Jobs Data & Analytics

We are seeking an experienced Data Scientist with a passion for large language models (LLMs) and cutting-edge AI research. In this role, you will design and prototype data preparation pipelines, collaborating closely with data engineers to transform your prototypes into scalable production pipelines, design and implement a state-of-the-art evaluation and benchmarking framework to measure and guide model quality, and do end-to-end LLMs training. You will work alongside top AI researchers and engineers, ensuring our models are not only powerful but also aligned with user needs, cultural context, and ethical standards.

What you will do

• Curation of datasets for pre-training, supervised fine-tuning, and alignment;
• Research and develop best practices and novel techniques in LLM training and evaluation pipelines;
• Collaborate closely with data engineers, annotators, linguists, and domain experts to scale data processes, define evaluation tasks and collect high-quality feedback.

Qualifications and experience needed
Education & Experience:

• 3+ years of experience in Data Science or Machine Learning, preferably with a focus on NLP;
• An advanced degree (Master’s or PhD) in Computer Science, Computational Linguistics, Machine Learning, or a related field is highly preferred.

GenAI & NLP Expertise:

• Practical experience with fine-tuning LLMs / VLMs models;
• Hands-on experience with modern NLP approaches, including embedding models, semantic search, text classification, sequence tagging (NER), transformers/LLMs, RAGs.

ML & Programming Skills:

• Strong experience with deep learning frameworks such as PyTorch or JAX for building models;
• Ability to write efficient, clean code and debug complex model issues.

A plus would be
Advanced NLP/ML Techniques:

• Applied experience using Reinforcement Learning in NLP / LLM settings;
• Prior work on LLM safety, fairness, and bias mitigation;
• Experience generating and curating synthetic datasets for Supervised Fine-Tuning (SFT), including quality control and scaling considerations.

Research & Community:

• Publications in NLP/ML conferences or contributions to open-source NLP projects;
• Active participation in the AI community or demonstrated continuous learning (e.g., Kaggle competitions, research collaborations) indicates a passion for staying at the forefront of the field.

MLOps & Infrastructure:

• Hands-on experience with containerization (Docker) and orchestration (Kubernetes) for ML, as well as ML workflow tools (MLflow, Airflow);
• Experience in working alongside MLOps engineers to streamline the deployment and monitoring of NLP models;
• Experience with cloud platforms (AWS, GCP, or Azure) and big data technologies (Spark, Hadoop, Ray, Dask) for scaling data processing or model training is a plus.

Problem-Solving:

• Innovative mindset with the ability to approach open-ended AI problems creatively;
• Comfort in a fast-paced R&D environment where you can adapt to new challenges, propose solutions, and drive them to implementation

What we offer

• Office or remote — it’s up to you. You can work from anywhere, and we will arrange your workplace;
• Remote onboarding;
• Performance bonuses;
• We train employees with the opportunity to learn through the company’s library, internal resources, and programs from partners;
• Health and life insurance;
• Wellbeing program and corporate psychologist;
• Reimbursement of expenses for Kyivstar mobile communication.

Description

We are looking for a Middle/Senior DWH Engineer to design, build, and maintain scalable data warehouse solutions that power analytics and business decision-making. You will work across the full data lifecycle — from ingestion and modeling to optimization, reliability, and automation — collaborating closely with analysts, developers, and business stakeholders.

Requirements

• Strong SQL skills: complex queries, CTEs, window functions, analytical queries (5+ years experience);
• Knowledge of Python or other scripting languages for data transformations (3+ years experience);
• Deep understanding of DWH concepts: ETL/ELT, Data Vault, Kimball, Star/Snowflake schemas (4+ years experience);
• Experience with Airflow or other data pipeline orchestrators (3+ years experience);
• Hands-on experience with modern DWH and query engines: BigQuery, Snowflake, Redshift, ClickHouse, Vertica, AWS Athena, Trino (2+ years experience);
• Confident use of Git; experience with team workflows (pull requests, rebasing, merge conflict resolution) (5+ years experience);
• Understanding of server and cloud infrastructure: basic skills in configuration, maintenance, monitoring, and load control (2+ years experience).

Nice to Have

• Experience with CDC tools and streaming data sources;
• Knowledge of Docker, Kubernetes, and Infrastructure as Code (Terraform);
• Experience with cloud platforms: AWS, GCP, or Azure;
• Familiarity with data governance, data cataloging, and lineage tools.

Responsibilities:

• Design, build, and maintain scalable Data Warehouse architectures aligned with business needs;
• Develop and optimize ETL/ELT pipelines using Python/Airflow and custom solutions;
• Work with DWH\Datalake: PostgreSQL, Trino, BigQuery;
• Implement incremental loads, CDC, backfills, and reprocessing strategies;
• Optimize query performance, data models, and pipeline execution;
• Ensure data quality through validation, automated testing, monitoring, and alerting;
• Integrate new data sources (APIs, third-party systems, raw data) without disrupting existing pipelines;
• Collaborate with analysts, engineers, BI teams, and business stakeholders to translate requirements into data solutions;
• Mentor engineers, review code, and contribute to data standards and best practices.

Benefits

💸 Flexible payment options: choose the method that works best for you;
🧾 Tax assistance included: we handle part of your taxes and provide guidance on the local setup;
🎁 Financial perks: Bonuses for holidays, B-day, work milestones and more - just to show we care;
📈 Learn & grow: We cover courses and certifications — and offer real opportunities to grow your career with us;
🥐 Benefit Сafeteria: Choose what suits you — sports, language courses, therapy sessions, and more;
🎉 Stay connected: From team-building events to industry conferences — we bring people together online, offline, and on stage;
💻 Modern Equipment: We provide new laptops along with essential peripherals like monitors and headphones for a comfortable workflow;
🕘 Your schedule, your rules: Start your day at 9, 10, or even 11 — we care about results, not clock-ins.

Who are we?

Fuel is on a mission to unlock billions of dollars in GDP by helping SMBs make better financial decisions every day. We manage over $500M in customer P&Ls through our FP&A platform, combining AI with hands-on CFO expertise to deliver enterprise-grade finance - without the enterprise price tag or complexity.

fuelfinance.me
instagram.com/fuelfinance
youtu.be/eI5VH2Ks9o4

Who are we searching for?

We’re looking for an AI Researcher who’s excited to build real AI features used by startup founders every day. You’ll help make our AI Copilot smarter, more accurate, and more helpful - working with modern LLMs, real financial data, and a team that moves fast. If you’re curious, hands-on, and ready to grow, you’ll enjoy this role.

Team structure: 1 Engineering Manager, 2 Senior Full-Stack Developers, 1 Middle Full-Stack Developer, an AI Researcher, and a Head of R&D (responsible for product management and product strategy).

What are your responsibilities?

• Help build and improve our AI Copilot - including many different AI agents that will help our users to work with the product and make decisions
• Create and refine prompts so the AI gives accurate, helpful, and user-friendly answers.
• Set up and improve systems that help the AI remember context during longer conversations and increase the accuracy rate of answers
• Work on making the AI faster and cheaper to run by optimizing latency, token usage, and retrieval quality.
• Integrate modern LLMs (GPT-4, Claude, etc.) into our product with proper error handling and safety checks.
• Use function calling, embeddings, vector search, streaming responses, and async processing to build new AI features.
• Experiment with different AI models and configurations to see what performs best in real scenarios.
• Stay up to date with the latest AI research and apply useful techniques to our product.
• Prototype new AI abilities - such as predictions, automated reasoning, or small autonomous agents.
• Create and maintain datasets and automated tests that check how accurate the AI is across financial use cases.
• Prepare and structure financial data for AI use, and help build data pipelines for RAG (Retrieval-Augmented Generation) systems.

What are the preferred requirements for the role?

Must-have skills:

• 1–2+ years of AI/ML experience (internships, projects, research, or work).
• Solid Python skills and ability to write clean, maintainable code.
• Experience with LLM APIs (OpenAI, Anthropic), embeddings, vector databases, and RAG systems.
• Understanding of prompt engineering fundamentals and LLM limitations.
• Ability to evaluate AI quality using structured datasets, metrics, and experiments.
• Knowledge of basic ML and NLP concepts (supervised learning, embeddings, evaluation metrics).
• Strong problem-solving mindset, fast iteration speed, and high ownership.

• English B2.

   

Nice-to-have skills:

• Experience with LangChain, LlamaIndex, or similar frameworks.
• Familiarity with Pinecone, Weaviate, Chroma, or other vector DBs.
• Knowledge of financial data logic or accounting basics.
• Understanding of AI safety, guardrails, and hallucination mitigation.

• Experience with experimental design, A/B testing, or statistical validation.

   

Reporting Structure

You will report to the Head of R&D and the Engineering Manager.

Recruitment Process:

• Recruiter interview
• Technical interview
• Test task
• Test task review call with the hiring manager (*optional stage)
• Cultural fit interview

Why work with us?

• Build applied AI that powers financial intelligence for global startups.
• Full ownership: what you ship goes directly into production and impacts real customers.
• Learn deep fintech and financial logic - rare, high-value expertise.
• Work directly with senior engineers and founders.
• Move fast, experiment often, and grow into a mid-level AI Researcher role quickly.
• Flexible schedule, 18 days of paid vacation, 10 paid sick days, and a low-ego team culture.

Responsibilities:

• Own and support core ML infrastructure (MLflow, CVAT, GPU/CPU cloud instances, internal data tools).
• Assist Data Engineers with deploying and maintaining data pipelines.
• Act as the primary contact for ML and Data teams on infra-related requests.
• Improve reliability and efficiency by adding automation, monitoring, and tooling enhancements.
   

Must have:

• Knowledge of Python, Terraform, Docker, Linux.
• Hands-on experience with cloud environments (Azure prefered).
• Understanding of the end-to-end ML lifecycle (data → training → evaluation → deployment → monitoring).

Nice to have:

• Familiarity with Kubernetes.
• Experience with FFmpeg or GStreamer for video processing and streaming.
• Experience with model serving frameworks and inference formats (ONNX, TensorRT, OpenVINO, NVIDIA Triton).
• Experience deploying computer vision models, especially to edge/embedded devices (NVIDIA Jetson, Intel platforms, Raspberry Pi).

• Надаємо бронювання від мобілізації

Softcery builds advanced AI systems for B2B SaaS companies. We partner with founders in the US and UK to design, build, and scale production-ready AI solutions that solve real business challenges. Our team focuses on complex AI engineering — systems that are technically robust, business-aligned, and built to scale. We combine deep technical expertise with strong product thinking, helping companies move from AI ambition to real, production impact.
 

Our work splits into two directions: end-to-end AI B2B SaaS platforms for startups and targeted AI solutions for larger product companies. Multi-agent architectures, complex RAG pipelines, voice systems, document intelligence — the kind of work where you’re often the first to solve a specific problem.
 

We are looking for an AI Software Engineer. You’ll build AI systems — client projects, internal R&D, or both. Some work is exploratory: new problems, unclear approaches, figuring things out. Other work is structured delivery: clear scope, defined milestones, ship and iterate.
 

If you think before you build, ask “why?” before “how?”, and can explain complex technical trade-offs to non-technical founders — join us!

 

What You’ll Do:

• Conversational AI — chat agents, voice systems, customer support automation. Prompt engineering, context management, handling edge cases that break naive implementations.
• Document & Data AI — RAG systems, document processing, content generation. Chunking strategies, retrieval optimization, working with messy real-world data.
• Multi-agent systems — orchestrating multiple AI components, agent architectures, workflows where one model’s output feeds another.
• Full-stack integration — connecting AI to existing platforms, APIs, databases. The AI is only useful if it works within the product.
• Direct client collaboration — understanding requirements, presenting solutions, managing expectations.
  
   

What We’re Looking For:

• Excellent knowledge of Python — most of our solutions are built on it.
• Experience building with LLMs, prompt-engineering skills (GPT, Claude, Gemini) — not just calling APIs, but understanding how to make them actually work.
• Familiarity with agent architectures and multi-agent systems — you’ve built or worked with agentic workflows, understand the patterns.
• Experience with SQL DBs — you have a good understanding of data structuring.
• Product mindset — you think not only technically, but also with the user’s needs in mind. Ready to look for the best solutions, not just “get the job done.”
• Fluency in Ukrainian and English (Upper-Intermediate+) — because communicating with customers is part of the job.
  
   

Nice to nave:

• Basic DevOps/MLOps skills.
• Knowledge of JS/TS.
• Experience in consulting or client-facing technical roles.

What We Offer:

• Structured onboarding & dedicated support — you’ll get a clear onboarding plan, documented workflows, and a team that’s got your back.
• Flexible remote schedule — work from wherever and whenever you’re most productive.
• Learning budget — we cover books, courses, English lessons, and AI tools for your professional growth.
• Full accounting support — so you can focus on the work, not the paperwork.
• Time off — 20 paid vacation days, 12 sick days, 2 paid period leave days/month (for women), and your birthday off.
• IT Cluster membership — access to professional events and networking opportunities in the local tech community.

🔁 Hiring Process: Recruiter Interview → Tech Interview → Test Task → Final Interview.

If you care about who you work with, what you create, and how it affects the outcome, we will definitely be on the same page. We’re excited to meet you 👋

About the company

Are you tired of missing important moments in your weekly game because no one recorded you? Say goodbye to FOMO and hello to PUSHIT!

PUSHIT allows you to easily catch up on all the highlights you did while playing your sports game.

Our advanced replay system allows you to capture moments previously taken, so you never have to miss anything.

See those videos for more information about PUSHIT:

1. https://www.youtube.com/watch?v=uQrXgheKjCg
2. https://www.youtube.com/watch?v=pmdihAft2f8

See our current mobile apps:

1. IOS
2. Android

What is the job

You’ll be the Machine Learning Engineer on a compact, fast-moving team, working directly with the founders. Your mission: design, train, and ship computer-vision models that recognize sports events and generate highlight videos—running both in the cloud and on edge devices.

Responsibilities

• Build & improve CV models – object detection, action recognition, semantic segmentation, tracking, and event classification for multi-camera sports footage.
• Optimize for the edge – convert and quantize models (TFLite/ONNX/RT-Core) so they run in real time on Raspberry Pi 5 and ARM-based phones.
• Own the ML pipeline – data collection, labeling guidelines, experiment tracking (Weights & Biases / MLflow), automated training, and CI/CD to Kubernetes.
• Collaborate cross-functionally – work with backend, video-encoding, and mobile teams to integrate inference results into our NestJS APIs and Flutter/Angular clients.
• Raise the bar – research state-of-the-art techniques, run ablation studies, author technical specs, and mentor future student interns.

Requirements

• Strong Python (3 yrs+) and deep-learning expertise with TensorFlow and/or PyTorch.
• Solid background in computer vision: convolutional nets, attention mechanisms, spatio-temporal models (e.g., I3D, SlowFast).
• Experience deploying models to mobile or edge hardware (TFLite, Core ML, TensorRT, or similar).
• Familiarity with Docker & Kubernetes workflows for scalable training/inference.
• Proven ability to turn research into production code: at least one project or product in the wild (GitHub, app store, or academic publication).
• Comfortable with version control, code reviews, agile tickets, and writing clear documentation.
• Passion for sports—or at least enough curiosity to spot a backhand winner or a slam-dunk replay!

• English—professional level (our dev team is global).

   

Bonus points

• Experience with video encoding pipelines (FFmpeg, HLS, RTMP) or real-time streaming protocols.
• Knowledge of AWS/GCP services for training at scale (SageMaker, Bedrock, Vertex AI).
• Skills in data annotation tooling or active-learning strategies to shrink labeling budgets.
• Background in satellite or aerial image segmentation, sign-language or face-recognition projects (great analogies to sports CV challenges).

• Love for open-source: contributions to CV libraries.

   

Why PUSHIT?

• Ship features that thousands of weekend athletes use every day.
• Work on cutting-edge CV problems with real-time performance constraints.
• Small team ⇒ huge ownership, zero bureaucracy.
• Fully remote
• Competitive salary, early equity, and budget for conferences & GPUs.

Role Summary:
We are looking for a Senior Vibe Developer—a senior AI-driven product engineer who turns business ideas into actionable, AI-powered solutions. You will join the team to evaluate current processes, design AI-enabled workflows, implement features, and optimize our development lifecycle using AI tools, models, and agents. You are passionate about AI, follow the latest trends, and know how to apply AI strategically to solve real business problems efficiently.

Responsibilities:

Evaluate & Modernize Workflows:

Analyze current processes across product design, development, and operations.

Identify opportunities to streamline, automate, and optimize using AI tools.

Define rules, standards, and AI-driven processes to improve productivity and quality.

Translate Business Ideas into AI Solutions:

Collaborate with product and business teams to understand goals and constraints.

Design AI-enabled workflows, prototypes, and solutions to make ideas feasible.

Implement features end-to-end, including rules for design, notifications, or automation.

Hands-On AI Implementation:

Select and fine-tune open-source or commercial LLMs for specific tasks.

Build small AI-powered tools, agents, or components to integrate into workflows.

Balance AI model performance, cost (tokens), latency, and output quality.

AI System Design & Process Ownership:

Define and enforce best practices for AI usage across the company.

Establish rules for memory, context, versioning, and evaluation of AI outputs.

Ensure reliability, observability, and maintainability of AI-powered features.

Innovation & Continuous Learning:

Stay up-to-date with AI releases, techniques, and best practices.

Evaluate new AI models, agents, and tools for applicability and efficiency.

Share knowledge and patterns with the team to increase adoption and velocity.

Requirements:

Experience: 5+ years as a software engineer or AI engineer; proven hands-on experience shipping production-quality software.

Technical Skills:

Python required; familiarity with TypeScript/Node.js, Go, or Java a plus.

Experience with LLMs (open-source or commercial), including training, fine-tuning, evaluation, and deployment.

Knowledge of AI workflows, memory management, prompt engineering, and token management.

Mindset:

Passionate about AI and innovation, keeps up with trends and new releases.

Strong product and business understanding; able to translate ideas into technical solutions.

Hands-on problem solver with architectural thinking.

Strong ownership, ability to drive processes and execute independently.

Nice-to-Have:

Experience building AI-enabled agent workflows or internal tooling.

Exposure to LLMOps best practices (tracing, guardrails, evals, prompt/version management).

Swissmeda is looking for a talented and motivated Junior Data Integration Manager to join our team. This is an excellent opportunity for someone who is passionate about data management and integration processes, specifically in the medical technology industry. If you have strong organizational skills, attention to detail, and are eager to grow your career in a dynamic and innovative environment, we encourage you to apply.

Key Responsibilities:

• Geometries Integration: Integrate geometries into the company’s database/software systems.
• Data Preparation: Prepare and format Excel/CSV files for parsing and further data processing.
• Geometry Data Processing: Utilize special scripts to process geometry data for accurate integration.
• Database Management: Import and manage data in the SQLite database using proprietary tools.
• Database Maintenance: Ensure the implant database is regularly updated and maintained.
• Supplier Communication: Maintain communication with implant companies to verify data integration according to company processes.
• Verification Management: Handle verification documentation, including Jira project maintenance, creation of verification reports, and managing report sending and storage.
• Feature Requests and Bug Tracking: Create feature requests and bug tasks related to geometries integration for the development team.

What We Offer:

• An opportunity to work in an innovative and collaborative environment within the medical technology field.
• Professional growth and development opportunities.
• Supportive and inclusive workplace culture.

Requirements:

• While experience is a plus, we are open to considering candidates without previous experience who demonstrate:
  • Strong attention to detail.
  • A desire to systemize and organize data and processes.
  • Good communication skills, particularly in English.
  • A keen interest in growing into Quality Assurance (QA) roles in the future.
• Proficiency in Excel/CSV file preparation and basic database operations is a plus.
• Familiarity with SQLite database management and Jira or similar project management tools is a bonus.

We are looking for a talented and driven Business Analyst to join our dynamic team. This is an exciting opportunity for a professional ready to take the next step in their career and contribute to impactful projects✨

Responsibilities:
• Requirements management, prioritization, traceability, and validation of the requirements;
• Writing documentation of functional and non-functional requirements (detailed user stories, acceptance criteria, diagrams, schemes, etc.);
• Decompose and elaborate requirements according to business priorities;
• Communication with stakeholders to gather and elicit requirements.

Requirements:
• 3+ years of commercial experience as a Business Analyst;
• Work experience at an IT outsourcing company;
• Practical experience in creating and maintaining documentation and artifacts: User Stories, Use Cases, Functional and Non-functional requirements, UML diagrams, and Flowcharts;
• Understanding of system architecture basics and how APIs, databases, and UIs interact;
• Solid understanding of business analysis knowledge areas, techniques, responsibilities, and activities;
• Strong experience in Web and Mobile app projects;
• Confident written and spoken English (B2 level or above);
• Excellent communication and presentation skills, ability to work effectively in a team;
• Detail-oriented and structured approach to process implementation.

We offer:
• Transparent financial motivation;
• Remote workplace or a comfortable office in the center of Kyiv;
• 18 working days of paid leave annually;
• Unlimited sick days;
• Salary review twice a year;
• Compensation for our English-speaking club — 100%;
• Compensation for any AI tool of your choice — 100%;
• Compensation for coworking spaces — 100%;
• Compensation for gym memberships and professional courses — 50% (after the trial period);
• Compensation for any English courses — 50% (after the trial period);
• Compensation for sessions with a psychologist — 50% (after the trial period);
• Medical insurance (after the trial period).

Interview Stages:
Screening interview ➡️ Interview with BA ➡️ Job Offer

If you have the skills, passion, and determination we’re looking for, apply now to become part of our exciting journey ⭐️

We are seeking a highly skilled Lead AI Engineer to design, integrate, and optimize AI-driven solutions across our platform. This role will focus on integrating existing AI tools and services, enhancing data processing and analysis workflows with AI, and laying the technical foundation for advanced AI capabilities.

You will work closely with backend, frontend, and product teams, and over time, grow into an AI Lead position, shaping the long-term AI strategy and architecture.

Key Responsibilities

AI Integration & Architecture

• Integrate and orchestrate third-party and in-house AI/ML tools (e.g., LLMs, embeddings, vector databases, AI APIs).
• Design scalable AI-powered services that integrate seamlessly with existing systems.
• Evaluate new AI technologies and tools, and recommend adoption based on business impact.

Data Processing & AI Optimization

• Optimize data pipelines for AI-driven processing, analysis, and automation.
• Apply AI techniques to improve data quality, insights generation, and operational efficiency.
• Collaborate with data and product teams to translate business needs into AI solutions.

Backend & Frontend Collaboration

• Build and maintain AI-enabled backend services using Python, AWS, and RESTful APIs.
• Expose AI capabilities via well-structured APIs for frontend consumption.
• Work with frontend engineers to integrate AI features into React applications.

Scalability, Reliability & Security

• Ensure AI solutions are production-ready, scalable, cost-efficient, and secure.
• Monitor performance, latency, and accuracy of AI systems in production.
• Implement best practices for model versioning, observability, and responsible AI use.

Leadership & Growth

• Act as a technical mentor for engineers working with AI-related features.
• Contribute to defining AI standards, best practices, and long-term roadmap.
• Gradually take ownership of AI architecture and strategy, growing into an AI Lead role.

Required Qualifications

• 5+ years of relevant experience in software engineering, machine learning, or AI-focused roles.
• Strong proficiency in Python, with experience building production backend systems.
• Hands-on experience with AI/ML integration, including LLMs, ML APIs, or AI platforms.
• Experience with AWS (e.g., EC2, Lambda, S3, SageMaker, or similar services).
• Solid understanding of RESTful API design and microservice architectures.
• Experience collaborating with frontend teams using React or similar frameworks.
• Strong knowledge of data processing, analysis pipelines, and performance optimization.
• Ability to design systems that balance experimentation with production reliability.

Nice to Have

• Experience with MLOps, model deployment, and monitoring.
• Familiarity with vector databases, retrieval-augmented generation (RAG), or agent-based systems.
• Experience optimizing AI cost, latency, and inference performance.
• Prior experience mentoring engineers or leading technical initiatives.
• Exposure to AI ethics, governance, and compliance considerations.

What We Offer

• Opportunity to build and scale AI capabilities in a real-world production environment.
• Clear growth path toward an AI Lead position with strategic ownership.
• High level of autonomy and technical influence.
• Collaborative environment working across backend, frontend, and product teams.
• Competitive compensation and benefits, commensurate with experience.

We are seeking a Senior Infrastructure Engineer for a long-term international project within a global enterprise environment.

This is a full-time, remote role that combines hands-on technical expertise with architectural oversight and vendor governance.

Key Responsibilities:

• Manage and govern external infrastructure providers (SLA compliance, service quality)
• Design and improve infrastructure architecture solutions
• Take end-to-end ownership of assigned platform services
• Translate business requirements into infrastructure designs
• Contribute to service strategy and architectural reviews
• Ensure alignment with global initiatives and ITIL processes
• Identify, manage, and escalate risks across workstreams
• Maintain strong relationships with third-party vendors
• Prepare status reports, rollout plans, and documentation

Requirements:

• 8–10+ years of experience in infrastructure engineering
• Strong expertise in SBC (Citrix, Microsoft Terminal Services)
• Strong knowledge of Web Infrastructure (Apache, IIS, Tomcat)
• Experience with AWS and Microsoft Azure public cloud environments
•  English: C1 level
• Proven vendor governance and external provider management experience
• Architectural mindset combined with hands-on technical background
• Experience in enterprise-scale, globally distributed environments
• Strong communication and stakeholder management skills
• Availability for full-time remote engagement within the EU

If you are passionate about global infrastructure, cloud technologies, and vendor management, and want to work on a long-term, high-impact project, we encourage you to apply and join our international team!

We are looking for a Business Analyst with a good sense of quality and superior analytical and communication skills. If you are such a person, we invite you to join our team!

What you will do

• Communicate with the customer to gather and understand requirements and customer needs;
• Processing and preparing technical documents;
• Participate actively in discovery and other sessions that are required to complete the Business Analysis phase of the project;
• Proactive stance to help pre-sales complete proposal and win the opportunities;
• Understand business problems, critically evaluating of business ideas from a customer and a commercial point of view;
• Facilitating requirement discussions with key stakeholders to ensure decisions are made and understood by all;
• Stay current with Salesforce releases, features, and best practices through continuous learning and certifications.

We are looking for

• Experience as a Business Analyst focusing on CRM systems projects (Salesforce, Dynamics, Netsuite, SAP, Sage, Hubspot);
• 2+ years of relevant and progressive BA professional experience;
• Ability to gather requirements from stakeholders;
• Experience in documenting requirements;
• Ability to represent a workflow or process with the diagram;
• Wireframing skills;
• Great analytics skills;
• Good communication and presentation skills, ability to work as a team player;
• Skilled in critical thinking and problem-solving;
• Understanding of SDLC and agile development processes;
• English Upper Intermediate level or higher, both verbal and written.
• Polish Upper-Intermediate level or higher, both verbal and written

Will be a plus

• BA certification;
• Understanding what’s possible within the Salesforce platform;
• Contribute to change management efforts to facilitate a smooth transition to Salesforce solutions;
• Salesforce Certificate.

Hey! 👋

We’re looking for a skilled Business Analyst to join our dynamic team on an exciting Gambling project!

We are a young and ambitious outstaffing company that builds strong, dedicated teams for long-term collaboration with international clients. We value talent, responsibility, and a growth mindset.
 

🟢 Full Remote
🕘 Working hours: 9:00–18:00
 

What you'll be doing:

• Manage Product Backlog: Prioritize and organize tasks to align with key business objectives.
• Effective Communication: Act as a bridge between development teams and stakeholders, ensuring clarity in decisions and strategies.
• Handle Change Requests: Collect, prioritize, and add operational changes to the product backlog for future sprints.
• Define Acceptance Criteria: Set clear goals for features, validate them with stakeholders, and ensure they are met during QA.
• Conduct Gap Analysis: Identify areas for improvement by comparing current and target business states.
• Support Change Management: Assist in implementing change plans, provide training, and ensure smooth process transitions.
• Gather Requirements: Ensure all functional and non-functional requirements align with the Product Manager's expectations.
• Verify Requirements: Confirm that requirements meet stakeholder needs and are fit for purpose.
   

What we’re looking for:

• 2–3 years of experience as a BA or Product Manager in web development
• Solid understanding of product development architecture, Scrum, and Agile methodologies
• Knowledge of UX principles and product backlog management
• Bonus: Coding and design skills are a plus!
• English level: B2
   

What we offer:

✅ Fully remote work
🏝 18 vacation days per year
🎁 Birthday gifts
📚 Opportunities for learning and growth through challenging tasks
 

🚀 Ready to join us? Apply now!

Remote – Full-time – Flexible Hours - Shifted schedule to EST (New York) timezone

About TenViz

TenViz Predictive Analytics builds AI-powered solutions that help Fortune 100 investors anticipate market shifts before they become consensus. We combine financial expertise, mathematical rigor, and AI research to deliver predictive analytics for institutional investors.

Your Expertise

• Strong interest in quantitative and algorithmic approaches
• BSc/MSc in Math, Physics or related field with solid background in statistics, linear algebra and probability theory
• Advanced Linear Algebra, Advanced Statistics, Using Linear Algebra methods in Statistical analysis
• 2+ years in data research, quantitative modeling, ML prototyping, and backtesting
• Skilled in Python, SQL, Git
• Experience with  experiment tracking, pipeline orchestration and workflow automation

Nice to have:

• Bayesian inference, reinforcement learning, or ensemble methods
• Financial econometrics, time-series forecasting, or regime modeling

What You’ll Do

• Design predictive models using probabilistic, ML, and hybrid approaches
• Analyze large-scale financial datasets to detect hidden patterns and early regime shifts
• Prototype and evaluate algorithms, from deep learning to Bayesian models
• Write production-grade research code in Python/SQL that integrates into pipelines
• Translate results into insights and themes investors can act on — not just outputs

Example projects:

• Forecasting inflation via commodity price signals
• Constructing probabilistic forecasts of currency moves around macroeconomic announcements
• Designing a Bayesian model to estimate recession probabilities from yield curve dynamics
• Designing a regime-aware ML pipeline that switches models depending on market conditions
• Creating hybrid ensembles that outperform traditional benchmarks

What’s in It for You

• Remote-first, flexible hours
• Paid vacation & holidays (after 8 months)
• Continuous learning: advanced ML/DL workshops, probabilistic methods, optimization
• Supportive, collaborative team — no micromanagement, focus on trust and creativity
• Work on real financial problems where your models influence billion-dollar decisions

Impressit is looking for an AI Engineer to join a cross-functional product team working on an AI-native EdTech platform focused on workplace skills assessment, personalised coaching, and voice-based practice experiences for young adults.

What do we expect?

— 2–3+ years of commercial experience building production AI/ML systems using LLMs or SLMs
— Strong Python skills with hands-on experience in FastAPI and Pydantic
— Data-driven mindset: experience designing experiments, collecting evaluation data, and iterating based on measured outcomes
— Hands-on experience with Google Cloud Platform, especially Vertex AI
— Experience integrating speech-to-text services (e.g. Google Speech-to-Text, Assembly AI)
— Solid experience with audio processing and vocal analysis
— Experience building AI pipelines for batch inference
— Familiarity with prompt management and AI observability tools (e.g. Langfuse)
— Understanding of evaluation approaches for AI/ML systems
— Experience with SQL databases, particularly PostgreSQL
— Comfortable working with Git and Docker
— Strong problem-solving skills and ability to work autonomously
— Good communicator, comfortable collaborating in cross-functional teams
— Upper-Intermediate or higher level of English

What will you do?

— Build and maintain production AI pipelines for assessment, feedback, and coaching
— Design and iterate on prompt and context engineering for scenario generation and performance evaluation
— Evaluate and select LLMs and SLMs for different AI tasks (transcription, analysis, generation, assessment)
— Develop AI agents and role-playing systems for interactive learning experiences
— Build pipelines for audio processing and transcription analysis
— Implement batch inference workflows for scalable assessment scoring
— Design evaluation frameworks using human-labelled data and quantitative metrics
— Collaborate with product and engineering teams on AI-driven features
— Contribute to AI architecture decisions and long-term technical strategy

As a plus:

— Experience with multi-agent orchestration frameworks (e.g. LangGraph, Google ADK)
— Familiarity with Python-based prototyping tools (e.g. Streamlit)
— Previous experience in EdTech, digital coaching, or learning platforms
— Hands-on experience with audio processing libraries (e.g. librosa)
— Passion for evidence-based AI, system reliability, and end-user quality