Jobs Data & Analytics

We are looking for a Lead/Senior AI/ML Engineer to join our team!

Our client is an innovative technology division within one of the world's top-10 copper producers. The team focuses on leveraging AI, machine learning, and advanced analytics to optimize industrial operations, improve asset reliability, and support data-driven decision-making across global mining and production facilities. The role is focused on building intelligent solutions for predictive maintenance, anomaly detection, and asset performance optimization, helping reduce downtime and improve operational efficiency across large-scale industrial environments.

Part-time work is also possible (4 hours a day).

Responsibilities:

• Design, develop, and deploy machine learning models for predictive maintenance, anomaly detection, and asset health monitoring.
• Build and maintain production-grade ML pipelines for time-series forecasting and sensor/telemetry data processing.
• Collaborate with Data Engineers and Analytics Engineers on data preparation, feature engineering, and model integration.
• Integrate model outputs, risk scores, and predictive insights into operational dashboards and business applications.
• Establish and maintain MLOps processes, including model deployment, monitoring, retraining, and drift detection.
• Research and evaluate new AI/ML approaches, tools, and technologies to improve predictive capabilities and business outcomes.
• Work closely with business and technical stakeholders to translate complex analytical results into actionable recommendations.

Requirements:

• 5+ years of experience as a Machine Learning Engineer or Data Scientist.
• Strong Python skills and hands-on experience with Pandas, NumPy, Scikit-Learn, SciPy, and related ML libraries.
• Proven experience with time-series forecasting and predictive modeling techniques (ARIMA, Prophet, XGBoost, LSTM/RNN, etc.).
• Experience working with telemetry, IoT, sensor, or equipment performance data.
• Hands-on experience with Azure Machine Learning, Databricks, MLflow, or similar MLOps platforms.
• Strong SQL skills and experience working with both relational and non-relational databases.
• Experience building and deploying production-ready ML solutions.
• Strong analytical and problem-solving skills with the ability to translate technical insights into business value.

Nice to have:

• Master's or PhD degree in Data Science, Statistics, Engineering, Mathematics, Operations Research, or a related quantitative field.
• Experience in mining, manufacturing, heavy industry, utilities, or other asset-intensive domains.
• Knowledge of Operational Technology (OT) environments and reliability engineering concepts.
• Experience with enterprise asset management systems such as SAP PM or IBM Maximo.
• Familiarity with reliability methodologies such as RCM or FMEA.
• Experience with real-time data processing and anomaly detection on streaming platforms (Kafka, Azure Stream Analytics, etc.).

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

AWS Cloud Engineer

Softprom Solutions
Azerbaijan | Remote / Hybrid
Full-time | Contractor (Individual Entrepreneur)
Contract with Austria

About Softprom

Softprom Solutions is an international IT distributor and solutions provider working with leading global vendors in Cloud, Cybersecurity, Infrastructure, and Enterprise IT.

We are expanding our Cloud Practice and are looking for an AWS Cloud Engineer in Azerbaijan who wants to grow professionally, work on real customer projects, and collaborate with international teams under an Austrian contract.

About the role

This role is ideal for an AWS-certified engineer with solid fundamentals who wants to deepen hands-on experience in cloud architecture, deployments, automation, and customer-facing work.

You will work closely with senior architects, sales teams, and customers, participating in both technical delivery and pre-sales activities.

Responsibilities

• Support the design and documentation of AWS cloud architectures following the AWS Well-Architected Framework
   
• Participate in deployment and configuration of core AWS services, including
  VPC, EC2, S3, RDS, IAM, Lambda, Load Balancers
   
• Assist with AWS networking configuration:
  Subnets, Route Tables, Security Groups, NACLs
   
• Contribute to automation and Infrastructure as Code (IaC) initiatives using
  Terraform and/or AWS CloudFormation
   
• Create and maintain technical documentation for architectures and configurations
   
• Participate in customer meetings, presentations, and demos, explaining AWS solutions and capabilities
  
   

Requirements (Must have)

• Active AWS Certified Solutions Architect – Associate (SAA-C03)
   
• Solid theoretical understanding of AWS core services:
  Compute, Storage, Databases, Networking, Security
   
• Basic networking knowledge:
  TCP/IP (L3, L4), IP addressing, subnetting, DNS
   
• Understanding of cloud principles:
  High Availability, Fault Tolerance, Scalability, Security
   
• Basic Linux skills (command line)
   
• Ability to read and understand technical documentation in English
  
   

Nice to have

• Hands-on experience with Terraform or CloudFormation
   
• Basic scripting skills (Python, Bash)
   
• Familiarity with Docker, Kubernetes, ECS
   
• Personal, educational, or non-commercial projects deployed on AWS
  
   

Soft skills

• Strong motivation to learn and grow in cloud engineering
   
• Structured and analytical thinking
   
• Clear and confident communication
   
• Ukrainian or Russian — fluent
   
• English — reading technical documentation (spoken English is a plus)
  
   

We offer
 

• Individual Entrepreneur (FOP) / contractor model
   
• Official contract with Austria
   
• Full-time workload
   
• Real commercial AWS projects (not internal labs)
   
• Participation in architecture design and pre-sales activities
   
• Professional growth within Cloud & Solutions Architecture
   
• International customers and vendors
   
• Supportive, senior cloud team and mentorship

N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software,IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world. 

Our client is an innovative technology company developing advanced AI-powered solutions for enterprise and industrial environments. The organization focuses on leveraging artificial intelligence to optimize complex engineering, manufacturing, and supply chain processes through intelligent software platforms and data-driven decision-making.

The role supports two strategic AI initiatives aimed at transforming engineering and supply chain operations. The first program focuses on accelerating systems engineering lifecycles through NLP, Large Language Models, and automated compliance checking of complex technical and regulatory documentation. The second program is dedicated to predictive supply chain intelligence, including demand forecasting, spend analytics, supplier risk assessment, and anomaly detection. The technical environment includes enterprise ERP systems, engineering data models, Data Lakehouse infrastructure, and large-scale AI platforms integrated through RESTful services.

Responsibilities

• Design, develop, and deploy production-grade machine learning and AI solutions.
• Fine-tune and optimize Large Language Models (LLMs) for domain-specific use cases involving technical and regulatory documentation.
• Build NLP pipelines capable of extracting structured rules and business logic from unstructured text sources.
• Design and implement Retrieval-Augmented Generation (RAG) architectures for intelligent querying of large technical knowledge bases.
• Develop time-series forecasting models for spend prediction, demand planning, and supply chain optimization.
• Build machine learning models for supplier risk scoring, anomaly detection, and operational analytics.
• Create scalable data extraction, transformation, and feature engineering pipelines from structured and unstructured data sources.
• Collaborate with Data Engineers and Backend Engineers to integrate AI models into enterprise applications through RESTful APIs.
• Optimize model performance, scalability, and reliability for large-scale processing workloads.
• Validate model outputs, analyze model performance, and continuously improve prediction quality and accuracy.
• Work closely with Product Managers, Domain Experts, and Engineering teams to ensure business requirements are translated into effective AI solutions.

Requirements

• 5+ years of commercial experience in Data Science, Machine Learning, or Artificial Intelligence.
• Strong programming skills in Python.
• Hands-on experience with Pandas, NumPy, Scikit-learn, TensorFlow, and/or PyTorch.
• Strong experience with Natural Language Processing and transformer-based architectures such as GPT, BERT, Llama, or similar models.
• Experience with prompt engineering, fine-tuning, and implementation of Large Language Models.
• Proven experience designing and implementing Retrieval-Augmented Generation (RAG) solutions.
• Experience building and deploying machine learning models into production environments.
• Strong understanding of supervised and unsupervised machine learning techniques.
• Experience developing forecasting, classification, and predictive analytics models.
• Solid knowledge of statistics, probability theory, experimentation, and model evaluation methodologies.
• Experience working with SQL and/or NoSQL databases.
• Familiarity with complex data formats such as JSON and XML.
• Understanding of REST APIs and backend integration using frameworks such as Flask or FastAPI.
• Ability to quickly understand complex domain-specific terminology and translate business requirements into scalable AI solutions.
• Experience working within Agile or Sprint-based delivery environments.
• Strong analytical thinking, problem-solving, and communication skills.
• Upper-Intermediate or higher English level.

Nice to Have

• Experience with SAP S/4HANA or other ERP platforms.
• Experience working with Data Lakehouse architectures and large-scale enterprise data environments.
• Familiarity with specialized engineering data models or other specialized data structures.
• Experience with graph databases or graph-based data modeling.
• Knowledge of compliance automation, regulatory interpretation, or document intelligence solutions.
• Experience in manufacturing, industrial, supply chain, engineering, or other highly regulated industries.
• Exposure to MLOps practices and cloud-based AI/ML platforms.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Product:

Our client is a global technology company that builds products powering millions of websites worldwide. The platform is used by developers, designers, marketers, agencies, and enterprises to build, manage, and scale their web presence.

Operating in more than 160 countries, the company powers over 21 million websites and launches a new website every 10 seconds. Engineers joining the team will have the opportunity to work on infrastructure that supports millions of users and one of the largest-scale B2C environments in the industry.

The company follows an AI-first, data-driven, and human-led approach, combining innovation, scalability, and collaboration while building products used worldwide.

About the Role:

We're looking for a Senior DevOps Engineer in Poland/Warsaw to join the Cloud R&D team and help design, implement, and maintain highly scalable cloud infrastructure that powers millions of websites globally.

You will be responsible for improving infrastructure security, scalability, reliability, and automation while supporting the entire R&D organization through CI/CD, IaC, monitoring, and cloud operations.

You will work closely with development teams, optimize Kubernetes environments, participate in architecture decisions, and contribute to building large-scale systems that operate 24/7.

This role offers significant ownership, exposure to large-scale B2C infrastructure challenges, and the opportunity to become one of the first international DevOps engineers helping establish a future engineering presence in Poland.

Key Responsibilities:

• Continuously improve infrastructure to make it more secure, scalable, and robust.
• Design, build, and maintain CI/CD pipelines and Infrastructure as Code solutions.
• Support R&D cloud operations by developing automation tools and processes.
• Participate in architecture planning for cloud-based solutions.
• Optimize workloads and Kubernetes clusters.
• Build and maintain monitoring and observability solutions.
• Evaluate and implement new technologies for internal and external services.
• Collaborate closely with developers, engineering teams, and stakeholders across the organization.
• Participate in an on-call rotation (approximately one week every 1.5–2 months).

Required Competence and Skills:

• 5+ years of professional DevOps experience.
• 3+ years of hands-on Kubernetes experience.
• Hands-on experience with GCP or AWS
• Experience operating production environments.
• Experience with CI/CD tools such as GitHub Actions, Jenkins, or GitLab.
• Experience working with MySQL, MongoDB, and Redis.
• Strong communication and collaboration skills.
• Strong English communication skills.

Nice to Have:

• Experience with Terraform.
• Experience developing Kubernetes Operators.
• Experience operating highly available 24/7 production systems.
• Experience working in large-scale B2C environments.

Why Us:

We provide 20 days of vacation leave per calendar year (plus official national holidays of the country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a remote-first work model, with a potential future hybrid setup in Warsaw (up to 2 office days per week if a local office is established).

We offer a highly competitive compensation package with yearly performance and compensation reviews.

You will have the opportunity to work on infrastructure powering millions of websites and millions of users worldwide, solve large-scale engineering challenges, and collaborate with an international team in a product-driven environment.

About us

DroneOps is a company creating innovative UAV-related products, focused on UAV autonomy and navigation, founded in 2023. We are a team of innovators and inventors who take on the duty to help the armed forces of Ukraine defend our country and democracy by providing reliable advanced systems that simplify their work, improve personnel safety, and enable more cost-effective and precise UAV mission execution.

Overview

We are looking for a Middle / Senior Computer Vision / Deep Learning Engineer to extend our onboard navigation capabilities with modern perception and learning-based methods.

This is a hands-on R&D role: you work from research and prototypes to production on edge hardware, collaborate with software, and flight teams, and help shape how new CV/DL features are built and shipped. The role suits someone who can follow state-of-the-art work, implement what fits our constraints, and care about real-world performance—not only offline benchmarks.

Responsibilities

Relocalization & navigation

• Design and develop satellite, map, and semantic navigation capabilities that improve the overall quality of our navigation
• Build and maintain pipelines for map and reference-data preparation before missions
• Extend the existing visual-inertial navigation stack with relocalization and map-based aiding features
• Develop training pipelines for these tasks (data preparation, training, evaluation, and iteration)
• Create utilities that make map preloading and mission setup convenient for operators and integrators
•  

Research & implementation

• Track relevant research and industry approaches; prototype and adopt methods where they clearly improve the product
• Reimplement or adapt algorithms when off-the-shelf solutions do not fit our data, hardware, or latency requirements
• Define evaluation metrics and acceptance criteria for new features before field and deployment rollouts
•  

Edge deployment & production

• Optimize models and inference for target onboard hardware
• Integrate new features into the production codebase with stable APIs, logging, and failure handling
• Take part in architecture decisions, code review, and team practices that keep production quality high as the stack grows
•  

Required skills & experience

• 3+ years of practical experience in computer vision and deep learning
• Strong Python; ability to write clear, maintainable code for experiments and production paths
• Experience with training and deploying deep learning models (PyTorch)
• Familiarity with model optimization for edge or embedded devices (pruning, quantization, ONNX/TensorRT-class tooling, or equivalent)
• Comfort working with geospatial or map-related data and preprocessing pipelines
• Practical production mindset: reproducible experiments, versioning, and validation on real data
• English B2+ for documentation and technical discussion; Ukrainian for day-to-day team communication
•  

Nice to have

• Experience with deep learning keypoint detection and matching approaches
• Comfortable with geometric computer vision (camera models, epipolar geometry, robust estimation)
• Multi-sensor fusion / SLAM / EKF background
• UAV, robotics, or aerospace field experience
• Experience with satellite or aerial imagery, semantic segmentation, or visual place recognition
•  

What we offer

• Competitive salary
• Reservation from mobilization
• Impact on improving our country's defense capabilities
• 21 days of vacation + public holidays, sick leaves

We are looking for a Computer Vision Engineer with a solid foundation in classical computer vision and hands-on experience implementing low-level CV algorithms. The ideal candidate will have exposure to SLAM, Visual-Inertial Odometry (VIO), and sensor fusion, with responsibilities adjusted according to experience level.

Responsibilities: 

• Design, implement, and optimize classical CV algorithms independently
• Develop and maintain components of SLAM/VIO pipelines
• Contribute to sensor fusion modules involving visual and inertial data
• Lead experiments, evaluate model performance, and propose improvements
• Review research papers and translate findings into practical solutions
• Collaborate across teams to ensure smooth integration of CV components.

Required Qualifications:

• Strong practical experience with classical CV and geometric vision
• Hands-on experience developing components of SLAM and/or VIO systems
• Proficiency in C++ and confident working in Linux environments
• Solid understanding of multi-sensor systems and data fusion
• Proven ability to prototype, benchmark, and optimize CV algorithms
• Ability to analyze research papers and implement state-of-the-art methods.

Nice to Have:

• Experience with Python
• Knowledge of neural networks and CV libraries/frameworks (OpenCV, NumPy, PyTorch, ONNX, Eigen, etc.)
• Experience with sensor fusion techniques
• Familiarity with embedded or real-time systems

Are you a Data Scientist with a love of LLMs, generative AI?

We are looking for a passionate Data Scientist to implement AI solutions aimed at achieving business goals.

This role offers the opportunity to work on cutting-edge AI adoption projects that helps to improve current business processes.

Skills requirements:
• Strong Python Experience (1 year +);
• Experience with LLM , Diffusion models (1 year +);
• Knowledge of Prompt engineering;
• Experience with Gen AI-related technologies such as LangChain and RAG;
• Experience with Neural Networks (Optional) ;
• Experience with NLP , Predictive analytics and Machine learning;
• Experience with Pandas;
• Experience with SQL, including experience with large datasets;
• Strong experience in statistics;

Key responsibilities:
• Develop AI agents that utilize LLM, RAG and langchain approach;
• Implement LLM and Diffusion models to boost business productivity;
• Utilize LLM (LLM Vision) to improve object detection, text classification and extraction;
• Create forecasting, recommendation, and classification models;
• Transform business challenges to AI applications;

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary nominated in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

ABOUT THE COMPANY

We are an iGaming company with 3+ years of experience, 1,500+ team members, and a portfolio of 11+ successful products in Tier 1–3 markets. We are actively scaling new products and markets, building strong affiliate ecosystems, and strengthening our position within the industry.

ABOUT THE ROLE

We are launching a new Tier-1 project and need someone to build the analytics and fraud control system from scratch — from reporting setup to identifying revenue leak points and suspicious activity across the product.
 

WHAT YOU WILL DO

• Build the reporting system in Microsoft Power BI
• Set up key dashboards for Product, Marketing, Affiliate, and Payments teams
• Ensure data accuracy and completeness
• Analyze key metrics: FTD, conversion, ARPU, GGR, NGR, retention
• Analyze affiliate traffic quality and source performance
• Monitor the full funnel: visit → registration → deposit → gameplay → withdrawal
• Identify suspicious user behavior patterns
• Analyze multi-accounting, anomalies, and low-quality traffic
• Participate in building fraud prevention and anti-fraud logic
• Highlight problem areas and growth opportunities
• Provide recommendations to Product, CRM, Marketing, and Affiliate teams
• Analyze traffic and metric drops, anomalies, and inconsistencies
• Collaborate with Product, CRM, Payments, Marketing, and Affiliate teams
• Help teams make data-driven decisions
• Ensure transparency and consistency of metrics
• Verify correct tracking setup and event collection
• Work with data discrepancies and inconsistencies
• Conduct reconciliations for affiliate traffic and partner payouts
• Ensure unified understanding of metrics and traffic quality across teams
   

FIRST 30–60 DAYS

• Set up core dashboards in Microsoft Power BI
• Verify the accuracy of all key data and metrics
• Build reporting systems for Product, Marketing, Retention, and Affiliate teams
• Set up the main product funnel and key KPIs
• Conduct the initial product analysis and identify problem areas
• Highlight the first revenue leak points and growth opportunities
   

WHAT WE EXPECT AS OUTCOMES

• Fully operational analytics and reporting system
• Transparent and aligned metrics across teams
• Regular analytical insights and actionable recommendations
• Identified and partially resolved revenue leak points
• Established core fraud prevention and control processes
   

WHAT WE ARE LOOKING FOR

• 3+ years of experience as an analyst in iGaming / online casino — required
• Experience with product analytics and key business metrics
• Experience with fraud / risk analysis is a strong advantage
• Experience analyzing traffic and evaluating source quality
• Experience working with traffic acquisition data will be a plus
• Formal education is not critical — hands-on experience and practical skills matter most
   

Technical skills:

• Strong proficiency in Microsoft Power BI — required
• Experience working with data and building dashboards
• Understanding of key metrics: FTD, GGR, NGR, LTV, etc.
• Experience analyzing funnels and user behavior
• Basic SQL knowledge is preferred
• Tools: Microsoft Power BI, analytics systems / databases, tracking and event analytics tools
   

WHY JOIN US

• Fully remote work
• Competitive salary aligned with your expertise and contribution
• Paid vacation, sick leave, and an additional birthday day off
• Professional growth and continuous development opportunities
• Internal knowledge-sharing sessions and company events
• Fast decision-making without excessive bureaucracy
• Freedom from micromanagement and rigid hierarchies
• Dynamic environment with ambitious goals and expansion plans

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies. 

We are looking for a Business Analyst to join our team!

Join our team to grow up an exciting fintech product! Be part of a dynamic environment where you’ll have the opportunity to lead the creation of an innovative solution,
shaping it from initial system design to successful release. If you're passionate about fintech and want to make a real impact, this is the perfect opportunity for you!

Requirements
– 5+ years of experience as a Business Analyst, with proven expertise in requirements elicitation, analysis, and documentation in complex environments;

– A candidate should have proven, hands-on experience in developing, securing, and maintaining payment card, blockchain and cryptocurrency projects.
– In-depth knowledge of business analysis best practices, including writing user stories, acceptance criteria, and creating process flow diagrams;
– Experience with various requirement management frameworks and tools like Jira, Confluence, or equivalent;
– Practical experience conducting workshops, stakeholder interviews, and brainstorming sessions to gather and prioritize requirements;
– Strong experience with data analysis and modeling techniques, including interpreting complex datasets and translating them into actionable insights;
– Proven ability to identify gaps in processes or systems and propose effective business solutions;
– Hands-on experience creating and managing backlogs in Agile/SAFe environments, ensuring high-quality refinements and readiness for development;
– Experience of work on cross-functional projects, particularly in FinTech domains like payment systems, transfers, accounting systems or digital wallets.
– Understanding of financial products, particularly in areas such as accounting systems for payment solutions.
– Experience working with or analyzing payment processing systems, including blockchain-based solutions.

Will be plus

Will be plus:
– Experience with accounting systems, Card Issuing systems would be a plus.
– Knowledge of compliance and regulatory requirements in the FinTech industry.
– Experience with Payment Systems (any/few of these options: crypto payments, cards payments, SWIFT/SEPA payments)
– Familiarity with user flows and customer experience in payment platforms or transfer services, with a focus on delivering seamless and secure transactions.
– A genuine interest in financial innovation and emerging trends

Responsibilities:
Stakeholder and Cross-Team Communication
-Act as the main liaison between business stakeholders and development teams to translate business needs into actionable requirements;
-Actively contribute to the long-term strategic planning and development of the Accounting System project. Support the Product Owner in maintaining and updating the project roadmap in Jira to ensure alignment with business
initiatives. Own and manage the jira backlog, ensuring it is well-groomed and prepared at least one sprint ahead to facilitate smooth sprint planning
-Facilitate effective communication across teams to ensure alignment on business goals and technical implementation;
-Represent business requirements and progress in leadership meetings, ensuring alignment on priorities and objectives.
Requirements Gathering and Analysis
-Collaborate with stakeholders to identify and clarify business needs and translate them into detailed functional and non-functional requirements;
-Analyze and model current and future state processes to identify opportunities for improvement and efficiency;
-Ensure requirements are prioritized, structured, and aligned with business objectives.
Sprint Support and Backlog Management
-Collaborate with Product Owners and development teams to refine and manage the product backlog, ensuring items are ready for development;
-Assist in sprint planning sessions by ensuring clear requirements and priorities for the sprint;
-Continuously review and refine backlog items to ensure alignment with evolving business needs;
-Actively support sprint ceremonies, including daily stand-ups, backlog grooming, and retrospectives, providing clarification on requirements when needed.
Project Documentation and Knowledge Management
-Maintain up-to-date documentation in Confluence, ensuring all requirement-related information is easily accessible and current;
Collaboration with Technical Teams
-Work closely with developers and QA teams to ensure requirements are fully understood and implemented correctly;
-Provide ongoing support during the development and testing phases, answering questions, and clarifying requirements;
-Validate developed features against business needs and requirements to ensure they meet acceptance criteria.
Risk Management and Issue Resolution
-Proactively identify potential risks or issues that could impact requirement fulfillment or project timelines;
-Act as a problem solver to address requirement-related challenges and ensure delivery stays on track.

What are the conditions and bonuses?

☘️An exciting and challenging job in a fast-growing product company, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and other;

🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed;

📍Beautiful offices in Warsaw, Limassol work remotely or on-site with comfort and enjoy the opportunity to build a network of connections with professionals day by day;

🧑🏻‍💻Laptop & all necessary equipment for work according to the ecosystem standards;

🏖Paid vacations, personal events days, days off;

🫖Paid sick leave;

👨🏻‍⚕️Medical insurance;

💵Referral program enjoy cooperation with your colleagues and get the bonus;

📚Educational support by our L&D team: internal and external trainings and conferences, courses on Udemy;

🗣Free internal English courses;

🧘Sport benefit;

🦄Multiple internal activities: online platform for employees with quests, gamification and presents for collecting bonuses, RedCore talks club for movie and book lovers, board games cozy evenings, special office days dedicated to holidays;

🎳Company events, team buildings.

effie is an international software product company. We discover new and unconventional approaches to tackling business challenges by providing global cloud-based SaaS solutions, leveraging the sharing economy and AI capabilities.
In addition to developing innovative software products, we offer a full range of services, including deployment, training, administration, optimization, process automation, technical support, and business analytics consulting.
Our main expertise lies in optimizing business processes for manufacturers, distributors, merchandising agencies, and retail chains in the CPG (including FMCG) and pharmaceutical industries.

• 130+ team members
• 100+ clients across 13 countries, including PepsiCo, Coca-Cola, Nestlé, Shell, Nemiroff, Philip Morris, and others
• 27,000+ users of our services
• Microsoft Gold Partner
   

What We Value:

• Passion - You can only make customers happy if you truly love what you do
• Trust - The foundation of all relationships, inside and outside the company
• An Eye for Excellence - A deep appreciation for quality in every form
• Simplicity - The best things don’t need extra explanation

We are looking for a skilled Power BI Engineer to join our data team. You will be responsible for designing and delivering end-to-end analytics solutions — from connecting to raw data sources to publishing polished, actionable reports.
In this role you will work closely with the Business Analysis team to understand reporting needs and translate business requirements into reliable BI solutions. You will also collaborate with the teams responsible for data source changes, ensuring that any upstream modifications are properly handled and do not impact the stability of existing reports and datasets.
This role sits at the intersection of data engineering and business intelligence, requiring both technical depth and a good understanding of business context

Responsibilities:

• Connect to and work with data sources, primarily SQL-based (Azure SQL)
• Design and build semantic datasets in Power BI Desktop, including data models, relationships, and DAX measures
• Develop interactive reports and dashboards in Power BI Desktop and publish them to Power BI Service
• Build and maintain Microsoft Fabric entities: Warehouses, Data Pipelines, and Data Agents
• Optimize data models for performance and usability
• Maintain data accuracy and consistency across all BI assets
• Support report consumers and troubleshoot issues in existing reports and datasets
   

Requirements:

• 1+ years of experience with Power BI (Desktop and Service)
• Strong SQL skills — ability to write complex queries, CTEs, and stored procedures
• Solid understanding of data modeling concepts (star schema, snowflake schema)
• Hands-on experience with DAX — calculated columns, measures
• Understanding of row-level security (RLS)
• Strong attention to detail and ability to work independently
• Hands-on experience with AI-assisted development tools such as GitHub Copilot

Nice to have

• Knowledge of Python or PySpark for data preparation tasks
• Experience working with Microsoft Fabric: Warehouses, Data Pipelines, Data Agents
• Microsoft certifications: PL-300 (Power BI Data Analyst) or DP-600 (Fabric Analytics Engineer)

What we offer:

• Remote work model
• Office in Kyiv, a 15-minute walk from Sviatoshyn metro station, featuring a shelter and all necessary amenities for uninterrupted work during power outages and blackouts
• Free parking for cars, motorcycles, and bicycles
• 21 working days of paid vacation, plus paid sick leave
• 12 additional days off per year
• An experienced, open-minded team with global growth potential

Workload: full-time
Start: asap
Location: any
English: B2-C1
Budget: depending on experience, but affordable rates are more preferable to the client.

Job description
We are looking for an experienced Senior Data Engineer / Platform Engineer to help build and maintain reliable, scalable data infrastructure, pipelines, and tooling across analytics and product data stack. This is a full-time, 2-month engagement with strong potential for long-term extension (full-time or part-time)
You will play a key role in designing and improving the company's data ecosystem, ensuring that business and product teams have access to accurate, trustworthy, and actionable data.

About the Client
AI-driven product company focused on building intelligent agents that automate and enhance customer interactions across multiple channels.

What You'll Do

• Design, build, and maintain scalable ETL/ELT workflows.
• Improve data quality, reliability, and observability practices.
• Manage and enhance integrations between various systems and platforms.
• Collaborate closely with engineering, product, and implementation teams.
• Ensure data accessibility and consistency for analytics and operational use cases.

Requirements

• Minimum 5 years of experience in Data Engineering or Platform Engineering.
• Strong experience building and maintaining production-grade data systems.
• Hands-on experience with cloud data platforms, preferably Google Cloud Platform (GCP).
• Advanced SQL skills.
• Experience designing and supporting ETL/ELT pipelines.
• Experience with data orchestration and workflow management tools.
• Strong knowledge of MS SQL Server.
• Experience working with ClickHouse.
• Hands-on experience with Fivetran.
• Excellent verbal and written English communication skills.
• Ability to operate independently and thrive in a fast-paced environment.

Recruitment Process

• Pre-screen with the Recruitment Manager.
• Interview with Product Owner – discussion around experience, technical background, and project fit.
• "Vibe Coding" Session with Product Owner!!!

We are looking for an experienced Senior Data Scientist to join our team and help unlock the full value of data across our platform, products, and business operations. In this role, you will apply advanced analytics, machine learning, and statistical modeling to generate actionable insights, improve decision-making, and drive innovation across the organization.

Responsibilities

• Analyze large, complex datasets to uncover trends, patterns, and insights that support strategic business and product decisions.
• Build predictive models to forecast business outcomes, improve operational efficiency, and support decision-making across multiple functions.
• Design and implement feature engineering techniques to improve machine learning model performance and accuracy.
• Partner with cross-functional teams including product, engineering, operations, and business stakeholders to identify opportunities and translate them into scalable data science solutions.
• Clean, preprocess, and structure data from multiple sources to ensure high-quality inputs for analysis and modeling.
• Develop, test, and deploy machine learning models for use cases such as classification, regression, clustering, recommendation systems, and forecasting.
• Evaluate and optimize model performance using appropriate statistical and machine learning metrics.
• Create dashboards, reports, and visualizations that clearly communicate findings and recommendations to technical and non-technical audiences.
• Automate recurring analysis, reporting, and model workflows to improve efficiency and consistency.
• Monitor production models and continuously improve performance, reliability, and business impact over time.
• Stay current with the latest advancements in data science, machine learning, and AI, and apply relevant innovations to PredictSpring’s platform and operations.

Requirements

• Excellent communication skills, including fluent verbal English, with the ability to explain complex concepts to non-technical stakeholders and collaborate effectively across teams.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Scientist, with a strong background in machine learning, statistical analysis, and predictive modeling.
• Strong programming skills in Python preferred, or similar languages such as R, with hands-on experience using libraries such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
• Expertise in building and deploying machine learning models for classification, regression, time-series forecasting, recommendation systems, and related applications.
• Strong experience with data wrangling, feature engineering, and working with structured and unstructured datasets.
• Proficiency in SQL for querying, transforming, and analyzing structured data.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud for model deployment and data workflows.
• Experience with data visualization tools such as Power BI, Tableau, or Python visualization libraries.
• Strong analytical thinking, problem-solving ability, and a passion for applying data science to real-world business challenges.

Preferred Qualifications

• Familiarity with big data and distributed processing tools such as Apache Spark, Hadoop, or Databricks.
• Experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch.
• Experience with natural language processing techniques such as text classification, sentiment analysis, or large language model applications.
• Strong foundation in statistical analysis, experimentation, and hypothesis testing.
• Experience collaborating with or supporting data engineering teams in building scalable data pipelines.
• Familiarity with version control tools such as Git.
• Strong business acumen and the ability to align technical solutions with business goals.
• Experience in retail, e-commerce, omni-channel commerce, or POS technology is a strong plus.

Why PredictSpring?

• Join a market-leading company shaping the future of omni-channel retail and modern POS.
• Work on high-impact challenges at the intersection of commerce, data, and customer experience.
• Collaborate with a talented global team in a flexible remote work environment.
• Enjoy opportunities for growth, learning, and professional development.
• Contribute to products used by some of the world’s most recognized retail and lifestyle brands.
• Be part of an innovative, collaborative, and data-driven culture focused on delivering measurable business value.

We're looking for someone who is genuinely excited about AI and wants to help others use it better.

At LITSLINK, we already have AI/ML engineers working on client projects. However, we're looking for a person who will help grow our AI expertise across the company, support client-facing activities, share knowledge internally, and become one of the key AI advocates within the organization.

This role sits at the intersection of AI, business, education, and consulting.

What You'll Do

• Participate in AI-related presales activities and client meetings
• Help clients identify opportunities where AI can create real business value
• Stay up to date with the latest AI trends, tools, frameworks, and technologies
• Organize internal AI workshops, demos, and knowledge-sharing sessions
• Help teams adopt AI tools and improve their workflows
• Research, test, and evaluate new AI products and approaches
• Collaborate with AI/ML engineers and help distribute knowledge across the company
• Support internal AI initiatives and contribute to the growth of our AI practice
• Mentor and support team members who are exploring AI technologies
   

What We're Looking For

• Strong interest in AI and emerging technologies
• Understanding of modern AI concepts such as LLMs, AI Agents, RAG, MCP, AI Automation, and related technologies
• Technical background and understanding of software development processes
• Excellent communication and presentation skills
• Ability to explain technical concepts to both technical and non-technical audiences
• Experience working with AI tools in practice
• Upper-Intermediate or higher English level
   

Nice to Have

• Experience participating in presales or discovery sessions
• Experience conducting workshops, trainings, webinars, or presentations
• Background in AI/ML, Business Analysis, Product Management, Solution Architecture, Technical Writing, or Consulting
• Experience in outsourcing or consulting environments
• Personal AI projects, public speaking, blogging, or community involvement
   

Why This Role Is Different
This is not a traditional AI Engineering position.
You won't spend all day training models or writing production code.
Instead, you'll help shape how AI is adopted across teams, support client conversations, explore new technologies, share knowledge, and help both colleagues and clients navigate the rapidly evolving AI landscape.

If you're the type of person who constantly tests new AI tools, follows industry updates, and enjoys helping others understand and use AI more effectively, we'd love to talk to you.

We are looking for an experienced Data Engineer to leverage their skillset in a fast-paced financial trading environment. You will be responsible for designing, developing, and maintaining data pipelines and infrastructure across GCP , and Oracle-based systems, ensuring high-performance data flows that support trading, risk, and compliance functions. This role requires a deep understanding of cloud architecture, large-scale data processing, and a strong grasp of agile delivery practices.
 

About the client
 

An international consulting firm that helps companies of all sizes have a better impact on the world. Company capabilities focus on supporting the private and public sectors with their people, processes, and digital technology challenges.
 

What You Will Do
 

● Design, build, and maintain scalable data pipelines primarily within Google Cloud Platform
 

● Develop integration and transformation workflows between cloud data services and on-prem Oracle databases
 

● Work closely with trading, risk, and analytics teams to understand data requirements and deliver real-time and batch data solutions
 

● Optimise and monitor performance of data systems to support latency-sensitive trading applications
 

● Collaborate with cross-functional teams using Agile/Scrum methodologies to deliver business-critical data projects
 

● Ensure robust data governance, lineage, and compliance (including MiFID II, FCA, and other regulatory standards)
 

● Automate data workflows using Terraform, CI/CD pipelines, and containerisation tools (Docker/Kubernetes)
 

What you will bring
 

● Strong experience with Google Cloud Platform (GCP) e.g. BigQuery, DataPlex, DBT, Pub/Sub, Dataflow, S3, Glue, Redshift
 

● Expertise in Oracle SQL, PL/SQL, and working with complex stored procedures and large datasets
 

● Proficiency in programming languages such as Python, Java, or Scala
 

● Experience with streaming and messaging systems (e.g. Jenkins, GitLab), and container orchestration (Kubernetes)
 

● Experience working with Infrastructure as Code, preferably Terraform, to manage cloud data infrastructure.
 

● Deep understanding of data modelling, data warehousing, and ETL/ELT design patterns
 

● Familiarity with Agile development practices (Scrum, Kanban, Jira)
 

● Exposure to financial markets, trading systems, or related high-performance environments is a strong plus
 

Nice to have
 

● GCP certification (e.g., Professional Data Engineer or similar) will be considered a strong advantage.
 

● Experience with Amazon Web Services (AWS)
 

● Knowledge of regulatory reporting, market data, or trade surveillance systems
 

● Experience with Apache Airflow, DBT, or similar orchestration tools
 

● Understanding of data security practices and compliance frameworks

The CHI Software team is not standing still. We love our job and give it one hundred percent of us! Every new project is a challenge that we face successfully. The only thing that can stop us is… Wait, it’s nothing! The number of projects is growing, and with them, our team too. And now we need a Middle/Senior Data Engineer.
 

Requirements:

• 4+ years of experience as a Data Engineer;
• Completed Data Engineering Professional certification;
• Minimum 2 projects delivered with hands-on experience in development on Databricks;
• Experience in Apache Spark Programming with Databricks;
• Experience with Azure cloud;
• Upper-Intermediate English level.