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Вітаю тебе, фахівець \0/

Мене звати Кирил, я допомагаю зібрати дрім тім для своїх друзів з Hooh – це новонароджений стартап від фаундерів Depositphotos. ІМХО, опортʼюніті дуже кльове.

отже

Hooh – це AI-first startup. 
Ми бачимо, що зараз обʼєм та концентрація інфо, що обробляє людина – збільшується, та дуже скоро всі ми перейдемо на новий рівень узагальнення в комунікації та прийнятті рішень, аутсорснув AIшці колупатись в деталях.
Це як з одягом, котрий ми вже давно не робимо собі самі.
Почуваючи тренд, вирішили зіграти на упередження, та почали розробляти свою систему, яка буде обслуговувати ту саму генералізацію процесів, яка нас всіх чекає.

Але як і все велике починається з малого, ми теж стартуємо з чогось зрозумілого, від якого будемо надалі відштовхуватись.
Почали з AIшки, що допомагає фотографувати, сумарізувати та менеджити документи юзера.
Зараз дуже цікава стадія ресерчу, в якій ми крісталізуємо продукт, маючи на думці баланс між ультра фʼюча та чимось земним, сьогоденним.

Отже, гонимся за інновацією, а не за ROI. 
(а я казав, що вакансія кльова)

Далі дозволю собі перемкнутись на англійську, бо мова піде про конкретні речі.
 

_________________

CEO about the role: “We are looking for an Applied AI Engineer who will help us make messy documents reliably understandable, build accurate structure and entity extraction, strong retrieval, and cost‑efficient model orchestration."

Key Responsibilities

• Document analysis & taxonomy: Systematically analyze layouts/sections/entities/relations; define categories, types, and metadata schemas that generalize across domains.
• Prompting & schemas: Author, version, and maintain prompts/chains for classification, extraction, summarization, and Q&A; enforce JSON/JSON‑Schema outputs.
• Retrieval (RAG): Build hybrid retrieval (embeddings + keyword + graph traversal); manage embedding generation, indexing, dedupe, and drift.
• Cascades & MoE: Architect model cascades (fast filters → experts → fallback LLMs) and MoE routing to balance quality/cost/latency.
• Agentic orchestration: Use CrewAI (or similar) to coordinate multi‑step pipelines; add caching/batching/streaming and robust retries.
• Result fusion: Combine outputs via reranking, voting, and confidence/consistency checks; add guardrails and safety rules.
• Evaluation & monitoring: Run LangSmith/Evals (or similar), define golden sets, automate regressions, track quality/cost/latency; canary and observe.
• Operate models locally/hosted: Work with vLLM/TGI/Ollama/llama.cpp as well as API models; apply quantization/LoRA when useful.
• Data stores: Use vector DBs plus graph and relational DBs to power retrieval and joins (e.g., Qdrant/Weaviate/Milvus/pgvector + Neo4j + PostgreSQL).

Required Skills & Experience

• Strong programming skills in Python or JavaScript/TypeScript; ability to write clear, tested, maintainable code.
• Experience building at least one LLM‑powered feature end‑to‑end (prototype → production), or equivalent open‑source/portfolio work.
• Hands‑on with RAG, vector embeddings, and evaluation (offline + online A/B, error analysis).
• Familiarity with CrewAI and with model cascading/MoE concepts (or ability to learn quickly).
• Practical database skills: comfortable with SQL and with either graph or vector systems.
• Product mindset: bias to measure impact and iterate.

We hire for capability and learning speed. If you’re strong on fundamentals and can show work, we’d love to talk, even if you don’t check every box.
 

Nice to have:

• OCR/Document AI, ontology design, labeling workflows.
• LangSmith/Evals, LangChain/LlamaIndex; Ray/Airflow; GPU basics.
• Security & privacy for AI systems (PII handling, GDPR), prompt/response guardrails.

The Team

• CEO
• Backend 
• Front-end
• Prompt engineer 
• ML/Data Scientist
• 2х Designers 
• 2x iOS Devs 

What We Offer

• Flexible schedule and fully remote work from anywhere with reliable overlap to CET.
• 18 paid vacation days, 8 no-paperwork sick days, and 11 public holidays per year.
• Minimal bureaucracy, no micromanagement, and swift decision-making.
• Direct influence on strategy and the ability to see your experiments ship fast.
• Budget for tools, courses, and conferences to keep your skills sharp.
• A team of product-obsessed people who value experimentation and knowledge-sharing.

Чекніть вимоги і якщо це все про вас – буду радий познайомитись та розповісти більше.

About the Role:

We are launching a new strategic business unit focused on AI Agent Management Services, combining internal infrastructure development with external delivery of cutting-edge generative AI solutions for enterprise clients.
This is a foundational leadership role responsible for defining the vision, building the business from the ground up, and ensuring sustainable growth through innovation, delivery excellence, and commercial performance.

Key Responsibilities:

Business Unit Leadership:

• Design and establish the AI Agent Services business unit, including team structure, operational model, and key processes.
• Develop and own the strategic roadmap for service development, internal capabilities, and external market expansion.
• Build and continuously refine the portfolio of offerings (consulting, outsourcing, managed services, packaged products).
• Develop and manage the pricing strategy, including value-based pricing models, rate cards, and cost analysis.
• Take full P&L responsibility for the unit: budgeting, forecasting, and ensuring profitability.
• Set and achieve financial targets, including revenue quotas, margin goals, and customer acquisition KPIs.

Service Development & Infrastructure:

• Lead the design and development of AI agent architecture, lifecycle processes, and reusable internal components.
• Establish in-house tools, platforms, and reusable modules to support agent development, integration, testing, and monitoring.
• Ensure all offerings align with responsible AI practices, regulatory compliance, and enterprise-grade delivery standards.

Team & Capability Building:

• Recruit and lead a multidisciplinary team (AI engineers, prompt engineers, delivery managers, solution architects, sales support).
• Foster a culture of innovation, agility, and customer-centric delivery.
• Define and implement performance management and continuous improvement processes for the unit.

Go-to-Market & Business Development:

• Personally drive business development efforts during the initial phase — identifying opportunities, engaging clients, creating proposals, and closing deals.
• Work closely with the marketing team to position the service line, define ICPs, and create compelling sales collateral.
• Act as the face of the AI Agent Services offering, building thought leadership through events, webinars, and content.
• Develop channel and partner strategies (e.g., alliances with LLM providers, platform vendors, or system integrators).

Client Delivery Oversight:

• Ensure high-quality, scalable delivery of AI Agent solutions to clients across industries.
• Support solution architecture and custom offering design for strategic clients.
• Define and monitor SLAs, KPIs, and delivery governance models.

Requirements:

Experience:

• 7+ years in technology leadership or digital transformation roles, with at least 2–3 years in AI/ML solution development or automation service lines.
• Experience building or scaling new service lines or business units in IT, consulting, or AI environments.
• Demonstrated success in owning P&L, hitting revenue targets, and managing business operations.
• Hands-on experience with enterprise client delivery — particularly in consulting, managed services, or outsourcing.

Skills & Competencies:

• Strong knowledge of Generative AI technologies (LLMs, agents, orchestration frameworks like LangChain, vector stores, RAG, etc.).
• Business acumen and ability to design commercial models, pricing structures, and scalable service portfolios.
• Outstanding leadership and communication skills, capable of influencing both technical and non-technical stakeholders.
• Entrepreneurial mindset — comfortable with ambiguity, resourcefulness, and building from scratch.
• Fluent English is required; additional languages (e.g., Arabic, Italian, German, French) are a plus.

Education:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• MBA or equivalent business leadership training preferred.

The role

As the Senior ML Engineer at HelloBiome, you will spearhead our efforts to integrate advanced AI capabilities through machine learning models into our microbiome-based health solutions. In this pivotal role, you will lead a cross-functional team to innovate and enhance our AI-driven platforms, ensuring they are scalable, robust, and aligned with our strategic business goals. Your expertise will guide the development and implementation of machine learning models that power predictive analytics, personalized care, and medical image analysis, crucial for advancing consumer health technologies.

Collaborating closely with biologists, data scientists, and software engineers, you will translate complex business needs into functional and non-functional requirements, ensuring our technology roadmap continuously evolves to meet the dynamic demands of the industry. By establishing robust governance frameworks, you will oversee the lifecycle management of AI models, maintaining high standards of data integrity and compliance with global regulations.

This role includes a competitive cash salary and equity package. Compensation is calculated based on the location of the team member, reflecting HelloBiome’s commitment to fair and equitable remuneration.

Requirements

• 10+ years of experience in the development and deployment of machine learning solutions at scale
• Strong communication and presentation skills to effectively collaborate with various stakeholders
• Proven track record and hands-on experience in software development
• Proven ability to lead and manage projects with cross-functional teams
• Extensive experience in building complex, load-ready ETL and ELT processes using various architectures (n-tier, monolith, microservices, etc.), hybrid stacks (Python, Node.js) and tools
• Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud
• Excellent understanding of machine learning algorithms and techniques including supervised learning, clustering, classification, and recommendation systems
• In-depth understanding of statistical methods and principles underlying machine learning algorithms, including hypothesis testing, probability theory, regression analysis, and Bayesian inference
• Experience with ethical AI practices and ensuring compliance with data protection regulations in the USA and EU
• Experience with healthcare data (e.g., electronic health records, medical imaging data, genomics data) is desirable
• Familiarity with data governance principles and best practices, including data quality management, metadata management, and data lineage tracking for model traceability and accountability
• Experience in driving innovation and thought leadership in research, contributing to publications, patents, or industry conferences is desirable

Responsibilities

• As a Senior ML Engineer, you’ll lead HelloBiome in advancing as a data-first organization, integrating AI into the existing systems, building new ones, and preparing the HelloBiome platform for scaling. You will report directly to the CTO.
• Collaborate with stakeholders to understand business goals and translate them into functional and non-functional requirements
• Build and constantly align technology roadmap with business strategies and their KPIs
• Develop and implement machine-learning models and algorithms for microbiome applications, including medical image analysis, predictive analytics, personalized care, and recommendation systems
• Collaborate with biologists and software engineers to gather requirements, design solutions, and integrate machine-learning models into the HelloBiome platform
• Evaluate and validate models using appropriate metrics and techniques to ensure accuracy, reliability, and robustness
• Optimize machine learning algorithms for performance, scalability, and real-time processing
• Lead the establishment and maintenance of robust governance frameworks for product development and deployment, including model lifecycle management, risk assessment, technology vendor management, and compliance monitoring
• Ensure that data acquisition and processing activities comply with ethical standards and industry regulations
   

About HelloBiome

HelloBiome is an innovative B2B biotech startup at the forefront of AI-powered microbiome innovation. We are dedicated to revolutionizing consumer health by leveraging the microbiome. Through democratizing access to microbiome data, HelloBiome utilizes advanced AI technologies to develop targeted health solutions, transforming these insights into commercial applications for our business clients. Trusted by over 20 clients, including industry giants like Unilever, we are not just predicting the future of consumer health; we are actively shaping it. At HelloBiome, every step we take is towards a healthier future, optimizing well-being one microbiome at a time.

Our Culture

At HelloBiome, we thrive in a globally connected, remote work environment with team members distributed across Europe, the US, Canada, and Korea. Our headquarters are in San Francisco and Our dynamic and international team embodies a culture of kindness paired with a drive for innovation and excellence. We value proactive individuals who bring a self-starter mindset to their roles, always seeking new ways to advance our mission. Attention to detail is crucial in our work, as we are committed to delivering precise and impactful health solutions to our B2B clients.

This remote and flexible work structure not only fosters a diverse and inclusive atmosphere but also encourages a balance between personal growth and professional excellence. Join us and be part of a team that is shaping the future of consumer health through groundbreaking AI-powered microbiome innovation.

Our client,  is opening a Lead ML/AI Engineer position.
The company is actively expanding its AI direction and is looking for a specialist who combines deep technical expertise with strong client-facing skills: joining calls, leading discovery phases, and participating in pre-sales processes.

Formal experience specifically in a “lead” role is not strictly required — what matters most is that you feel confident as a technical expert who understands client needs and can propose solutions. Approximately 50% of tasks will be presales/discovery, while the rest will be project work.
 

Responsibilities

• Client communication: participation in calls, requirement gathering, discovery phases.
• Leading pre-sales activities: architectural solutions, estimations, risk analysis.
• Analysis and recommendation of libraries/tools to accelerate development.
• Supporting and conducting code reviews within teams.
• R&D activities and POCs.
• Interviewing candidates for the team.
• Troubleshooting and code optimization in critical situations.
• Influencing architectural decisions and mentoring.

Requirements

• 5+ years in Software Engineering with a focus on AI/ML or distributed systems.
• Experience in building and deploying RAG systems.
• Knowledge of OpenSearch / Elasticsearch, Python.
• Hands-on with LangChain, LlamaIndex, vector DBs (Pinecone, Qdrant, FAISS).
• Understanding of LLM fine-tuning, embeddings, semantic search, prompt engineering.
• Experience with high-load systems.
• Familiarity with AWS / GCP / Azure, Docker, Kubernetes.
• English level: Upper-Intermediate+ (comfortable client communication).
• Leadership experience is a plus but not mandatory. More important are the ability to structure information, present solutions, and collaborate effectively with clients.

What Offers

• Competitive salary and transparent bonus system.
• Exciting and stable AI projects with a modern tech stack.
• Daily English practice with international clients + courses.
• Coverage for training and certifications.
• VIP medical insurance or sports compensation.
• Flexible schedule with minimal bureaucracy.
• 18 vacation days + sick leave.
• Paid coworking (for those outside Kyiv/Lviv).
• Team events, corporate gatherings, soft skills clubs.
• Opportunity to work remotely or from offices in Kyiv and Lviv.

📌 Project: AI platform leveraging RAG, LLM, and search technologies, designed to scale to millions of users.

Your expertise:

• High personal interest in quantitative and algorithmic approaches
• Knowledge in quantitative analysis, statistics, time-series analysis, ML modeling and forecasting for markets
• Experience from 2 years with Data Science activities, including data research and analysis, algorithmic strategy prototyping and backtesting
• Experience with creating and supporting algorithmic strategies, including their risk management
• Experience in systematically monitoring and evaluating the performance of algorithmic strategies with a set of KPIs

• Experience with SQL, Pandas / NumPy / SciPy, and backtesting frameworks

   

Will definitely be a plus:

• Experience with effectively managing delta-neutral and grid strategies
• Experience in the management of a portfolio of algorithmic strategies
• Experience with data science for Agentic AI and Machine Learning
• Experience in the DeFi, DeFAI, or market-making

• Good knowledge of Finance for markets

   

What’s in it for you?

• Opportunity to deal with top-notch technologies and approaches in a world-leader product company with millions of customers
• Opportunity to make a difference for online privacy, freedom of speech, and net neutrality
• Decent market rate compensation depending on experience and skills
• Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency
• Support of personal and professional development
  • coverage of costs of external trainings, conferences, professional literature
  • support of experienced colleagues
  • in-house events and trainings
  • regular knowledge sharing in teams
  • English classes and speaking clubs
• Life-balance support
  • 25 working days of vacation
  • 5 days of paid sick leave per year without providing a medical certificate (no limitation on sick leaves with medical confirmation)
  • generous maternity / paternity leave program

• Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it

   

You will be involved into:

• Lead Data Science activities for algorithmic strategies: data research and analysis, prototyping and backtesting, live strategy performance monitoring, designing data pipelines, designing and implementing risk management strategy
• Participate in the full lifecycle of algorithmic strategy development: ideation, data research, strategy design and prototyping, backtesting, implementation, and live monitoring
• Systematically monitor and analyze strategy performance metrics, research and generate hypotheses for improvement, and iteratively test hypotheses

• Define requirements for implementation by Developers of algorithmic strategies and their data pipelines

   

About the company and project:

ZONE3000 is proud to represent its partnership with Namecheap (www.namecheap.com). Namecheap has been on the market for 20+ years and is the 2nd largest domain registry‬ in the world. We are the Namecheap Machine Learning Team.‬

The team prototypes and develops innovative systems with AI and Machine Learning.‬ Currently, there are more than 10 Production systems in the areas of Email, Payments, Customer Service, and Analytics. Some of them have proven quality at the level of global‬ market leaders.‬

The team provides all the conditions for active professional growth. The culture combines‬ the best from enterprises and startups: a high level of professionalism, truly innovative‬ technologies, friendliness, and stability.‬

We are looking for experienced AI/ML Engineer. Conduct the development of AI and ML components for an intelligent chatbot and search platform, ensuring robust data pipelines, efficient search capabilities, and LLM integration.
 

Requirements:

• 5+ years of experience in AI/ML engineering, including real-world production systems.
• Strong Python skills (Pandas, NumPy, FastAPI, Langchain, etc.).
  Proven experience with LLMs (e.g., OpenAI, AWS Bedrock) and prompt engineering.
• Hands-on experience with vector databases PGVector (Postgres).
• Solid background in NLP, embeddings, and semantic search.
• Experience building ETL pipelines for diverse data sources (APIs, SQL, documents, images).
• Familiarity with unstructured data processing and metadata handling.
• Experience deploying ML models in Docker-based environments.
• Understanding of role-based access and personalized recommendations.
• Strong collaboration skills and ability to lead technical decisions across teams.

• English-Upper-Intermediate.
   

  Responsibilities:

• Review and evaluate existing data sources and structures.
• Design and implement ETL pipelines for structured and unstructured data.
• Generate embeddings, build and maintain vector databases.
• Integrate and optimize similarity search and ranking algorithms.
• Fine-tune and manage LLM prompts for chatbot interactions.
• Develop logic for user intent detection and contextual response generation.
• Collaborate with the engineering team on deployment, API integration, and testing.
• Design feedback loops for continuous model improvement.
• Ensure role-based access, metadata tracking, and performance optimization.
• Deliver production-ready, scalable, and maintainable AI/ML solutions.

Our client is an international company developing next-generation AI products that combine large language models, generative AI, and computer vision technologies.

We are looking for an ML Engineer who will help the team build intelligent systems for real-world applications, from text understanding to video analysis.
 

What You’ll Do

• Design and implement ML pipelines in Python using TensorFlow or PyTorch.
• Train, evaluate, and optimize models for performance and scalability.
• Deploy AI solutions to cloud environments (AWS, GCP, or Azure).
• Work on language models (adaptation, fine-tuning, deployment, agent-based architectures).
• Contribute to image/video intelligence projects: motion tracking, pose estimation, action recognition, depth modeling.
• Build backend services to integrate ML models into production systems.

Desired Background
 

• Degree in Computer Science or a related field.
• Strong programming skills in Python.
• 3+ years in applied ML, with exposure to GenAI and Computer Vision.
• Understanding of model lifecycle: training → evaluation → deployment.
• Cloud deployment experience (AWS / GCP / Azure).
• Hands-on with OpenCV, YOLO, or modern vision transformers.

Job Description

We’re looking for a skilled Python Engineer to join our team in building and scaling LLM-powered applications. You’ll be working with modern agentic AI frameworks, designing APIs, and integrating with cloud services – primarily on Azure.

• 4+ years of experience as a Python AI Engineer.
• Strong experience with FastAPI, SQLAlchemy, and PyTest.
• Experience with agentic AI frameworks (e.g., Haystack, LangGraph, CrewAI).
• Familiarity with LLM-based systems and integration patterns.
• Working experience of Docker, Kubernetes, and Git.
• Hands-on experience with Azure cloud services (especially Azure AI, Azure Functions, etc.).
• Familiarity with PostgreSQL.
• Experience with Retrieval-Augmented Generation (RAG), including vector databases and embeddings.
• Experience with Langfuse or similar LLM evaluation/monitoring tools.
• Experience with CI/CD workflows and observability tools.
• Interest in emerging LLM/agentic tooling and frameworks.
• Solid understanding of natural language processing techniques, with experience in deploying NLP systems and working with prompt libraries.
• Expertise in data analysis and analytics.
• Proven track record of driving innovation and solving complex technical problems using AI and machine learning.
• Good communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
• Experience working collaboratively within cross-functional teams.
• Understanding of data privacy and security standards, ensuring systems are compliant with industry regulations and best practices.
• Passion for continuous learning and staying updated with the latest trends and advancements in AI/ML technologies.
• Nice to have: Experience with multi-agent architectures.
• Nice to have: Experience with MCP protocol.

Job Responsibilities

• Collaborate with PO, BA, stakeholders to understand the specific needs and requirements of the business process.
• Translate business needs into technical specifications.
• Collaborate with frontend engineers, Data Scientists, and DevOps to deliver scalable LLM solutions.
• Develop and maintain backend services using FastAPI.
• Work with agentic AI frameworks like Haystack to build AI pipelines and components.
• Design and implement robust database models using SQLAlchemy with PostgreSQL.
• Write and maintain unit and integration tests using PyTest.
• Deploy services using Docker and Kubernetes.
• Utilize Azure services (e.g., Azure AI) for hosting, inference, and other cloud-native features.
• Use Langfuse or similar tools for LLM performance monitoring and evaluation and implement improvements as necessary.
• Develop and refine the prompt library to facilitate seamless user interaction and request handling.
• Ensure the AI models integrate effectively with existing applications and workflows.
• Conduct thorough testing of AI models to ensure they meet quality, performance, and accuracy standards.
• Provide ongoing support and troubleshooting to address any system issues.
• Monitor and adapt AI systems to accommodate changes in the business process or user requirements.

• Create comprehensive documentation for developed solutions.

   

Department/Project Description

Global player in the railway sector is looking to create an internal platform aimed to support the Bid and Sales teams during critical stages of the bidding process, as well as to assist to Engineers throughout key phases of the Engineering projects lifecycle.

This solution utilizes various techniques, including multi-agent GenAI, to enhance the requirements and compliance process, facilitate data analysis and tender authoring, provide guidance in engineering, offer technical support, and aid in decision-making. It also generates essential artifacts such as requirements, designs, and tests. Additionally, the solution will enable data analytics to identify trends across bids, supporting the Sales and Product Development teams.

Join us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible.

As an ML Engineer, you’ll be provided with all opportunities for development and growth.

Let's work together to build a better future for everyone!

 Requirements:

• Comfortable with standard ML algorithms and underlying math.
• Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems
• AWS Bedrock experience strongly preferred
• Practical experience with solving classification and regression tasks in general, feature engineering.
• Practical experience with ML models in production.
• Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
• Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts).
• Python expertise, Docker.
• English level - strong Intermediate.
• Excellent communication and problem-solving skills.

Will be a plus:

• Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda).
• Practical experience with deep learning models.
• Experience with taxonomies or ontologies.
• Practical experience with machine learning pipelines to orchestrate complicated workflows.
• Practical experience with Spark/Dask, Great Expectations.

Responsibilities:

• Create ML models from scratch or improve existing models. 
• Collaborate with the engineering team, data scientists, and product managers on production models.
• Develop experimentation roadmap. 
• Set up a reproducible experimentation environment and maintain experimentation pipelines.
• Monitor and maintain ML models in production to ensure optimal performance.
• Write clear and comprehensive documentation for ML models, processes, and pipelines.
• Stay updated with the latest developments in ML and AI and propose innovative solutions.

UK Telecommunication Industry Project
Partnership: Global Consulting Enterprise

We are seeking a team of experienced Data & AI Engineers of different skill levels to join a large-scale project for a UK telecommunication client. The role focuses on experimentation — applying business goals to technical requirements and processes of end-user applications.

Whether the challenge is to increase engagement in iPlayer or Sounds, or to improve recommendations in News or Sport apps, experimentation helps us make the right decisions for our users.

Tools & Skills

• Piano Analytics and plug-in Tag Inspector (for tracking in browser)
• SQL IDEs (DataGrip / Workbench / VS Code / AWS Console)
• Optimizely
• GitHub
• Alation or similar (data dictionary)
• Jira and Confluence

Responsibilities

• Collaborate with product and analytics teams to identify and solve problems through experimentation.
• Calculate and communicate baseline conversion rates, sample sizes, MDE, confidence levels, and statistical power.
• Monitor and validate data quality in ongoing experiments.
• Analyse experiment performance, visualise findings clearly, and present results to product teams and stakeholders.
• Conduct deep-dive analyses to understand performance drivers and propose next iterations.
• Work with the platforms team to continuously improve experimentation capabilities.

Must-Have Qualifications

• Strong SQL skills and experience working with very large, complex datasets.
• Proficiency in statistical analysis and tools (Excel, R, Python).
• Knowledge of statistical, quantitative, and qualitative analytical techniques, including frequentist statistics.
• Experience designing experiments (A/B testing, RCTs) and applying experimental design principles.
• Strong communication skills (written and verbal), with ability to explain complex findings to non-technical audiences.
• High attention to detail and accuracy in data analysis and experiment design.
• Strong problem-solving mindset with innovative approach to complex challenges.
• Experience in digital analytics (reading tracking specs, investigating tracking issues).

Desirable

• Hands-on experience running A/B tests.
• Working knowledge of data visualisation tools (e.g. Tableau).
• Python for analytics and automation.

Level-Specific Requirements

Level 3 (Junior–Mid):

• Proficient in SQL and Excel.
• Familiar with Optimizely, Piano Analytics, Tag Inspector.
• Exposure to Python or R for basic statistical analysis.
• Basic understanding of experimental design and statistics.
• Experience: 1–2 years in a data/analytics role. Works under general direction, escalates complex issues.

Level 4 (Mid–Senior):

• Advanced SQL, experienced with large datasets.
• Proficient in Python or R for statistical modelling.
• Strong knowledge of frequentist statistics & experimental design.
• Skilled in Optimizely, Tableau, and data dictionaries (e.g. Alation).
• Experience: 3–5 years in experimentation or analytics roles. Works with minimal supervision and influences product decisions.

Level 5 (Senior–Lead):

• Expert in SQL, Python/R, and statistical methodologies.
• Deep knowledge of experimentation platforms & digital analytics.
• Strong communication and stakeholder management skills.
• Experience with data visualisation & storytelling.
• Experience: 5+ years in analytics or experimentation leadership roles. Operates with broad autonomy and strategic influence.

Working from home and minimum 2 days per month working from office + if team decides to set some days from the office or some important meetings/client visits, when attendance in office is required.

N-iX is a global software development service company that helps businesses across the world develop successful software products. Founded in 2002, N-iX has come a long way, expanding its presence across Europe, the US, and Latin America. Today, we are a strong community of 2,000+ professionals and a reliable partner for global industry leaders and Fortune 500 companies. 

We are looking for an experienced Head of AI Consulting to head the AI Consulting direction within N-iX’s CTO Office. This is a strategic leadership role where you will shape our AI service offerings, drive technical pre-sales, lead high-impact projects, and build a world-class AI consulting team.

What will you do:

• Lead technical pre-sales as the primary consultant, scoping business and technical requirements for Gen AI (LLM, RAG, Agents), ML, CV, and related AI disciplines
• Become (or be ready to become) a world-class AI consultant for both clients and internal delivery teams
• Engage in short- and mid-term AI projects as a consultant/engineer to ensure successful execution and delivery
• Hire, manage, and mentor a team of AI consultants supporting pre-sales, project initiation, and delivery
• Collaborate with sales and marketing teams to refine and create new AI service offerings
• Partner with our alliances team to maintain and expand strategic partnerships (AWS, GCP, Azure, Nvidia, etc.)

• Report directly to VP of Data and AI Consulting, with dotted line supervision from the CTO of the company.

   

Requirements:

• 7+ years as an AI/ML/CV consultant with experience in pre-sales and delivery of both short- and long-term projects.
• 3+ years managing AI consultants or engineering teams.
• Experience in IT Service Business
• Strong leadership skills with excellent communication and client engagement abilities.

• Broad and deep understanding of AI technologies, trends, and methodologies.

   

What you will get:

• Lead one of N-iX’s most strategic practices within the CTO Office
• Collaborate with world-class clients on complex business and technology challenges (e.g., eBay, Bosch, Siemens, Credit Agricole, Office Depot)

• Build and lead a top-tier AI consulting team of passionate experts.

   

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

About the Client and Product:
Our client provides one of the world’s leading online video platforms, designed to power live streaming, online presentations, virtual conferences, events, tutorials, and training sessions. Leveraging advanced browser-based video capture technologies, the platform supports thousands of simultaneous viewers during live events.

Built with state-of-the-art video pipeline technologies—similar to those used by leading organizations like Amazon Video and Netflix—the platform encodes and streams millions of minutes of video content annually, making it a key player in the digital video space.

About the Role:
We are looking for a GenAI Engineer to design, develop, and deploy generative AI solutions. You will work with product teams to integrate AI capabilities, improve automation, and enhance user experiences.

Responsibilities:

• Build, fine-tune, and deploy AI models and pipelines.
• Design scalable AI solutions for text, code, image, or multi-modal generation.
• Evaluate and optimize model performance.
• Collaborate with cross-functional teams on AI integration.

• Mentor junior engineers and share best practices.

   

Requirements:

• 3–7 years of software engineering experience.
• Hands-on experience with AI/ML models, including generative AI.
• Strong software design and problem-solving skills.
• Clear communication and teamwork abilities.

• Upper-Intermediate English or higher. 

   

Preferred:

• Experience with chatbots, content generation, or AI assistants.

• Familiarity with LLMs, embeddings, or retrieval-augmented generation.

   

We Gladly Offer:

• Work in a flexible, Agile, multinational team where innovation and collaboration drive success.
• An opportunity to leverage your skills and experience to build state-of-the-art software products while expanding your expertise in cutting-edge technologies.
• Access to training and continuous learning opportunities to grow your skill set and stay ahead in the evolving tech landscape.
• The chance to work with leading global clients across industries and gain domain expertise in AWS and cloud-based solutions.
• A modern office located in the city center, providing a dynamic and inspiring workspace.
• Flexibility to work both remotely and on-site, allowing you to balance professional and personal commitments effectively.

We are looking for a Senior AI Engineer to lead the development and adoption of AI-driven solutions across the company. This is a hands-on, high-impact role where youll drive innovation, build production-ready systems, and help integrate AI into key business workflows.

     Requirements:

• 6+ years of experience in developing machine learning or AI systems;
• Bachelors degree in Computer Science (or other related degree);
• English level B2+;
• Proven record of deploying production-grade AI/LLM solutions;
• Strong communication and influencing skills;
• Ability to work independently and drive initiatives from scratch;
• Experience with real-time or large-scale AI systems is a big plus.
   

     Responsibilities:

• Design and implement AI solutions leveraging large language models (LLMs) to drive business impact;
• Own the full development cycle from prototype to deployment;
• Build scalable, high-performance AI systems across multiple domains;
• Promote AI adoption through clear value demonstration to stakeholders;
• Collaborate with cross-functional teams to integrate AI into existing workflows;

• Communicate technical results to both technical and non-technical audiences, including C-level.
   

  Technical Skills:

• LLMs: OpenAI, Claude, Gemini, LLaMA.
• Frameworks: LangChain, LangGraph, vLLM, LMDeploy.
• Languages: Python, Java, SQL.
• Solid grasp of MLOps/LLMOps best practices.
• RAG systems and prompt engineering expertise.
• Vector databases: FAISS, Pinecone, Weaviate, Milvus.
• Experience with cloud platforms (AWS, GCP, Azure).
   

     Benefits:

• Great company atmosphere and comfortable communications;
• 20 working days of vacation and 20 sick days;
• Development support;
• Free English classes;
• Financial support for learning;
• Financial support for sports;
• Accounting support.

Location: Remote
Engagement: Contract / Part-time or Full-time
Domain: AI Training, Data Quality, SQL Code Review

About the Role

We are seeking an experienced SQL Code Reviewer to join our AI training QA team. In this role, you will audit annotator evaluations of AI-generated SQL responses and ensure technical correctness, instruction adherence, proof-of-work validation, and consistent application of evaluation rubrics.

This is a critical position that directly contributes to the quality of AI training data, helping improve large language model (LLM) performance for SQL-based tasks.

Responsibilities

• Audit annotator evaluations of AI-generated SQL responses.
• Verify adherence to prompt requirements: query logic, joins, syntax correctness.
• Assess SQL code for correctness, performance, security, and readability.
• Run and validate proof-of-work code submitted by annotators.
• Ensure responses follow instructional guidelines for clarity, style, and tone.
• Identify and document errors, omissions, and rating inconsistencies.
• Provide clear and constructive QA feedback aligned with rubric criteria.
• Collaborate with internal teams to resolve complex or ambiguous cases.

Required Qualifications

• 5–7+ years of professional experience in SQL development, QA, or code review.
• Strong expertise in core SQL concepts and development best practices.
• Experience with debugging, testing tools, and code execution environments.
• Excellent analytical and critical thinking skills.
• Strong written communication for documentation and feedback.
• English proficiency at B2, C1, C2, or Native level.

Preferred Qualifications

• Experience with AI / LLM workflows or human-in-the-loop QA.
• Familiarity with structured code evaluation processes and rubrics.

Responsibilities

Design and develop Agentic AI systems, models, and an advanced

infrastructure stack.

Build product components that integrate with internal systems, user

experience, and advanced security features.

Research new technologies, libraries, and solutions in AI and Cyber domains.

Work in rapid sprints using Agile methodologies.

Collaborate with developers and product teams to improve processes and

design system architecture.

Lead the adoption of advanced technologies and best practices in AI and

Software Engineering.

Requirements and Experience

Bachelor’s/Master’s degree in Computer Science, Engineering, or a related

field.

4+ years of professional experience in software development of medium-to-

large scale systems.

Proven experience with Python, Node.js, NestJS, TypeScript/JavaScript, React, Redis, MongoDB, Kafka, AWS, NX.

Hands-on experience with microservices, Docker, and Kubernetes.

Strong background in software architecture and system design.

Experience with LangGraph and LangChain – mandatory.

Experience developing and integrating with MCP (Model Context Protocol) in

AI – strong advantage.

Familiarity with cybersecurity – strong advantage.

Knowledge in MLOps, fine-tuning, and vector databases – advantage.

Excellent problem-solving skills and ability to thrive under tight deadlines.

Proactive mindset, team player, and ability to provide technical leadership.

Must speak intermediate plus English.

Must be a team player, hard worker, trust worthy, reliable, responsible,

motivated and a long term player.