexible working format.

• Strong, collaborative team environment.

The client is one of the largest global independent private equity fund administrators, administering over $300 billion of private capital on behalf of its clients with offices in New York, San Francisco, Boston, Stamford, Dallas, and Luxembourg. They offer private fund sponsors a best-in-class combination of people, process, and technology, enabling fund sponsors to most effectively manage their operational infrastructure, financial reporting, and investor communications.

The client represents the most experienced and longest-tenured team in the private equity fund administration industry, with broad expertise across buyout, funds of funds, real estate, energy, infrastructure, credit, co-investment, hybrid funds, feeder funds, venture capital, retail, and managed accounts.

The project aims to provide well-prepared and formatted analytic data for the customer.

Responsibilities: 

Own the architecture and delivery of LLM-powered chatbot solution for enterprise financial platform. Responsible for orchestration logic, prompt engineering strategy, model governance and technical leadership across AI components.

• Define LLM orchestration architecture (single-agent pattern)
• Design prompt engineering strategy and system prompting
• Define model behavior guardrails and safety controls
• Lead golden dataset validation strategy
• Own AI risk mitigation (hallucination control, determinism limits)
• Collaborate with BE/FE/DevOps on integration
• Technical leadership & code review for AI components

Requirements: 

• 5+ years in AI/ML engineering
• Strong hands-on with LLM APIs Azure AI Foundry
• Prompt engineering in production systems
• Experience with RAG / structured API orchestration
• Understanding of AI governance & enterprise compliance
• Intermediate or higher level of English 

What is in for You: 

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.

The client is one of the largest global independent private equity fund administrators, administering over $300 billion of private capital on behalf of its clients with offices in New York, San Francisco, Boston, Stamford, Dallas, and Luxembourg. They offer private fund sponsors a best-in-class combination of people, process, and technology, enabling fund sponsors to most effectively manage their operational infrastructure, financial reporting, and investor communications.

The client represents the most experienced and longest-tenured team in the private equity fund administration industry, with broad expertise across buyout, funds of funds, real estate, energy, infrastructure, credit, co-investment, hybrid funds, feeder funds, venture capital, retail, and managed accounts.

The project aims to provide well-prepared and formatted analytic data for the customer.

Responsibilities: 

Own the architecture and delivery of LLM-powered chatbot solution for enterprise financial platform. Responsible for orchestration logic, prompt engineering strategy, model governance and technical leadership across AI components.

• Define LLM orchestration architecture (single-agent pattern)
• Design prompt engineering strategy and system prompting
• Define model behavior guardrails and safety controls
• Lead golden dataset validation strategy
• Own AI risk mitigation (hallucination control, determinism limits)
• Collaborate with BE/FE/DevOps on integration
• Technical leadership & code review for AI components

Requirements: 

• 5+ years in AI/ML engineering
• Strong hands-on with LLM APIs Azure AI Foundry
• Prompt engineering in production systems
• Experience with RAG / structured API orchestration
• Understanding of AI governance & enterprise compliance
• Upper-Intermediate or higher level of English

What is in for You: 

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.

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

About the Product

We are building a US-based, data-driven product with a strong focus on scalability, performance, and cost efficiency.

Our mission is to design a modern data platform that transforms raw behavioral and monetization data into reliable, actionable business insights — in near real-time.

For us, data engineering is not just about moving data.
It’s about:

• Designing resilient architecture
• Optimizing for performance and cost
• Building reliable automation
• Ensuring architectural integrity at scale
•  

Role Overview

We are looking for a Senior Data Engineer who will take ownership of the data platform architecture and drive technical excellence across ingestion, modeling, and performance optimization.

This role requires deep expertise in SQL, Python, AWS infrastructure, and modern data stack principles. You will not only build pipelines — you will define standards, lead architectural decisions, and proactively improve system efficiency.

You will play a critical role in ensuring that data flows seamlessly from event streams to business-ready datasets while maintaining high performance, reliability, and cost control.

What Makes This Role Senior-Level

As a Senior Data Engineer, you will:

• Own architectural decisions for the data platform
• Identify scalability bottlenecks before they become incidents
• Optimize data infrastructure for performance and cost
• Lead technical code reviews and set engineering standards
• Mentor mid-level engineers
• Act as a technical partner to Product and Analytics stakeholders
• Balance real-time and batch processing strategies strategically

Technical Requirements

Must-Have

Expert-Level SQL

• Complex analytical queries and window functions
• Query optimization and execution plan analysis
• Identifying and eliminating performance bottlenecks
• Reducing query complexity and compute costs
• Designing partitioning and clustering strategies

Python

• Advanced data manipulation
• Building scalable ETL/ELT frameworks
• Writing production-grade data services
• Automation and monitoring scripts

AWS Core Infrastructure

• AWS Kinesis Firehose (near-real-time data streaming)
• Amazon S3 (data lake architecture and storage optimization)
• Designing reliable ingestion layers

Version Control

• Git (GitHub / GitLab)
• Branching strategies
• Leading technical code reviews
• Enforcing best practices in code quality

Nice-to-Have

Modern Data Stack

• dbt (modular SQL modeling, documentation, testing)
• Experience structuring layered data models (staging → intermediate → marts)

Data Warehousing

• Google BigQuery
• Slot management
• Cost-efficient querying
• Storage and compute optimization

Advanced Optimization Techniques

• Partitioning
• Clustering
• Bucketing
• Storage layout optimization

Integrations & Infrastructure

• Salesforce data integration
• Docker / ECS
• CI/CD for data workflows

AI / ML Exposure

• Supporting feature pipelines
• Understanding data requirements for ML systems

Key Responsibilities

Data Platform Architecture

• Design and maintain a scalable real-time and batch data platform
• Architect ingestion pipelines using AWS Kinesis and Python
• Ensure high availability and reliability of data flows

Real-Time Processing

• Enable near-real-time (seconds–minutes latency) data processing
• Build systems for operational alerting and anomaly detection
• Ensure early detection of monetization and traffic issues

Data Modeling

• Transform raw event data into business-ready datasets using dbt
• Design scalable, maintainable schemas aligned with product evolution

Performance & Cost Engineering

• Optimize SQL queries and storage structures
• Design cost-efficient partitioning strategies
• Monitor and reduce warehouse and infrastructure costs
• Balance real-time and batch processing appropriately

Engineering Excellence

• Lead and participate in code reviews
• Enforce high standards of performance, security, and maintainability
• Improve observability and monitoring across pipelines

Cross-Functional Collaboration

• Work closely with Data Analysts and Product Managers
• Translate business requirements into scalable technical solutions
• Clearly communicate trade-offs between speed, cost, and complexity

Type of Data We Process

• User behavior events (page views, clicks, searches, conversions)
• Ad & monetization events (impressions, clicks, CTR, attribution)
• System and integration logs (latency, errors, rate limits)

Why Real-Time Is Critical

• Detect broken ads or impression drops before revenue is lost
• Identify traffic anomalies or abuse early
• Enable same-day operational intervention
• Prevent negative user and advertiser experience

Near-real-time (seconds to minutes latency) is required for operational awareness.
Batch processing remains important for historical analysis and reporting — but not for incident detection.

Working Schedule

• Monday – Friday
• 16:00 – 00:00 Kyiv time
• Full alignment with US-based stakeholders

What We Value

• Strong ownership mindset
• Strategic thinking about architecture
• Focus on scalability, reliability, and cost efficiency
• Proactive problem-solving
• Clear communication with both technical and non-technical teams
• Ability to think beyond “just making it work”

🚀AIMPROSOFT — Principal AI Platform Engineer Opportunity!

Aimprosoft is looking for a senior-level AI engineer who will design and lead the architecture of an enterprise-grade AI platform, evolving from an internal RAG-based assistant into a scalable, market-ready knowledge and automation product.

🎯About the role:

This is a principal-level role with high autonomy and architectural ownership. You will define the technical direction, key design principles, and long-term platform strategy for AI-powered knowledge discovery, semantic search, and business automation across multiple domains

🔑Core Responsibilities:

• Define the end-to-end architecture of an AI knowledge and automation platform
• Make independent decisions and lead the technical direction
• Design scalable retrieval systems beyond naive RAG implementations (semantic, document-level, process-level)
• Establish reasoning and orchestration patterns for multi-step business use cases
• Balance product vision, technical feasibility, and long-term maintainability
   

🔥What We Need From You:

• Proven experience designing production AI or search platforms from scratch
• Experience moving from single-use assistant to multi-domain, multi-use platforms
• API-first and platform-oriented system design
• Strong understanding of trade-offs in scale, latency, relevance, and cost
• Ability to design systems that remain explainable, debuggable, and governed
• Deep expertise in RAG, semantic search, and knowledge retrieval systems
• Vector databases, hybrid search, semantic indexing, and relevance ranking
• Architecture for document-, entity-, and process-level knowledge modeling
• Advanced LLM integration and reasoning design (structured, controlled, role-based)
• Proven experience with agent orchestration as a controlled architectural pattern including memory, tools, learning, task decomposition, etc
• Orchestration of AI workflows for automation use cases
• Experience with AI observability tools
   

📌 This Role Is Designed For Engineers Who:

• Enjoy thinking in platforms and long-term systems, not one-off features
• Are comfortable defining direction in ambiguous problem spaces where assumptions must be made explicit
• Care deeply about architectural clarity, system boundaries, and ownership
• Naturally reason about failure modes, trade-offs, and system limits
• Balance ambitious technical vision with practical constraints
• See governance, observability, and predictability as core parts of good engineering — not afterthoughts
   

💼What We Offer:

• A competitive salary that appreciates your skills and experience
• Cozy atmosphere and modern approaches. We have neither bureaucracy nor strict management nor “working under pressure” conditions
• Opportunity to implement your ideas, tools, and approaches. We are open to changes and suggestions aimed at improvement