Jobs Data & Analytics

Are you passionate about building large-scale cloud data infrastructure that makes a real difference? We are looking for a Senior Data Engineer to join our team and work on an impactful healthcare technology project. This role offers a remote work format with the flexibility to collaborate across international teams.

At Sigma Software, we deliver innovative IT solutions to global clients in multiple industries, and we take pride in projects that improve lives. Joining us means working with cutting-edge technologies, contributing to meaningful initiatives, and growing in a supportive environment.

CUSTOMER
Our client is a leading medical technology company. Its portfolio of products, services, and solutions is at the center of clinical decision-making and treatment pathways. Patient-centered innovation has always been, and will always be, at the core of the company. The client is committed to improving patient outcomes and experiences, regardless of where patients live or what they face. The Customer is innovating sustainably to provide healthcare for everyone, everywhere. 

PROJECT
The project focuses on building and maintaining large-scale cloud-based data infrastructure for healthcare applications. It involves designing efficient data pipelines, creating self-service tools, and implementing microservices to simplify complex processes. The work will directly impact how healthcare providers access, process, and analyze critical medical data, ultimately improving patient care.

Responsibilities:

• Collaborate with the Product Owner and team leads to define and design efficient pipelines and data schemas
• Build and maintain infrastructure using Terraform for cloud platforms
• Design and implement large-scale cloud data infrastructure, self-service tooling, and microservices
• Work with large datasets to optimize performance and ensure seamless data integration
• Develop and maintain squad-specific data architectures and pipelines following ETL and Data Lake principles
• Discover, analyze, and organize disparate data sources into clean, understandable schemas

Requirements:

• Hands-on experience with cloud computing services in data and analytics
• Experience with data modeling, reporting tools, data governance, and data warehousing
• Proficiency in Python and PySpark for distributed data processing
• Experience with Azure, Snowflake, and Databricks
• Experience with Docker and Kubernetes
• Knowledge of infrastructure as code (Terraform)
• Advanced SQL skills and familiarity with big data databases such as Snowflake, Redshift, etc.
• Experience with stream processing technologies such as Kafka, Spark Structured Streaming
• At least an Upper-Intermediate level of English 

Turbo Games - builds some of the fastest and most engaging crash games in the iGaming industry, offering 40+ Provably Fair titles enjoyed by players worldwide. As we continue to grow our high-load, real-time game ecosystem, we’re looking for an Anti-Fraud Analyst to be responsible for detecting, predicting, and preventing fraud through behavioral pattern analysis, risk model development, monitoring automation, and financial risk control 🚀

Key Requirements:
- 3+ years of experience in Anti-Fraud / Risk / Payments Fraud / Operations Analytics
- Practical experience in developing or improving anti-fraud systems for iGaming products (casino, slots, instant, crash)
- Practical experience in detecting and analyzing bonus abuse mechanics
- Experience in detecting fraud schemes, abuses, and system vulnerabilities
- Understanding and practical experience working with:
        - RTP, volatility, hit rate, and bonus mathematics
        - player behavioral analytics
        - approaches to multi-account detection
        - bonus mechanics and bonus abuse scenarios

- Experience in risk modeling/forecasting and development of “protection”, minimization of financial losses

Technical Requirements:
- Advanced SQL (CTE, optimization, window function)
- Python (pandas, numpy, scikit-learn) or R
- Experience working with large datasets – ClickHouse
- Basics of statistics and probability theory
- Preferably experience working in Power BI or a similar BI system
- Automation of reporting for daily fraud detection
 

Responsibilities:

- Analysis of financial and gaming indicators, as well as player activity
- Detection of: 
       - multi-accounting
       - bonus abuse schemes
       - bot behavior or the use of software for placing bets
       - RTP or win-rate anomalies (binomial / poisson modelling for win-rate anomalies)
- Development of risk segmentation and fraud scoring models
- Configuration of real-time monitoring, triggers, and alerts
- Automation of anti-fraud processes and development of risk infrastructure
- Work with BI dashboards, SQL queries, and game round logs
- Preparation of risk reporting, conclusions, and recommendations for business, management, and product-operational teams jointly with the Anti-Fraud specialists 
- Control and escalation of fraud risks
- Collaboration with Analytics, Backend, Product, and Operations teams
- Joint development of antifraud strategy and risk control system
 

Will be a plus:
- Experience in building risk-scoring or anomaly detection models
- Experience using (mathematical) statistical methods / ML in fraud analysis
- Work with fraud rules engines, antifraud platforms, or monitoring systems
- Experience in payments, KYC/AML, or high-risk geos (how to bypass KYC)
- Experience launching automated antifraud alerts and monitoring
- Understanding of how to abuse free spins / cashback
- Ability to prove with numbers the economic feasibility of blocking users (false positive effect)

We offer:
🧘‍♂️ Work-life balance — even in challenging times
- We have created an environment where it’s pleasant to work and grow. You’ll find the balance between work and leisure and feel what it’s like to be part of a team that truly values you.

💻 Work format
- Choose where and how to work — from home, the office, or anywhere in the world.
-  Flexible schedule — we value your life rhythm.

🎉 Atmosphere and development
-  Gifts, giveaways, training, team buildings, and corporate events — you’ll never be bored with us!
-  Internal training, mentoring, access to courses.
-  Career growth without bureaucracy.

🏝 Vacation and sick leave
 🗓 Annual paid leave: 20 working days + 5 additional days off
 💊 Paid sick leave: 15 days per year
 🧠 Professional support: access to psychologist consultations (compensation package may be extended)
 💻 Online development: regular webinars, workshops, and trainings on both professional and general topics

🚀 Why us?
If you are looking for a friendly and ambitious product company that:
-  Uses modern technologies,
-  Values initiative and independence,
-  Is focused on the constant development of the team and the product

Then we are waiting for you! 🤝

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.

About the position

Quantum expands the team in Central Europe and has brilliant opportunities for Data Science Engineers. 

If you are interested in working on areas related to Data Analysis, fintech, image processing, and solving real-world challenges with innovative technologies, apply for the vacancy below. 

Must have skills:

• At least 1,5 years of commercial experience as a Data Science Engineer
• Strong knowledge of linear algebra, calculus, statistics, and probability theory
• Knowledge and experience with algorithms and data structures
• Strong experience with Machine Learning
• Expertise in areas of Computer Vision or Natural Language Processing
• Knowledge of modern Neural Networks architectures (DNN, CNN, LSTM, etc.)
• Experience with at least one of the Deep Learning frameworks (Tensorflow, PyTorch)
• Experience with SQL
• Strong knowledge of OOP
• At least an Upper-Intermediate level of English (spoken and written)

Nice to have skills:

• Experience with production ML/DL frameworks (OpenVino, TensorRT, etc.)
• Docker practical experience
• Experience with Cloud Computing Platforms (AWS, GCloud, Azure)
• Participation in Kaggle competitions

Your tasks will include:

• Full-cycle data science projects
• Data analysis and data preparation
• Development of Machine Learning / Computer Vision / Deep Learning / NLP solutions; Developing models and deploying them to production
• Sometimes, this will require the ability to implement methods from scientific papers and apply them to new domains

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.

We are looking for a BI Analyst to join a short-term project on a part-time basis. The role focuses on Power BI reporting, data modeling, and analytical support.

Engagement Details

• Part-time: 21–80 hours per month
• Contract duration: 2–3 months
• Possibility of prolongation
   

Requirements

• English level: B1+ (written and spoken)
• Strong experience with Power BI:
  • report and dashboard creation
  • data visualization best practices
• Solid understanding of data modeling concepts
• Experience with SQL for data extraction and manipulation
• Knowledge of DAX for building calculations and measures
• Analytical mindset and attention to data quality
   

Responsibilities

• Develop and maintain Power BI reports and dashboards
• Work with datasets from multiple sources
• Build and optimize data models for reporting needs
• Create and maintain DAX measures and calculations
• Collaborate with stakeholders to clarify reporting requirements
   

    We are looking for an experienced Head of Analytics / Analytics Manager to lead the development and maintenance of company-wide reporting, manage core data sources, and drive the implementation of modern analytics and AI-enabled solutions. 
    This role combines hands-on expertise in Power BI, SQL, and Python with ownership of analytics processes, data quality, and a small analytics team. You will play a key role in ensuring reliable management reporting, supporting business growth, and evolving our analytics ecosystem.


Key Responsibilities

• Design, build, and maintain Power BI dashboards and reports for company management and business stakeholders ;
• Own and manage global data sources, including:
 - HRM system ;
 - Time tracking system ;
 - Agent schedules and workforce data ;

• Fully build and support reporting and data logic for the company’s main project, ensuring data accuracy and consistency ;

• Implement reporting for new projects, including: 
- Connecting to new data sources o Integrating data via APIs ;
- Creating new dashboards and data models; 

• Develop and improve data models and DAX calculations in Power BI ;

• Write and optimize SQL queries and data transformations; 

• Participate in the development of Microsoft Fabric capabilities within existing processes; 

• Coordinate implementation of ML / forecasting solutions together with external vendors; 

• Lead and manage a small team: Reporting & Data Analyst and Operational Analyst;
• Define priorities, distribute tasks, and review results;

• Ensure documentation, stability, and reliability of reporting solutions;

• Collect, process, and analyze Customer Experience (CX) data (CSAT, NPS, CES, QA scores, customer feedback, complaints, etc.)
• Build CX dashboards and analytical views to monitor service quality and customer satisfaction
  
  Required Qualifications
   
• Higher education in IT, Computer Science, Mathematics, Finance, or related field;
• 3+ years of hands-on experience with Power BI;
• Strong and practical knowledge of DAX;
• 3+ years of experience with SQL and building complex queries;
• 1+ year of experience with Python (for data processing / automation / ETL tasks);
• Experience connecting to external systems via APIs;
• Solid understanding of data modeling and BI best practices;
• Experience working with large datasets;
• English level: B1 or higher;

Nice to Have
 

• Experience with Microsoft Fabric (Dataflows Gen2, Lakehouse/Warehouse, Notebooks, Pipelines);
• Exposure to forecasting or machine learning concepts;
• Experience in BPO / Contact Center / Operations analytics;

What We Offer

• Opportunity to build and shape the analytics function
• Direct impact on management decision-making
• Participation in AI-driven analytics transformation
• Professional growth in a fast-scaling company

Join Innoneers – Shaping the Future of Software Engineering!
 

At Innoneers, we don’t just build software; we engineer innovation. We are a dynamic software development company dedicated to transforming complex business challenges into seamless digital experiences. Specializing in Web, Mobile, and Cloud solutions, we pride ourselves on our technical agility and "Engineering Excellence" mindset.
 

As we scale our operations, we are looking for a passionate Embedded ML Engineer to join our core team. If you thrive in an environment where clean code meets cutting-edge technology (Node.js, React, AWS, Python) and want to make a tangible impact on global projects in E-commerce, Fintech, and Logistics, Innoneers is the place for you.
 

WE WILL TRUST YOU WITH:

• Lead the design and implementation of state-of-the-art machine learning algorithms

  tailored for both real-world hardware and software applications;

• Build and optimize embedded ML models using PyTorch and NumPy, bringing them

  to life in embedded systems with C and Python;

• Analyze, benchmark, and fine-tune embedded ML pipelines to achieve latency,

  memory efficiency, and power optimization;

• Pioneer explainable AI techniques that provide actionable insights into model

  behavior and drive trustworthy solutions for our customers and end-users;

• Expand our ML toolkit by researching and integrating the latest methodologies,

  staying at the forefront of AI innovation;

• Establish scalable, reproducible workflows that set a standard for excellence in

  embedded ML development;

• Partner with a multidisciplinary team of hardware engineers, data scientists, and

  software developers to deliver integrated software and hardware application use

  cases;

• Provide critical algorithm insights to hardware development teams to facilitate

  seamless integration and performance optimization;

• Support the integration of ML models with hardware AI accelerators and

  neuromorphic processors;

• Collaborate with internal teams and clients to identify and design requirements for

  complex customer use cases;

• Translate customer needs into technical specifications and actionable project plans;
• Present findings and insights to stakeholders to inform decision-making and strategy;

• Mentor junior engineers and interns, fostering a culture of continuous learning and

  technical excellence within the team;

• Contribute to the creation of intellectual property, including patents and proprietary

  know-how.

   

YOUR EXPERIENCE INCLUDES:

• A BSc or MSc in a subject related to ML/Data Science/Statistics or relevant industry

  experience;

• Solid understanding of architecture specifications, and the ability to design and

  develop industry-standard embedded software and methodologies;

• 5+ years of hands-on experience in the development and deployment of AI solutions;
• Previous experience in Embedded or TinyML AI application development;

• Proficiency in C/C++ for logical programming for embedded software development

  and Python for ML model development;

• Strong experience with TensorFlow/PyTorch and Scikit-learn;
• Familiarity with hardware AI accelerator architectures and neuromorphic processors;
• Experience working with time series data/sensor data/real-time data processing;

• Proficiency in using version control systems.

   

WHAT YOU NEED TO SUCCEED:

• Strong analytical and problem-solving abilities with great attention to detail;

• Excellent communication skills for effective collaboration with cross-functional team

  and stakeholders;

• A proactive and self-motivated attitude toward learning and innovation.

   

WE OFFER YOU:

• A dynamic working environment around a fearless engineering culture;
• Ambitious teams with the freedom to innovate;

• A Flexible working environment (work from home policy, flexible working hours,

  advantageous holidays scheme ..);

• An inclusive company culture that embraces communication, diversity, and support

  around holistic and personal development.

Middle Computer Vision & ML Engineer — Founding Team

About Us

We are a newly funded MilTech startup building an on-premises platform for automated annotation of petabytes of UAV video and training computer vision models for autonomous flight. We have a strategic partnership with the largest Ukrainian UAV manufacturer and access to what is the largest privately owned UAV video dataset in the world. We are at the very beginning — the technical plan exists, the funding is secured, the data is real — and now we need the right people to turn it into reality.

The Role

We are looking for a Middle CV/ML Engineer to join as one of the first engineers on the team. You will work closely with the technical lead to build the ML pipeline from the ground up — implementing core components across data processing, model training, and deployment.

This is an early-stage startup, so the tech stack and processes are still being shaped. You will have real input into the tools and approaches we adopt, and your work will directly define how the platform operates. We are looking for someone who is hands-on, curious, and comfortable building things that don't exist yet.

What You Will Work On

Data Pipeline & Preprocessing
- Build video preprocessing pipelines: clip segmentation, frame extraction, scene detection, quality filtering
- Implement embedding extraction and data curation workflows for selecting diverse training subsets from a massive video corpus
- Prepare and export datasets in standard formats for training and annotation

Model Training & Experimentation
- Train and evaluate computer vision models for object detection, classification, tracking, and segmentation
- Run experiments, track results, and iterate on model architectures and hyperparameters
- Implement data augmentation strategies for robustness across weather, lighting, and occlusion conditions
- Contribute to distributed multi-GPU training pipelines

Active Learning & Annotation Support
- Implement auto-labeling pipelines with confidence-based routing
- Build tooling around the annotation platform (pre-annotation, format conversion, quality validation)
- Maintain automated quality checks for label consistency

Edge Deployment
- Export and optimize models for inference on NVIDIA Jetson (ONNX, TensorRT, FP16/INT8 quantization)
- Run accuracy and latency benchmarks on edge devices
- Help maintain the model delivery pipeline from training to deployment

What We Are Looking For

Must Have
- 3+ years of hands-on experience in computer vision and deep learning
- Solid PyTorch skills — comfortable writing training loops, custom datasets, and model code
- Experience with at least one detection or segmentation framework (YOLO family, Detectron2, MMDetection, or similar)
- Understanding of model evaluation metrics (mAP, IoU, precision/recall)
- Familiarity with experiment tracking (MLflow, W&B, or similar)
- Python as primary language; clean, well-structured code
- Comfortable working in Linux and containerized environments (Docker)

Nice to Have
- Model optimization experience (ONNX export, TensorRT, quantization)
- NVIDIA Jetson or other edge/mobile deployment
- Multi-object tracking (ByteTrack, DeepSORT, or similar)
- Experience with video processing pipelines (FFmpeg, OpenCV, decord)
- Data curation or annotation tools (FiftyOne, CVAT, Label Studio)
- Distributed training (DDP, Ray Train)
- UAV / drone / robotics or MilTech domain experience

Proposed Tech Stack

This is our starting point — the stack is still being finalized, and you will have input into the choices we make.

- Training: PyTorch, distributed training (DDP/FSDP) 
- Data processing: Ray Data or equivalent scalable framework 
- Data curation: FiftyOne, embedding-based selection 
- Annotation: CVAT with pre-annotation and active learning 
- Experiment tracking: MLflow 
- Edge: ONNX → TensorRT → NVIDIA Jetson 
- Infrastructure: Kubernetes, on-prem GPU cluster 
- Storage: S3-compatible object storage (Ceph) 

What We Offer

- Join an early-stage team where your contributions shape the product from day one
- Work across the full ML pipeline — not just one narrow piece
- The largest privately owned UAV video dataset in the world — petabyte-scale, impossible to replicate
- Dedicated on-prem GPU resources — no cloud queues or budget negotiations for compute
- Open-source-first approach with no vendor lock-in
- Grow fast in a small team with direct mentorship from the technical lead
- Competitive salary
- Stock option
 

The job purpose is to co-create a trusted data environment for the executive management and internal clients required for business decision-making by applying various data analysis, visualization tools, and techniques
You will work alongside BI and Data Analysts, DWH experts, contributing to the development and maintenance of the corporate reporting eco-system. You will have a chance to become a subject matter expert in SQL, Tableau reporting, take part in cross-functional projects of a global IT company

• Responsibilities:

  • Provide business performance reporting, manipulating, and joining different data sets in the most appropriate format for the stakeholders
  • Perform ad-hoc reporting, extracting data from corporate data sources
  • Provide regular reporting required for Executive meetings
  • Take part in cross-domain deep-dive projects, delivering and highlighting insights, facts, and trends for executive decisions
  • Take part in internal Reporting&Analytics initiatives aimed at further development, and improvement of a data-driven culture
  • Communicate with internal stakeholders: BI analysts, DWH, Business & Back-office streams (Sales, Billing & Contracting team), Executive Management

• Mandatory Skills Description:

  - Microsoft Excel: proficiency
  - Microsoft PowerPoint: advanced

• Nice-to-Have Skills Description:

  - Tableau
  - PowerBI
  - Confluence
  - SQL

About the Role

We are building a large-scale conversational AI platform focused on personalized human–AI interaction. The product operates at significant real-world scale, serving tens of millions of users and processing over 80 million tokens per day. The platform works in a complex domain that requires advanced alignment, moderation, and low-latency inference.

We are looking for a Tech Lead to take ownership of the LLM direction and lead a small team of AI engineers. This is a hands-on role combining system design, model development, and production engineering. The product operates in an uncensored / NSFW environment, which requires careful, context-aware moderation rather than simplistic safety filters.
 

What You Will Do

• Lead and build the LLM systems powering the core conversational experience. You will architect and evolve the core chat loop, including context windows, memory and RAG pipelines, and inference performance.
• Own the full model lifecycle, including prompt design, supervised fine-tuning, and preference optimization. You will make decisions on when to fine-tune models, when to redesign retrieval pipelines, and how to manage data quality at scale.
• Design and implement moderation and alignment systems suitable for an explicit environment. This includes building custom classifiers and moving beyond binary safe/unsafe decisions toward nuanced, context-aware moderation.
• Work closely with DevOps and backend teams to deploy, monitor, and continuously improve production systems used by millions of users globally.
   

Requirements

• You have 8+ years of engineering experience and a strong track record of shipping ML or LLM-based systems to production at scale.
• You are highly proficient in Python and PyTorch and familiar with modern LLM tooling and infrastructure.
• You are comfortable working with NSFW content and understand the technical and ethical challenges of moderating explicit conversational systems.
• You have strong intuition for LLM behavior, including how prompting, sampling, and alignment techniques affect model outputs.
• You prioritize practical, shippable solutions and take ownership of system reliability, performance, and user impact.
   

Team & Environment

You will lead a small LLM team and collaborate closely with DevOps and web/backend engineers. The environment emphasizes autonomy, direct communication, and a strong bias toward execution and measurable impact.

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

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.

What you’ll do: 

• You'll be the owner of all analytical aspects of your domains 

• Build and maintain reports, dashboards, and metrics, in addition to monitoring the integrity and validity of the data reported. 

• Use analytical tools, data mining, and business logic to consult the product team on various day-to-day tasks. 

• Analyze and optimize products and activities, take part in design and implementation, and be a key part of strategic product decisions.

 • Own and manage multiple data initiatives and projects both on an on-going and an ad-hoc basis. 

• Define alerts and monitor performance to improve processes efficiency 

• Provide supporting data for prioritizing new features and initiatives 

• Work closely with the Product, R&D, Operations and Business teams. 

What you’ll need: 

• 4+ years of experience working in a Product/Data/Business/Operations Analysis position in a high data-rich environment 

• Excellent proficiency in SQL 

• Excellent communication skills with the ability to deliver results of analyses clearly and effectively 

• Fast learning capabilities and proven ability to multitask - working on several projects at a time. 

• BSc/BA in a highly quantitative field such as mathematics, statistics, or engineering. 

• Proven experience working with AI tools for analytics 

• Experience in Tableau/Power BI/Looker - an advantage 

• Experience in analyzing datasets via an LLM tool - an advantage 

• Python/R experience - an advantage 

• Passion for sports - advantage

About the role: 

We are expanding our Business Analysis team and are looking for a Business Analyst with strong eCommerce experience who wants to move beyond execution and be closer to business and delivery decisions.

This role is a good fit for someone who already operates as a senior contributor and is ready to grow into a Lead role over time.

🔑 Responsibilities:

• Lead and own the Business Analysis practice
• Drive and oversee discovery phases from initiation to solution design
• Ensure consistent BA quality, standards, and best practices
• Mentor and guide Business Analysts; support team development
• Collaborate closely with delivery, sales, and clients
• Contribute to pre-sales activities (scoping, estimation, solution alignment)

Act as a trusted advisor during the discovery and delivery phases

🧩 Requirements :

• 4+ years of experience in Business Analysis, including senior or lead responsibilities
• Mandatory experience in eCommerce projects
• Strong background in discovery, requirements definition, and stakeholder alignment
• Experience in a service-based / delivery-driven environment
• Leadership mindset and ability to build processes and teams
• Strategic thinking beyond day-to-day delivery

Advanced English (spoken and written)

🌍 What We Offer:

• 🚀 A leadership role with real ownership — build and scale the BA function
• 🌍 International eCommerce projects with global clients
• 📈 Clear growth path toward Practice Lead / Head roles
• 🎓 Company-supported learning & leadership development
• 🌍 Fully remote work with a flexible schedule
• 🏝 Paid vacation & sick leave
• ❤️ Medical insurance & well-being support
• 💰 Competitive compensation
• 🔥 Transparent processes and a mature team culture

Dataforest is looking for a Business analyst to join our team. If you're looking for a challenging project and a friendly, supportive team, you've come to the right place to send your resume.

Skills requirements:
- 2+ years of experience in system, functional, or business analysis;
- English: Advanced and higher;
- Practical experience with key business analysis techniques and requirement management tools;
- Understanding of SDLC and agile development processes;
- Knowledge of business process modeling;
- Proficiency in identifying and translating business needs into clearly defined requirements;
- Experience in drafting functional / business / system requirement specifications;
- Experience in working with stakeholders and requirements elicitation;
- Critical thinking and problem-solving skills;

- Ability to decompose complex requirements into manageable tasks;

- Understanding of web development concepts and technologies.
- Excellent interpersonal and communication skills.

Nice to have:
- Experience in using SQL;
- Experience with integration projects.

Responsibilities:
- Communicating with stakeholders to identify their needs and clarify requirements;
- Analyzing, validating, grooming and documenting requirements to the projects;
- Visualizing business processes and preparing data models for the software projects;
- Advising stakeholders on the common practices and possible product solutions;
- Performing competitor and market analysis, assisting in developing product ideas;
- Communicating project vision and coordinating development with engineering teams;
- Participating in presales and estimates.

We offer:

- Opportunity to work with the high-skilled engineering team on challenging projects;

- Interesting projects with new technologies;

- Great networking opportunities with international clients, challenging tasks;

- Building interesting projects from scratch using new technologies;

- Personal and professional development opportunities;

- Competitive salary fixed in USD;

- Paid vacation and sick leaves;

- Flexible work schedule;

- Friendly working environment with minimal hierarchy;

- Team building activities, corporate events.

We are seeking an experienced Mid/Mid+ Data Scientist with expertise in Large Language Models (LLMs) such as GPT, Claude, and related technologies. The ideal candidate will have a strong background in natural language processing (NLP), machine learning, and deep learning models. They will play a critical role in developing and deploying cutting-edge LLM applications to drive innovation across our product lines.

Responsibilities:

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• Design, develop and optimize Large Language Models for various NLP tasks such as text generation, summarization, translation, and question-answering
• Conduct research and experiments to push the boundaries of LLM capabilities and performance
• Collaborate with cross-functional teams (engineering, product, research) to integrate LLMs into product offerings
• Develop tools, pipelines and infrastructure to streamline LLM training, deployment and monitoring
• Analyze and interpret model outputs, investigate errors/anomalies, and implement strategies to improve accuracy
• Stay current with the latest advancements in LLMs, NLP and machine learning research

• Communicate complex technical concepts to both technical and non-technical stakeholders

   

Requirements:

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• MS or PhD degree in Computer Science, Data Science, AI, or a related quantitative field
• 2-3+ years of hands-on experience developing and working with deep learning models, especially in NLP/LLMs
• Expert knowledge of Python, PyTorch, TensorFlow, and common deep learning libraries
• Strong understanding of language models, attention mechanisms, transformers, sequence-to-sequence modeling
• Experience training and fine-tuning large language models
• Experience with classical ML models - XGBoost, LightGBM
• Proficiency in model deployment, optimization, scaling and serving
• Excellent problem-solving, analytical and quantitative abilities
• Strong communication skills to present technical information clearly
• Ability to work collaboratively in a team environment

• Fluency in Ukrainian and English

   

Preferred:

• Research experience in LLMs, NLP, machine learning
• Experience working with multi-modal data (text, image, audio)
• Knowledge of cloud platforms like AWS, GCP for model training
• Understanding of MLOps and production ML workflows
• Background in information retrieval, knowledge graphs, reasoning

🟠 Details: we are looking for an ML/AI Engineer (ASR) to fine-tune and optimize an Automatic Speech Recognition system for Swiss German. In this role, you will work hands-on with PyTorch and Hugging Face to adapt pretrained ASR models, build reproducible training pipelines, and improve recognition accuracy through data quality refinement and controlled experimentation (WER/CER).

🟠 About the project: our client is advancing a speech recognition solution with a strong focus on dialect adaptation and real-world audio robustness. The current phase centers on dataset preparation and validation, model fine-tuning (e.g., Whisper), decoding and language-model optimization, and data-centric quality improvements to achieve production-grade transcription accuracy across diverse speakers and conditions.

🟠 Qualifications:

• Solid experience in automatic speech recognition (ASR) systems.
• Practical experience with model fine-tuning and evaluation, including metrics such as WER and CER.
• Strong hands-on proficiency with PyTorch and the Hugging Face ecosystem.
• Good understanding of decoding strategies (e.g., beam search) and integration of language models.
• Familiarity with data-centric AI approaches and dataset quality improvement practices.
• English language proficiency at B2 level (upper-intermediate) and above.

🟠 Would be a plus:

• Experience adapting models for multilingual or dialectal speech.

🟠 Responsibilities:

• Prepare and validate speech datasets, including audio—text alignment, normalization, and dataset splitting.
• Build and maintain reproducible training pipelines using PyTorch and Hugging Face tools.
• Fine-tune pretrained ASR models (e.g., Whisper) for target data and use cases.
• Apply established ASR training techniques such as SpecAugment, curriculum learning, and decoding optimization.
• Improve pseudo-label filtering workflows and overall training data quality.
• Design and run controlled experiments to evaluate models and reduce WER.
• Deliver reproducible training configurations, model checkpoints, and clear technical documentation.

🟠 Interview steps:

• Screening with Recruiter (about 30 minutes).
• Interview with Project Manager (about 30 minutes).
• Technical interview with ML Engineer (about 30 minutes).
• Call with the client (about 1 hour).

🟠 By joining us, you will get:

• Accounting coverage and lawyer support.
• Paid Vacations.
• Paid 4 paid public holidays (New Year, Independence Day, Day of the Defender of Ukraine, and Christmas).
• Flexible working hours and the possibility to work remotely.
• Best-class working equipment (laptop and accessories).
• Good conditions for skills development: the possibility of upgrading your English for business needs due to working time and 50% coverage for studying English; the offer of internal workshops; and wellbeing sessions as one-to-one meetings.

🟠 Our office in Lviv:

• FuturaHUB, located in Lviv (Kulparkivska 200a).
• An inspiring, modern workplace with a great atmosphere and development culture.
• “Happy Hours” parties.
• Yoga and sports training in FuturaHUB.
• Chill-out area: gaming zone with PlayStations, table tennis & table soccer.
• Beer, coffee, tea, cookies, etc.
• Conference rooms.

🟠 Some of our Values:

• No overtime and pressure.
• Regular rest and burnout control.
• Clean relationships within the company and with the client.
• Responsibility for the own development, ideas, and interests communication, as well as for the problems that stand in the way of this development.
• Openness to the new, readiness for changes.