Jobs Data & Analytics

About

EdSpan is an innovative company in the EdTech space, building cutting-edge learning experiences for the next generation of students. Our collaboration with a US-based private school network helps us better understand user needs while expanding our B2C and B2B products to a broader audience. We are currently working on three major projects:

AI tutoring experience — an innovative project that brings real-time interaction with a 3D animated assistant powered by LLM technology. This virtual tutor helps students navigate challenges, provides guidance, and enhances the learning journey in a playful and engaging way.

Tutorpeers – a peer-to-peer tutoring platform with a young teachers marketplace, event booking features and Zoom-like online sessions with additional interactive learning tools.

Spark Incubator – LMS-like system designed to teach kids entrepreneurship.

We have well-defined processes, trying to automate routine things, conduct code reviews, use CI and CD pipelines to validate and ship our code. We use the Agile approach with daily stand-ups, bi-weekly sprints, and other Scrum artifacts. We keep the number of meetings to a minimum so that engineers can focus on writing high-quality code and delivering cool features.

Who you are

We’re hiring our first AI/ML Engineer to lead the development of our AI agents, including prompting, the RAG and evaluation pipelines, potential fine-tuning. So, you’ll play a key role in shaping the technical direction. We’re seeking someone with a strong understanding of machine learning and NLP fundamentals, capable of tackling complex challenges in agentic workflows and optimizing model performance across the stack.

Requirements

• At least 4 years of experience in the field of Machine Learning, working as a Data Engineer, Data Scientist, Machine Learning Engineer, or in a similar role.
• Bachelor’s degree in Computer Science, Mathematics, or equivalent practical experience;
• Proficiency in Python and common data science libraries (pandas, NumPy, scikit-learn);
• In-depth knowledge of machine learning principles, understanding of LLM architectures, prompt optimization, and fine-tuning strategies;
• Skilled in designing and optimizing RAG pipelines, including embedding generation, sparse and dense retrieval, and hybrid search techniques;
• Familiar with LLM evaluation metrics and tools (BLEU, RAGAS, DeepEval, and other);

• Upper-Intermediate level of English (B2) or above.

   

Highly desireable

• Proven experience building AI-driven workflows using frameworks such as LangGraph, AutoGen, or similar orchestration tools;

• Knowledge of AWS cloud and MLOps.

   

Responsibilities

• Design, implement, and optimize LLM prompts to ensure reliable outputs;
• Assist in developing and maintaining AI evaluation workflows, including designing evaluation guidelines and metrics;
• Help design and develop AI data pipelines: collection, storage, annotation, and model improvement;
• Leverage agent orchestration tools to improve and automate AI workflows;
• Collaborate with the product team to ensure AI capabilities power usable product features.

       We are an international iGaming holding, actively growing and now launching a new online casino project on the LATAM market, with an emphasis on Argentina.

       We are looking for a data-driven and creative Retention CRM Manager to take ownership of player lifecycle management and CRM communications. You will develop retention strategies, design and execute multi-channel campaigns (email, SMS, push, in-app), and drive personalization and automation that maximize player LTV, reduce churn, and increase revenue.

Key Responsibilities:

• Develop and execute CRM and retention strategies tailored for online casino players
• Segment player base by key parameters (LTV, deposit frequency, activity, geo, etc.)
• Plan, launch, and optimize multi-channel CRM campaigns (email, SMS, push, in-app, WhatsApp, Telegram, etc.)
• Monitor, analyze, and improve retention funnels and player engagement metrics.
• Collaborate with Marketing, Analytics, and Product teams to create personalized offers and promotions.
• Track and optimize KPIs such as Retention Rate, Reactivation Rate, Churn Rate, ARPPU, LTV.
• Run A/B tests and implement data-driven improvements.
• Support local marketing activities for LATAM players.
  
   

Requirements:

• 2+ years of experience as a Retention Manager / CRM Manager in iGaming.
• Hands-on experience with CRM tools (Optimove, Smartico, Salesforce, Ometria, Emarsys or similar).
• Strong analytical skills and experience with BI tools (Tableau, Power BI, Looker).
• Expertise in customer segmentation and building user journeys.
• Deep understanding of retention and monetization metrics in iGaming.
• English (B2+) is required; Spanish is a strong advantage (especially for LATAM).
• Creativity and ability to generate engaging and relevant content for different audiences.
  
   

What we offer:

• Opportunity to become part of the launch of a large international project
• Freedom of action and influence on the brand strategy
• Work in a multicultural team of professionals
• Competitive remuneration and bonus system
• Prospects for career and professional growth within a large holding
• Remote work format
• Health and leisure care: paid vacation and sick leave 
• Quick decision making and freedom from micromanagement
   
   Are you ready to create a brand that will be a leader in LATAM? Then join the best and shape the future of the iGaming industry with us! 🚀

About the company:
       Our LATAM iGaming startup is more than a business, it is a place where ideas, talents and opportunities meet. 🤝
      As part of an international holding, we bring global expertise in the gaming industry to the Latin American market, while remaining close to the culture and needs of players.

       You can grow with us, influence the outcome and shape the gaming experience of the future.💯

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

What You Will Do:

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

Who You Are:

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

Will be a plus:

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

We’re looking for a Senior Business Intelligence Developer. This role is ideal for someone who enjoys transforming complex data into meaningful insights and wants to directly influence business decisions through high-quality BI solutions.

What You’ll Do

• Design, develop, and maintain interactive Tableau dashboards and reports
• Translate business requirements into clear KPIs, metrics, and analytical models
• Build and optimize Tableau data sources, extracts, and calculations
• Ensure dashboard usability, scalability, and performance following BI best practices
• Own BI solutions end-to-end — from requirements gathering through delivery and adoption
• Diagnose data quality and performance issues, ensuring long-term reliability of analytics solutions
• Present insights to stakeholders and support decision-making through data storytelling

We Are Looking For

• A self-driven BI professional, comfortable working in a remote setup, with 5+ years of experience in business intelligence or analytics roles
• Strong hands-on expertise with Tableau Desktop, Server, and/or Tableau Cloud
• Advanced SQL skills and solid understanding of relational data modeling
• Strong understanding of dashboard performance optimization and Tableau best practices
• English proficiency at B2 level or higher
• Proven ability to collaborate effectively in both asynchronous and synchronous environments

A strong ownership mentality, high attention to detail, and ability to connect data with business context

 

About the Role
We are seeking a skilled AI & Machine Learning Engineer with deep experience in computer vision, model development, and MLOps pipelines. 

The ideal candidate will work closely with robotics and software teams to design and deploy intelligent systems for automated blade
surface inspection, defect detection, and autonomous perception.

Key Responsibilities
• Design algorithms for feature extraction, defect classification, and visual analytics
• Develop and train deep learning models (CNNs, transformers) using PyTorch or
TensorFlow
• Create automated data ingestion, labeling, and preprocessing pipelines
• Integrate MLOps tools (Azure ML, MLflow, Kubeflow) for retraining, validation, and
deployment
• Optimize models for edge deployment (Jetson, Raspberry Pi) and ROS2 integration
• Ensure proper data management and maintain AI development documentation.

Requirements

• Proven experience (min. 8+ years) in computer vision, deep learning, and AI model
deployment
• Strong understanding of neural network architectures, data pipelines, and MLOps tools
• Familiarity with edge computing and ROS2 integration is a plus
• Fluent in English (asynchronous communication with global teams)

• An articulate English (due to asynchronous communication with a global, English-
speaking team)

• A home office with fast and stable internet connection (15Mb/s), modern laptop/PC,
noise-cancelling headset and access to a quiet workspace

 We are EverREST, a Salesforce & RevOps consulting firm. We help global companies turn chaos into revenue through system architecture. We are looking for an experienced Business Analyst to join our international team and bridge the gap between business needs and technical execution on high-ticket projects.

What You Will Do:
Analyze: Document and optimize complex business processes to build high-efficiency Salesforce solutions.
Facilitate: Lead workshops and discovery sessions to define needs, priorities, and project scope for global stakeholders.
Translate: Turn abstract business requirements into crystal-clear User Stories, Acceptance Criteria, and process documentation.
Collaborate: Work hand-in-hand with Salesforce Admins, Developers, and QA to ensure functional alignment and seamless delivery.
Validate: Manage UAT (User Acceptance Testing) and ensure the implemented features meet the highest quality standards.

What We Expect:
English: Advanced (C1). Your writing and verbal communication must be flawless, persuasive, and professional for daily interaction with international clients.
Enterprise Experience: Proven track record of working with large-scale Enterprise clients. You understand their internal structures, security requirements, and the complexity of global workflows.
Salesforce Expertise: 1.5–3 years of experience as a BA. You understand the Salesforce data model, objects, and platform logic (Sales, Service, or Experience Cloud).
Technical Writing: Mastery of creating structured documentation (Flow Diagrams, BRD, User Guides) within Agile/Scrum environments.
Result-Oriented: Focus on successful product adoption and business value, not just closing tickets.

Why Join EverREST?
Enterprise Projects: Hands-on experience working on large-scale, complex ecosystems for major international corporations.
No Micro-management: We care about results and trust experts to own their work.
Strong Delivery Culture: Flexible schedule, supportive team, environment that rewards initiative.

About Bitmedia Labs
Bitmedia Labs - an international product IT company, has been in the industry since 2014, effectively functioning on a worldwide scale with a crew of 130+ ambitious and highly skilled professionals, creating successful projects in domains such as online advertising systems for the crypto space, blockchain games, and NFT products.

We are currently looking for an experienced engineer to join our R&D project, contributing to cutting-edge development and innovation within the company.

Required Qualifications:
 

• 3+ years of software engineering experience, with 2+ years working with LLMs and generative AI
• Strong Python development skills in a production environment (clean code, typing, testing, Git)
• Experience with both proprietary (OpenAI, Anthropic, Gemini) and open-source LLMs (LLaMA, Mistral)
• Working knowledge of orchestration frameworks (LangChain, LlamaIndex)
• Hands-on experience building RAG pipelines and working with vector databases (Pinecone, Weaviate, Qdrant, pgvector, or similar)
• Experience with model fine-tuning techniques (LoRA, QLoRA, PEFT) and understanding of when to fine-tune vs. use RAG or prompt engineering
• Practical prompt engineering skills: structured outputs, function/tool calling
• Experience building backend services and APIs (FastAPI or Flask)
• Solid SQL skills and experience with databases (PostgreSQL, MongoDB, Redis, or Elasticsearch)
• Ability to debug LLM-specific issues (hallucinations, retrieval quality, cost/latency), work independently, and communicate technical decisions clearly.
   

Preferred Qualifications:
 

• Experience with agentic workflows and multi-step orchestration (LangGraph, CrewAI)
• Cloud deployment experience (AWS, GCP, or Azure), Docker, CI/CD
• Open-source model serving and inference optimization (vLLM, TGI, quantization, caching)
• Advanced retrieval techniques: hybrid search, reranking, query rewriting
• Familiarity with LLM evaluation and observability tools (RAGAS, DeepEval, LangSmith, Arize Phoenix)
• Knowledge of AI safety practices: prompt-injection prevention, PII handling, guardrails.

Hiring process: 
 

• Intro call with a Recruiter - Technical Interview with the Hiring team - Collection of Recommendations - Offer.
   

We offer:

• Flexible work environment - you can work remotely from anywhere;
• The 8-hour working day with a flexible schedule;
• Competitive salary based on your experience;
• Regular performance review and annual salary review;
• Paid sick leaves, vacation, and holidays;
• Professional development tools (reimbursement of educational courses or workshops, conferences around the world);
• Ambitious team with transparent communication and a friendly atmosphere, no micromanagement;
• Apple equipment;
• Memorable gifts for holidays.

Sigma Software provides high-quality services in software development, graphic design, testing, and support. Our solutions deliver value across diverse industries, including automotive, telecommunications, aviation, advertising, gaming, banking, real estate, healthcare, and others.

We are seeking a qualified Senior Business Analyst / Proxy Product Owner with extensive experience in data-driven projects of varying complexity, ideally with a strong background in Data Warehouse (DWH) development and BI reporting to join an internal company project.

In this role, you will play a key part in strengthening our Data Platform, enhancing data quality, and driving strategic initiatives through effective requirement gathering, in-depth problem analysis, and close collaboration with both internal and external stakeholders. This position combines classic business analysis with hands-on work involving data, dashboards, and analytical tools.

Responsibilities:

• Collaborate closely with stakeholders to gather, refine, and prioritize business requirements aligned with strategic objectives
• Work closely with product owners, development teams, QA engineers, and designers to ensure clear understanding and implementation of business requirements
• Analyze existing business processes and systems to identify areas for improvement and propose innovative solutions
• Create detailed documentation including process flows, user stories, and other artifacts to effectively communicate requirements and solution designs
• Critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details, abstract up from low-level information to a general understanding, and distinguish user requests from underlying real needs
• Develop and maintain BI dashboards and regular analytical reports using Apache Superset, and occasionally Power BI, Tableau
• Create report prototypes and analytical visualizations independently when needed
• Contribute to the automation, standardization, and optimization of reporting processes
• Conduct demo sessions for stakeholders and prepare user documentation to facilitate adoption of delivered solutions

Requirements:

• 3–4 years of professional experience as a Business Analyst working on data-intensive projects involving BI solutions, reporting, and data platform development
• Confident SQL skills and a solid understanding of data modeling principles
• Practical experience with BI tools (Superset, Power BI, preferably Tableau)
• Experience in building and presenting dashboards
• Strong understanding of iterative ways of working, especially Scrum
• Upper-Intermediate level of English

Will be a plus:

• Experience participating in the end-to-end development of a Data Warehouse / SSA layer from scratch
• Experience building BI prototypes or POCs independently before involving developers

Personal profile:

• A proactive mindset and the ability to dive deep into complex business problems
• Proven problem-solving and conflict resolution skills
• Strong results-oriented mindset
• Excellent communication skills, both written and verbal

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

We are looking for you!

As we architect the next wave of data solutions in the AdTech and MarTech sectors, we're looking for a Senior Data Engineer—a maestro in data architecture and pipeline design. If you're a seasoned expert eager to lead, innovate, and craft state-of-the-art data solutions, we're keen to embark on this journey with you.

Contract type: Gig contract.

Skills and experience you can bring to this role

Qualifications & experience:

• 6+ years of intensive experience as a Data Engineer or in a similar role, with a demonstrable track record of leading large-scale projects;
• Mastery in Python, SQL;
• Deep understanding and practical experience with cloud data warehouses (Snowflake, BigQuery, Redshift);
• Extensive experience building data and ML pipelines;
• Experience with modern Scrum-based Software Development Life Cycle (SDLC);
• Deep understanding of Git and its workflows;
• Open to collaborating with data scientists and businesses.

Nice to have:

• Hands-on experience with Dagster, dbt, Snowflake and FastAPI;
• Proven expertise in designing and optimizing large-scale data pipelines;
• Comprehensive understanding of data governance principles and data quality management practices;
• Understand marketing and media metrics (i.e., what conversion rate is and how it is calculated);
• Exceptional leadership, communication, and collaboration skills, with a knack for guiding and nurturing teams.
   

Educational requirements:

• Bachelor’s degree in Computer Science, Information Systems, or a related discipline is preferred. A Master's degree or higher is a distinct advantage.

What impact you’ll make 

• Lead the design, development, testing, and maintenance of scalable data architectures, ensuring they align with business and technical objectives;
• Spearhead the creation of sophisticated data pipelines using Python, leveraging advanced Snowflake capabilities such as Data Shares, Snowpipe, Snowpark, and more;
• Collaborate intensively with data scientists, product teams, and other stakeholders to define and fulfill intricate data requirements for cross-channel budget optimization solutions;
• Drive initiatives for new data collection, refining existing data sources, and ensuring the highest standards of data accuracy and reliability;
• Set the gold standard for data quality, introducing cutting-edge tools and frameworks to detect and address data inconsistencies and inaccuracies; 
• Identify, design, and implement process improvements, focusing on data delivery optimization, automation of manual processes, and infrastructure enhancements for scalability.

What you’ll get 

Regardless of your position or role, we have a wide array of benefits in place, including flexible working (hybrid/remote models) and generous time off policies (unlimited vacations, sick and parental leaves) to make it easier for all people to thrive and succeed at Star. On top of that, we offer an extensive reward and compensation package, intellectually and creatively stimulating space, health insurance and unique travel opportunities.

Your holistic well-being is central at Star. You'll join a warm and vibrant multinational environment filled with impactful projects, career development opportunities, mentorship and training programs, fun sports activities, workshops, networking and outdoor meet-ups.

We are looking for you!

As we continue to design and build data-driven solutions across diverse domains — we’re seeking a Data Engineer who thrives on transforming data into impactful insights. If you’re passionate about crafting robust architectures, optimizing data pipelines, and enabling intelligent decision-making at scale, we’d love to have you join our global team and shape the next generation of data excellence with us.

Contract type: Gig contract.

Skills and experience you can bring to this role

Qualifications & experience:

• 3+ years of intensive experience as a Data Engineer or in a similar role, with a demonstrable track record of leading large-scale projects;
• Mastery in Python and data stack (NumPy, Pandas, scikit-learn);
• Good Understanding of SQL/RDBMS and familiarity with data warehouses (BigQuery, Snowflake, Redshift, etc.);
• Experience building ETL data pipelines (Airflow, Prefect, Dagster, etc);
• Experience with modern Scrum-based Software Development Life Cycle (SDLC);
• Strong communication skills to explain technical insights to non-technical stakeholders.

Nice to have:

• Hands-on experience with Python web stack (Fast API / Flask);
• Proven expertise in designing and optimizing large-scale data pipelines;
• Comprehensive understanding of data governance principles and data quality management practices;
• Understand marketing and media metrics (i.e., what conversion rate is and how it is calculated).
• Exceptional leadership, communication, and collaboration skills, with a knack for guiding and nurturing teams.
  
   

Educational requirements:

• Bachelor’s degree in Computer Science, Information Systems, or a related discipline is preferred.

What impact you’ll make 

• Lead the design, development, testing, and maintenance of scalable data architectures, ensuring they align with business and technical objectives;
• Spearhead the creation of sophisticated data pipelines using Python, leveraging advanced Snowflake capabilities such as Data Shares, Snowpipe, Snowpark, and more;
• Collaborate intensively with data scientists, product teams, and other stakeholders to define and fulfill intricate data requirements for cross-channel budget optimization solutions;
• Drive initiatives for new data collection, refining existing data sources, and ensuring the highest standards of data accuracy and reliability;
• Set the gold standard for data quality, introducing cutting-edge tools and frameworks to detect and address data inconsistencies and inaccuracies; and
• Identify, design, and implement process improvements, focusing on data delivery optimization, automation of manual processes, and infrastructure enhancements for scalability.

What you’ll get 

Regardless of your position or role, we have a wide array of benefits in place, including flexible working (hybrid/remote models) and generous time off policies (unlimited vacations, sick and parental leaves) to make it easier for all people to thrive and succeed at Star. On top of that, we offer an extensive reward and compensation package, intellectually and creatively stimulating space, health insurance and unique travel opportunities.

Your holistic well-being is central at Star. You'll join a warm and vibrant multinational environment filled with impactful projects, career development opportunities, mentorship and training programs, fun sports activities, workshops, networking and outdoor meet-ups.

We are looking for an AI Engineer (Research & Development). As an AI Engineer, you will join the R&D team working on AI products and help scale the AI offering through marketing activity.

Skills and experience you can bring to this role!

Qualifications & experience:

• You are particularly interested in emerging AI tech, LLMs, and generative AI. You follow the news, new developments, and academic research. You are excited about its potential impact on product development in the upcoming years;
• You are interested in going beyond the technical side. You could work as a consultant, demonstrate an understanding of business and product aspects, and generate product ideas;
• You understand and can explain how business value could be generated out of the use of AI technologies;
• You have built ML/AI powered solutions and used available services & tools and/or built bespoke ML models/solutions;
• You've investigated the practical application of generative AI/LLMs through pet projects and PoCs, exploring ready-to-go products, and you can demonstrate or discuss the output;
• You have experience in LLMs/SLMs assessment, selection, and fine-tuning for the specific use case;
• You enjoy writing code, preferably in Python and have 3+ years of experience in commercial development;
• You know what prompt engineering, vector databases, embeddings, multi-stage reasoning, RAG, and MLOps are, and you have had a practical (could be non-commercial) experience with some of the listed things;
• You enjoy communication and can talk to both technical and non-technical stakeholders.

Nice to have: 

• You have previous experience in data engineering;
• You are active in the growing AI community, attend webinars, events, and meetups, or are interested in becoming active;
• You have some front-end experience building simple UIs to demonstrate solutions end-to-end or are open to gaining such;
• You are interested in developing a personal brand through participation in content creation in collaboration with marketing & AI Lab.

What impact you’ll make

• Participate in research and development activities by working on Star's internal AI products;
• Create proof of concepts for our clients and prospects, focusing on applying AI technologies;
• Monitor and research changes in the AI developer ecosystem and approaches and apply them in practice to develop Star's AI capabilities;
• Participate in client calls during late sales cycle stages, present technical expertise, and help build solutions; 
• Act as a subject matter expert on AI to assist with Star's marketing and branding efforts.

Skylum allows millions of photographers to make incredible images. Our award-winning software automates photo editing with the power of AI yet leaves all the creative control in the hands of the artist.

Join us on our mission to make photo editing enjoyable, easy, and accessible to anyone. You’ll be developing products with innovative technologies, providing value and inspiration for customers, and getting inspired in return.

Thanks to our incredible team of experts, we’ve built a collaborative space where you can constantly develop and grow in a supportive way. At the same time, we believe in the freedom to be creative. Our work schedule is flexible, and we trust you to give your best while we provide you with everything you need to make work hassle-free. Skylum is proud to be a Ukrainian company, and we stand with Ukraine not only with words but with actions. We regularly donate to various organizations to help speed up the Ukrainian victory.

We’re looking for a strong Product Analyst to join the Skylum team and work closely with our CPO and Product Managers. This role is not a service function – it’s a key partner in decision-making, helping drive product growth through data, insights, and experimentation.

What you’ll do:

• Collaborate closely with the CPO and Product Managers, proactively exploring data to uncover opportunities and share findings in a structured, actionable way, to define metrics, goals, and forecasts
• Deep dive into multiple data sources to understand how customers are interacting with our products and providing recommendations to assist in decision-making across the product areas
• Operational monitoring of key metrics and determining the causes of deviations from the expected values
• Proactively contribute to, own, create, and track OKRs for the Product teams, keeping them accountable throughout the quarter
• Form different hypotheses in the area of product development for increasing the metrics of retention and monetization
• Collaborate with teams to implement and assess the performance of A/B and MVT testing site-wide
• Research and conclude on results of A/B tests and provide insights for improvement
• Take part in exploratory and proactive analysis across the product areas and present these findings back to stakeholders
• Develop and maintain data visualization and KPI dashboards that reflect the best ways to simplify data for various audiences
• Provide analytical support to our marketing team to reduce the cost of traffic and increase marketing ROI
   

Requirements:

• Advanced SQL skills
• Knowledge of BI tools (preferably Tableau) – Must
• Experience with 3rd party product analytics systems (e.g. AppsFlyer, Amplitude, Firebase)
• Strong statistical foundations
• Solid knowledge of key product metrics, experience in building funnels and making recommendations based on them
• Critical thinking skills to recommend original and productive ideas
• Team player with strong communication skills
• Self learner and curious individual
• Good knowledge of working with agile/scrum methodologies within the SDLC
• Ability to operate with minimal direction, adapting to the needs of stakeholders and taking on feedback.

Not mandatory but would be a plus:
 

• Experience in R / Python
• Experience with data tooling i.e. Airflow/DBT or other ELT/ETL

What we offer:

For personal growth:

• A chance to work with a strong team and a unique opportunity to make substantial contributions to our award-winning photo editing tools;
• An educational allowance to ensure that your skills stay sharp;
• English and German classes to strengthen your capabilities and widen your knowledge.

For comfort:

• A great environment where you’ll work with true professionals and amazing colleagues whom you’ll call friends quickly;
• The choice of working remotely or in our office space located on Podil, equipped with everything you might need for productive and comfortable work.

For health:

• Medical insurance;
• Twenty-one days of paid sick leave per year;
• Healthy fruit snacks full of vitamins to keep you energized.

For leisure:

• Twenty-one days of paid vacation per year;
• Fun times at our frequent team-building activities.

If you are looking forward to working with true professionals and simply amazing people & product — we are waiting for your CV!

On behalf of our client, we are looking for a Senior React Frontend Engineer (Graph / Data Visualization Focus)

Responsibilities:

- Develop and optimize a modern SPA/SSR web application using React and TypeScript

- Build high-performance, interactive graph visualizations (filtering, drill-down, property panels, linked brushing)

- Visualize analytical outputs and ML-driven insights

- Implement dashboards and dynamic reporting (PDF/HTML export)

- Integrate REST/GraphQL APIs and ensure secure client-side data handling

- Implement authentication (OAuth2/OIDC) and role-based access control

- Ensure performance optimization for large-scale graph rendering (WebGL where applicable)

- Maintain CI/CD workflows, automated testing, and cross-browser compatibility

 -Work with graph databases and develop graph queries for pattern detection and analysis

- Implement applied graph algorithms and structural analysis

Requirements:

- 5+ years of experience with React in production environments

- 2+ years of hands-on experience in Graph / Data Visualization projects

- Strong TypeScript and modern JavaScript expertise

- Experience with web visualization libraries (D3, Plotly, ECharts, Vega-Lite)

- Experience with graph visualization libraries (Cytoscape.js, Sigma.js, or similar)

- Hands-on experience with graph databases and query languages

- Solid understanding of graph theory and applied graph algorithms

- Experience integrating REST or GraphQL APIs

- Experience with Git-based workflows

- Upper - Intermediate or higher level of English

Nice to Have:

- Experience with Graph ML & embeddings (node2vec, DeepWalk, GraphSAGE)

- Exposure to PyTorch Geometric or DGL

- WebGL optimization for large graph rendering

- Experience with CI/CD, containerization, and cloud deployment

Company offers:

- Long-term employment with possibilities for professional growth

- Fully remote work

- Reasonably flexible schedule

- 15 days of paid vacation

- Regular performance reviews

We are looking for a hybrid Graph Data Scientist and Web Visualization Engineer to work across two interconnected streams: advanced graph analytics and development of a production-grade web application for interactive data exploration and stakeholder reporting.

This role combines deep graph database expertise, algorithmic thinking, and strong frontend engineering skills to deliver both analytical insights and a robust, user-facing web platform.

Role Overview
The specialist will contribute across two complementary workstreams depending on project phase and priorities.

Workstream A – Graph Analytics & Algorithms (0–50%)
 

• Explore and understand complex graph schemas using database tooling
• Develop efficient graph queries to identify patterns and relationships
• Implement graph algorithms and pattern detection (e.g., link prediction, shortest paths, structural metrics)
• Perform statistical analysis of graph structure
• Collaborate with domain experts to refine hypotheses and analytical approaches

Workstream B – Frontend Web Application (50–100%)
 

• Define and prioritize features for a usable MVP and iterative product evolution
• Architect and implement a modern SPA/SSR web application (React/Next.js, Vue/Nuxt, or similar) using TypeScript
• Build high-performance, interactive graph visualizations with property panels, filtering, search, drill-down, and linked brushing
• Visualize ML model outputs and analytical results
• Deliver dashboards, dynamic reports (PDF/HTML export), and in-app narratives
• Integrate authentication (OAuth2/OIDC) and role-based access control
• Implement logging, telemetry, and issue tracking integration
• Ensure performance optimization for large-scale graphs (WebGL where applicable)
• Maintain CI/CD, automated testing, accessibility, and cross-browser compatibility

Technical Requirements

• Hands-on experience with graph databases and query languages
• Strong understanding of graph theory and applied graph algorithms
• Modern frontend development expertise (JavaScript/TypeScript + framework)
• Experience with web visualization libraries (D3, Plotly, ECharts, Vega-Lite)
• Experience with graph visualization libraries (Cytoscape.js, Sigma.js, etc.)
• API integration (REST/GraphQL) and secure client-side data handling
• Git-based workflows and structured release management

Nice to Have

• Graph ML & embeddings (node2vec, DeepWalk, GraphSAGE)
• PyTorch Geometric / DGL exposure
• Experience with multimodal scientific data (e.g., omics, imaging)
• WebGL optimization for large graph rendering
• Experience with CI/CD, containerization, and cloud deployment