Jobs Lviv

We are seeking an AI Engineer to join one of our customers’ teams. This position will play a key role in applying state-of-the-art machine learning and AI techniques to enhance automated accessibility testing, drive intelligent analysis of scan results, and develop algorithms that add value to their product suite. The AI Engineer will work to build scalable ML systems that integrate into the client's core products, ensuring they are robust, ethical, and aligned with the client’s mission of digital equality.

The ideal candidate would have experience deploying ML models in production environments, preferably in the domains of computer vision, and NLP. An understanding of supervised and unsupervised learning, model evaluation, data science, and responsible AI principles is essential. Prior work in accessibility or web technologies is a plus.
 

Requirements:
 

• 3+ years of experience in machine learning or AI engineering, with a strong focus on deploying models in production environments.
• Proficiency with Python and common ML libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face Transformers.
• Experience building and maintaining scalable ML infrastructure
• Strong back-end engineering skills, including designing APIs, integrating with cloud services, and building infrastructure to support ML workflows.
• Hands-on experience with data engineering tools and workflows (e.g., AWS Glue, Athena, Spark, or similar).
• Strong understanding of model lifecycle management, including training, evaluation, deployment, and monitoring in real-world systems.
• Familiarity with web technologies (HTML, CSS, JavaScript) and an interest in digital accessibility.
• Excellent communication skills, with the ability to explain complex ML concepts to both technical and non-technical audiences.

• At least Upper Intermediate English level.

   

Nice to Have

• Computer Vision, NLP.
• Docker & AWS.
• Accessibility knowledge.
   

Responsibilities:
 

• Process and collect data for AI systems, create and maintain data pipelines for developing and deploying AI algorithms at scale.
• Research the state of the art in AI/ML and creatively apply it to our mission of digital equality.
• Design and develop algorithms using AI/ML to enhance our product suite and increase automation.
• Contribute to technical documentation and share findings with stakeholders through demos, presentations, and reports.
• Evaluate algorithm performance using rigorous statistical and domain-relevant metrics, iterating for continual improvement.
• Participate in code reviews, team planning, and cross-functional collaborations to ensure high engineering standards.
   

We offer:
 

• Annual paid vacation of 18 working days.
• Extra vacation days for long-lasting cooperation.
• Annual paid sick leave of 10 days.
• Maternity/Paternity leave.
• The opportunity for sabbatical leave.
• Marriage and Parenthood Package.
• Compensation for sports activities (up to 250$ per year) or health insurance covering (70%) — after the trial period.
• Internal education (corporate library, Udemy courses).
• Career development plan.
• English and Spanish classes.
• Paying taxes and managing PE (Private Entrepreneur).
• Technical equipment.
• Internal Referral program.
• Opportunity to take part in company volunteering activities.
• Sombra is a “Friendly to Veterans” award-holder.
  
   

If you believe you are a suitable candidate for this position, please attach your updated resume using the provided link.
Our recruitment team will review your profile, and if it aligns with our current job openings, we will contact you shortly. If you don’t receive a reply from us within 5 business days, it means we have decided to move forward with other candidates.
Thank you for understanding.

Automat-it is where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner and Strategic Partner, we deliver hands-on DevOps and FinOps and GenAI support that drives real results.

We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We seek an experienced Senior AI Engineer to join our team. You will work hands-on with innovative startups' Data Science and R&D teams and be in charge of various projects. You will develop robust MLOps pipelines, create cutting-edge Generative AI solutions, implement the latest technologies, and ensure the customers’ success by overseeing the project from inception to completion.

📍 Work location - remote from Ukraine

If you are interested in this opportunity, please submit your CV in English.

Responsibilities:

• Design, build, and deploy GenAI systems using LLMs for real-world applications, including agentic workflows, RAG pipelines, and orchestration logic.
• Implement multi-step reasoning systems using frameworks like LangChain, LangGraph, Strands Agents, CrewAI, and Bedrock Agents.
• Optimize retrieval pipelines with efficient embedding strategies and vector stores such as OpenSearch, PostgreSQL pgvector, Pinecone, and others.
• Rapidly experiment with and integrate new research and GenAI tooling into scalable prototypes and customer-ready solutions.
• Collaborate with cross-functional teams to ship AI-powered features and assist in aligning AI efforts with business goals.

Requirements:

• 3+ years of experience in AI/ML engineering with a track record of building and shipping production-grade AI systems.
• 5+ years of hands-on experience with Python and deep learning frameworks such as PyTorch and HuggingFace Transformers.
• Experience with orchestration frameworks such as LangChain, LangGraph, Strands Agents, CrewAI, and Bedrock Agents.
• Solid understanding of embedding strategies, retrieval optimization, and semantic search using vector stores.
• Experience with AWS services, including Bedrock, SageMaker, Lambda, and other serverless and container-based deployment approaches.
• Familiarity with MLOps practices, including CI/CD for models, monitoring, and reproducibility in cloud-native environments.
• Strong communication skills and the ability to collaborate across product and engineering teams.
• Fluent written and verbal communication skills in English

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes
• Soft skills training

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognising the value you bring to our team.

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.

The UKEESS Software House team is currently looking for a Senior AI LLM Data Scientist / Engineer to join our team for a full-time position (remotely in Ukraine or in Lviv’s office).

About the Customer and the Project:

Our customer is the world’s largest DNA network, based in the USA. This presents a unique opportunity to work with more than 60 billion digitized global historical records, 100 million family trees, and 18+ million people in their growing database. Our customers help people discover their family stories and gain actionable insights about their health and wellness. 

About the team:

You will join the AI Content team, a dynamic group at the forefront of Document Understanding. You’ll play a vital role in developing innovative AI models that extract and organize text and image information from billions of historical and genealogical records, enabling customers to discover, share, and connect with their family history. 

As a member of the AI Content team, you will work with AI technologies and LLMs to deploy, test, and evaluate model capabilities, quality, throughput, and cost for document understanding tasks such as layout analysis, transcription, entity recognition, relation extraction, summarization, etc. You will work with a dedicated mentor on the AI Content data science team, along with engineering teams, to train, optimize, and deploy models that promote product development, customer success, and content creation across our project.

What you will do:

• Integrate LLMs: Integrate both open source and provider-based LLMs into our internal AI Gateway. 
• LLM Optimization: Optimizing open source LLMs for faster inference using frameworks like VLLM, SGLang
• Tools/Scripts/Dashboards: build a tool/script/dashboard to track and compare speed or time required, as well as token count and cost estimates for processing images with the various LLMs.  
• Optional Opportunities: Optional opportunities exist to explore LLM word token bounding box detection, LLM as a Judge, and other LLM evaluation work. 
• Collaborate on Cloud Deployment: Partner closely with ML Ops and Data Science Engineers to seamlessly deploy datasets, truth sets, models, and pipelines for training and inference in cloud environments.
• Communicate Insights Effectively: Clearly and confidently present your findings, deliverables, and proposed solutions to technical and non-technical audiences, including teams, stakeholders, and executives.

Requirements:

• 5+ years of experience in Data Science with AI/ML 
• Proven experience in Python programming as well as tools and environments for model deployment.
• Knowledge and experience with multiple AI LLMs, including both proprietary and open-source models, and their respective strengths and limitations.  
• Knowledge and experience with such frameworks as VLLM, SGLang
• Ability to stay up-to-date with new models, benchmarks, and best practices.
• Practical experience with cloud platform AWS (e.g. Amazon SageMaker, EC2, S3, AWS Lambda).
• English: Upper-intermediate at least (both spoken and written)

It will be a plus:  

• Familiarity with cloud platforms and related AI/ML services such as Google GCP Gemini API, Vertex AI, Azure, etc.  
• Commercial experience with Terraform or CloudFormation
• Experience with agentic architecture
• Familiarity with AI coding tools 

What You’ll Gain

• Mentorship & Growth: Learn from experienced Data Scientists while tackling meaningful, real-world AI projects, expanding your knowledge and professional network within a collaborative culture. 
• Collaboration & Impact: Work alongside top industry professionals and help shape the tools that bring family history to life for millions of users.
• Innovation & Purpose: Join a team at the forefront of applying AI to historical data - where every model you build helps preserve human stories.

What do we offer our new colleague?

• Competitive compensation (based on market data, but also depending on the technical level of the candidate)
• Flexible work schedule
• 3 health packages to choose
• Annual paid vacation and state holiday celebration
• Free English classes (online)
• Individual approach to professional growth
• Lack of bureaucracy and micromanagement
• Modern, comfortable office facilities (a barbecue zone, kitchens, lounge rooms, coffee machines, etc.)
• Foreign business trips (after the war)
• On-site parking lot and charge station for Electric Cars
• Corporate gifts, celebrations, and fun activities

• Sports activities: ping-pong, soccer, work-out

   

Suppose you have a passion for solving challenging problems, building scalable, robust systems, love working with the latest technologies in a fast-paced, flexible environment, and are excited about the prospect of having a significant impact on products with more than 3 million paying subscribers. In that case, we want to talk to you! ;-)

The UKEESS Software House team is currently looking for a Senior AI Data Scientist / Engineer to join our team for a full-time position (remotely in Ukraine or in Lviv’s office).

About the Customer and the Project:

Our customer is the world’s largest DNA network, based in the USA. This presents a unique opportunity to work with more than 60 billion digitized global historical records, 100 million family trees, and 18+ million people in their growing database. Our customers help people discover their family stories and gain actionable insights about their health and wellness. 

About the team:

You will join the AI Content team, a dynamic group at the forefront of Document Understanding. You’ll play a vital role in developing innovative AI models that extract and organize text and image information from billions of historical and genealogical records, enabling customers to discover, share, and connect with their family history. 

As a member of the team, you will work with KB (Knowledge Base) and RAG (Retrieval Augmented Generation) implementations, integrating architectures leveraging SQL-structured databases along with vector databases supporting semantic search and retrieval applications. You will work with a dedicated mentor from the data science team, as well as engineering teams, to train, optimize, and deploy models that promote product development, customer success, and content creation across our project.

What you will do:

• Configure structured and vector databases: Align and sync database schemas across structured and vector databases 
• Curate and organize content collection metadata: Prepare and format provided content collection metadata to be compatible with defined database schemas 
• Ingest content collection metadata:  Ingest collection metadata from provided sources into a structured SQL database.
• Embeddings generation: Help develop a tool/script to generate embeddings from the structured data to populate the vector database.
• Iterative improvement: Iterate on adjusting the database schema, indexes, embeddings, etc., to support various queries and use cases for analyzing the ingested content collection metadata
• Collaborate on Cloud Deployment: Partner closely with ML Ops and Data Science Engineers to seamlessly deploy datasets, truth sets, models, and pipelines for training and inference in cloud environments.
• Communicate Insights Effectively: Clearly and confidently present your findings, deliverables, and proposed solutions to technical and non-technical audiences, including teams, stakeholders, and executives.

Requirements:

• 5+ years of experience in Data Science
• Strong hands-on commercial experience with LLMs in production, RAG architecture, and agentic systems
• Expertise with data collection, organization, curation, and formatting to populate SQL databases. 
• Experience with SQL databases, including adjusting schemas and indices to optimize for efficient queries. 
• Familiar with embedding generation and use of vector databases for semantic search and retrieval. 
• Strong proficiency and experience with Python and relevant tools and libraries
• Practical experience with cloud platform AWS (e.g. Amazon SageMaker, EC2, S3, AWS Lambda).
• English: Upper-intermediate at least (both spoken and written)

It will be a plus:

• Knowledge and experience with cloud platforms and related AI/ML services such as Google GCP Gemini API, Vertex AI, Azure, etc.  
• Strong knowledge and experience with LightLLM
• Commercial experience with Terraform or CloudFormation
• Experience with agentic web scraping tools

What You’ll Gain

• Mentorship & Growth: Learn from experienced Data Scientists while tackling meaningful, real-world AI projects, expanding your knowledge and professional network within a collaborative culture. 
• Collaboration & Impact: Work alongside top industry professionals and help shape the tools that bring family history to life for millions of users.
• Innovation & Purpose: Join a team at the forefront of applying AI to historical data - where every model you build helps preserve human stories.

What do we offer our new colleague?

• Competitive compensation (based on market data but also depending on the technical level of the candidate)
• Flexible work schedule
• 3 health packages to choose
• Annual paid vacation and state holiday celebration
• Free English classes (online)
• Individual approach to professional growth
• Lack of bureaucracy and micromanagement
• Modern, comfortable office facilities (a barbecue zone, kitchens, lounge rooms, coffee machines, etc.)
• Foreign business trips (after the war)
• On-site parking lot and charge station for Electric Cars
• Corporate gifts, celebrations, and fun activities

• Sports activities: ping-pong, soccer, work-out

   

Suppose you have a passion for solving challenging problems, building scalable, robust systems, love working with the latest technologies in a fast-paced, flexible environment, and are excited about the prospect of having a significant impact on products with more than 3 million paying subscribers.

In that case, we want to talk to you! ;-)

Hello! We’re looking for a motivated and tech-savvy Junior AI Specialist to support our work on intelligent AI-driven systems. From smart chats and LLM prompt design to autonomous AI agents and process automation — you’ll get hands-on experience building tools that solve real-world business challenges.

 

Key responsibilities:

• Building and testing AI agents for lead research, client outreach, and pipeline management;
• Designing and refining prompts for Large Language Models (LLMs) to improve conversation quality and task performance;
• Automating business processes using n8n — integrating databases, scraping tools, and outreach platforms;
• Developing lightweight chatbots and conversational flows for use in marketing or support;
• Supporting data collection and processing to enable targeted outbound campaigns;
• Collaborating with team members to improve AI-driven workflows and propose better strategies.
   

Requirements:

• Solid interest in AI, LLMs, and workflow automation;
• Basic experience with tools like OpenAI, or agent frameworks;
• Basic understanding of JavaScript/TypeScript and willingness to improve skills through practical application. 
• Practical understanding of n8n — or strong motivation to learn it quickly (experience building flows, connecting APIs, etc.);
• Strong problem-solving skills and the ability to independently conduct online research and experimentation;
• Upper-intermediate level of English (written and verbal);
• A self-starter with a learning mindset — not afraid to test, iterate, and improve.
   

What you will have with us:

• Regular Performance review;
• Paid out-of-office days;
• Opportunity to learn and improve your English.
• Flexible work schedule;
• Well-equipped office;
• Career Path and growth opportunities.

About company

We are a software development company that provides digital technology services from mobile and web development to custom software solutions. We're dedicated to delivering innovative, high-quality solutions tailored to your unique needs.

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

We are looking for an AI Developer to join our team. If you are driven by AI, want to influence the product, and grow in a strong team — join us.

 

What You’ll Do:

• Integrate LLM into products — connect, configure, and optimize commercial LLM (OpenAI, Anthropic, Mistral, etc).
• Develop AI-oriented solutions — create chatbots, voice agents, and other AI products.
• Optimizing model performance — prompt engineering, reducing hallucinations, improving response productivity.
• Collaborating with the development team — integrating AI components into backend systems.
• Participation in technical calls with clients — presenting the current status of the project, gathering requirements, and clarifying expectations.
• Research and implementation of new AI solutions — analyzing new models, APIs, and frameworks to improve the company’s AI expertise.
  
   

What We’re Looking For:

• 2+ years of experience in AI/ML.
• Excellent knowledge of Python — most of our solutions are built on it.
• Experience with LLM (GPT, Claude, Gemini), prompt-engineering skills — you know how to integrate models into products and optimize prompts for specific tasks.
• Experience with SQL DBs — you have a good understanding of data structuring and can work with large volumes.
• 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:

• Experience with fine-tuning models.
• Basic DevOps/MLOps skills.
• Knowledge of JS/TS.

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 👋

Position overview

We are seeking a highly skilled AI & ML Engineer to join our innovative team. In this role, you will lead the development, optimization, and deployment of advanced machine learning and artificial intelligence models. You will drive state-of-the-art research, build scalable pipelines, and collaborate with cross-functional teams to translate business needs into effective ML solutions.

This position offers the opportunity to work on cutting-edge technologies in a dynamic, fast-paced environment, contributing to impactful projects that power next-generation AI applications.

Responsibilities

• Design, implement, and optimize machine learning and AI models, including classification, regression, clustering, and agent tuning.
• Experiment with the latest methods, frameworks, and architectures to enhance model performance and efficiency.
• Develop robust, scalable ML pipelines for training, validation, and inference.
• Deploy ML models into production environments (cloud or on-prem), ensuring high reliability, low latency, and scalability.
• Apply MLOps best practices including CI/CD, monitoring, automated retraining, and model registry management.
• Partner with data engineering teams to source, clean, and transform large datasets for model training and inference.
• Ensure high data quality, perform feature engineering, and support real-time data integration processes.
• Work closely with data scientists, software engineers, and product managers to align ML solutions with business goals.
• Clearly communicate complex technical results to both technical and non-technical stakeholders.
• Provide technical guidance and mentorship to junior ML engineers and data scientists.
• Contribute to establishing team best practices, code reviews, and architectural decisions.

Requirements

• 5+ years of professional experience in machine learning, AI engineering, or related fields.
• Master’s degree in Computer Science, Machine Learning, Physics, or related field; PhD preferred.
• Proficient in Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Strong understanding of algorithms, statistics, probability, and linear algebra.
• Hands-on experience with data pipelines and ETL tools (e.g., Spark, AWS Lambda, AWS Glue).
• Practical experience with cloud platforms, preferably AWS.
• Solid software engineering fundamentals including version control (Git), testing, and design patterns.
• Demonstrated success in deploying ML models into production at scale.
• Familiarity with MLOps tools such as MLflow, Kubeflow, SageMaker, or Vertex AI.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work autonomously and collaboratively within a fast-paced, cross-functional team environment.

Nice to have

• Experience with agentic frameworks like LangChain or LangGraph

Client

Our client is a leading Fortune 500 financial technology company that provides comprehensive payment solutions and financial services across multiple continents. They process billions of transactions annually and serve millions of customers worldwide.

You'll collaborate with a world-class team of senior data scientists, ML engineers, and technology consultants from leading organizations in the fintech and cloud computing space. This diverse group brings together deep technical expertise, industry knowledge, and proven experience delivering mission-critical solutions at enterprise scale.

Position overview

We are seeking an experienced Senior MLOps Engineers with deep expertise in Generative AI implementations. This role is designed for seasoned ML engineering professionals who have successfully transitioned their expertise into production GenAI environments - not for those simply exploring AI technologies.

Technology stack

AWS Bedrock, SageMaker, and comprehensive AI/ML service ecosystem
Vector databases and advanced RAG architectures
Enterprise-scale data processing and real-time model deployment systems
Automated CI/CD pipelines specifically designed for ML workflows

Responsibilities

• Design and implement robust MLOps pipelines for GenAI solutions using AWS Bedrock platform
• Lead the selection, training, and fine-tuning of Foundation Models (FM) and Large Language Models (LLM) for specific business use cases
• Architect and deploy RAG (Retrieval-Augmented Generation) systems with vector databases
• Develop and optimize prompt engineering strategies for production environments
• Integrate AI-powered chatbots and conversational interfaces into existing business workflows
• Implement comprehensive automation frameworks across the AI/ML lifecycle
• Manage diverse data sources and ensure optimal data preparation for AI platform consumption
• Scale proof-of-concepts to production-ready, enterprise-grade solutions

Requirements

• Hands-on, production-level experience with implementation and management
• Proven experience selecting, training, and fine-tuning Foundation Models (FM) or Large Language Models (LLM) for specific business use cases
• Deep hands-on knowledge of Retrieval-Augmented Generation implementation and vector database management
• Advanced skills in designing and optimizing prompt engineering strategies for production AI applications
• Demonstrated experience integrating and deploying chatbots within business workflows and implementing AI automation frameworks
• Expert understanding of diverse data types (structured, semi-structured, unstructured) and their utilization within AI platforms
• Proven track record of transitioning POCs to production-ready, enterprise-scale solutions
• Strong AWS cloud services background and advanced Python skills with ML frameworks (TensorFlow, PyTorch, etc.)
• ML engineering/MLOps experience with 2+ years dedicated GenAI production experience
• To collaborate with onsite team during US Eastern Time (ET) business hours

Nice to have

• Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field (Master's preferred)
• AWS certifications (Machine Learning Specialty, Solutions Architect, etc.)
• Experience with financial services or payment processing systems

Position overview

DataArt is a global software engineering firm and a trusted technology partner for market leaders and visionaries. Our world-class team designs and engineers data-driven, cloud-native solutions to deliver immediate and enduring business value.

We promote a culture of radical respect, prioritizing your personal well-being as much as your expertise. We stand firmly against prejudice and inequality, valuing each of our employees equally.

We respect the autonomy of others before all else, offering remote, onsite, and hybrid work options. Our Learning and development centers, R&D labs, and mentorship programs encourage professional growth.

Our long-term approach to collaboration with clients and colleagues alike focuses on building partnerships that extend beyond one-off projects. We provide the ability to switch between projects and technology stacks, creating opportunities for exploration through our learning and networking systems to advance your career.

We are looking for a Senior Machine Learning Engineer to design, develop, and deploy advanced ML models focused on betting position forecasting, real-time analytics, and anomaly detection. The ideal candidate will have strong expertise in time series forecasting, predictive modeling, and scalable production deployment. You will work closely with cross-functional teams to integrate machine learning solutions that drive data-driven decision-making in a fast-paced betting environment, ensuring high model accuracy and reliability.

Responsibilities

• Design and develop machine learning models for betting position forecasting and recommendation systems
• Build and deploy predictive analytics solutions delivering real-time betting insights
• Implement anomaly detection systems to identify unusual betting patterns and potential risks
• Develop pattern recognition algorithms for market trend analysis and user behavior prediction
• Ensure scalable, reliable deployment of ML models within production betting environments
• Monitor, evaluate, and optimize model performance and accuracy continuously
• Collaborate closely with development teams to integrate ML solutions into betting platforms

Requirements

• Strong proficiency in Python and core ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
• Proven experience in time series forecasting, predictive modeling, and anomaly detection
• Solid grasp of statistical analysis and probability theory relevant to betting/gaming contexts
• Hands-on experience deploying ML models in real-time production environments
• Expertise in data preprocessing, feature engineering, and model validation techniques
• Familiarity with ML Ops best practices including model monitoring and versioning

Nice to have

• Experience with Azure ML or similar cloud ML platforms
• Knowledge of databases, data pipelines, and data engineering fundamentals
• Understanding of A/B testing and experimentation frameworks
• Experience with containerization tools like Docker and CI/CD pipelines

Position overview

We are seeking an AI Engineer with a strong software engineering background, proficient in Python and modern cloud-native technologies. The ideal candidate has hands-on experience with Snowflake, BigQuery, or AWS data platforms and solid expertise in data engineering, including ETL, Spark, Spark Streaming, Jupyter Notebooks, data quality, and medallion architecture and design.

Experience with machine learning best practices such as model training, evaluation, and weighting is essential.

Responsibilities

• Design, develop, and deploy scalable AI and machine learning models.
• Build and maintain data pipelines and ETL processes using Spark, Spark Streaming, and related tools.
• Ensure high data quality and implement medallion architecture design principles.
• Collaborate with data scientists, engineers, and product teams to translate requirements into technical solutions.
• Implement best practices for model training, evaluation, and performance tuning.
• Develop, integrate, and maintain AI agents and conversational AI solutions where applicable.

Requirements

• Strong software engineering skills (Python, cloud-native stacks)
• Hands-on experience with Snowflake, BigQuery, or AWS data platforms
• Solid data engineering experience (ETL, Spark, Spark Streaming, Jupyter Notebooks, data quality, medallion architecture)
• Knowledge of machine learning best practices (model training, evaluation, weighting)

Nice to have

• Experience building AI agents (Langchain, Langgraph, OpenAI Agents, PydanticAI)
• Experience building conversational AI agents (AI chats, Evaluation-Driven Development)

Job Description:

6+ years of experience as an AI/ML Engineer or similar role in data-intensive environments.
Strong hands-on expertise with:

• Background in AI/ML pipelines and model lifecycle management. 
• Familiarity with data curation and feature engineering. 
• Experience with integrating into existing CI/CD pipelines. 
• experience in training, fine-tuning, evaluating, and deploying ML models in production environments
• Upper-intermediate English proficiency (both spoken and written
• Knowledge of Jira or other issue tracking systems 
• Python proficiency for ML integration and automation.

Nice to Have:

• Experience integrating ML systems with APIs or back-end services

Job Responsibilities

• Assist in integrating AI into DevInfra workflows, with planned expansion to QA-related tasks. 
• Support data curation for model training and evaluation. 
• Contribute to the development of recommendation systems and model tuning. 
• Integrate AI-based plugins into CI pipelines. 
• Implement Jira issue categorization using AI models. 

Department/Project Description

We are seeking a highly skilled AI/ML engineer to help us with the digital transformation of testing processes.

We aim to enhance QA processes by powering continuous integration and development with more automated checks and AI integration into development infrastructure. You will support data curation for model training and evaluation, and contribute to recommendation systems and model tuning.

By integrating AI-based plugins into CI pipelines, we aim to shorten the time for root-cause analysis of issues that occur during planned runs. Implementation of Jira issue categorization using AI models will help us with triaging.

Про нас
RaccoonDoc – це інноваційне рішення для автоматизації обробки та розпізнавання документів, що використовує передові технології штучного інтелекту. Ми допомагаємо підприємствам автоматизувати розпізнавання та витягування даних з документів будь-якої складності, що дозволяє значно підвищити ефективність бізнес-процесів. Наша місія - звільнити бізнес від рутинної ручної роботи з документами, перетворюючи їх на структуровані дані за допомогою передових технологій штучного інтелекту.

Ми шукаємо талановитого та мотивованого Machine Learning Engineer, який приєднається до нашої команди для розробки та вдосконалення наших AI-рішень.

Що ми робимо:

Наша команда розробляє та підтримує моделі для розпізнавання, класифікації та вилучення даних з різноманітних типів документів. Ми працюємо над складними завданнями в області Computer Vision (Object Detection) та Natural Language Processing (NER, Text Classification), використовуючи сучасні архітектури, включаючи трансформери та великі мовні моделі (LLM).

Що вам належить робити:

• Розробка, тренування та вдосконалення моделей машинного навчання для розпізнавання та аналізу документів (Object Detection, NER).
• Робота з великими мовними моделями (LLM) та трансформерними архітектурами для вирішення завдань обробки природної мови.
• Інтеграція ML-моделей в існуючу інфраструктуру та їх розгортання в хмарних середовищах (Azure, AWS).
• Участь у повному циклі життя ML-рішень: від збору даних та прототипування до розгортання та моніторингу.
• Оптимізація існуючих моделей для покращення їх точності та продуктивності.
• Співпраця з командою розробників для створення надійних та масштабованих AI-рішень.
   

Наш технологічний стек:

• ML: PyTorch, TensorFlow, Scikit-learn, YOLO, spaCy, Transformers, LLM.
• Web: Flask, FastAPI, Docker.
• Cloud (Azure/AWS): Azure Web Apps, Azure ML, Azure DevOps, Azure Functions, Azure Service Bus, Application Insights, DB/Blob Storage, AWS SageMaker, AWS Lambda, AWS ECR.
• General: Розуміння класичних алгоритмів ML (Random Forest, SVM, KNN), досвід роботи з API.

Необхідні навички та досвід:

• Комерційний досвід роботи на позиції ML Engineer від 1-го року.
• Глибокі знання та практичний досвід роботи з Python та ключовими бібліотеками для машинного навчання (PyTorch, TensorFlow, Scikit-learn).
• Досвід роботи з однією або декількома з наступних задач: Object Detection (наприклад, YOLO), NER, Text Classification.
• Практичний досвід роботи з трансформерами та великими мовними моделями (LLM).
• Розуміння принципів MLOps та досвід розгортання моделей в одному з хмарних середовищ (Azure або AWS).
• Досвід роботи з Docker для контейнеризації додатків.
• Розуміння принципів побудови та роботи з API (Flask, FastAPI).

Буде плюсом:

• Досвід роботи з Azure (Azure ML, Azure DevOps, Azure Functions).
• Досвід роботи з AWS (SageMaker, Lambda).
• Досвід роботи з інструментами для обробки та аналізу великих даних.
• Вміння працювати в команді та самостійно приймати рішення.

Що ми пропонуємо

• Динамічне середовище стартапу з великим потенціалом для зростання.
• Конкурентоспроможна зарплата.
• Гнучкий графік роботи та можливість працювати віддалено.
• Можливості для професійного розвитку та навчання.
• Співпраця в інноваційній та підтримуючій команді.
  
  Процес найму

1. Короткий кол для знайомства (30 хв).
2. Технічний етап: live-tasks/обговорення ваших продакшн-кейсів (60–90 хв).
3. Співбесіда з фаундером (30–45 хв).
4. Оффер.

Galaktica — українська продуктова ІТ-компанія, яка вже понад 5 років успішно створює та просуває власні онлайн-проєкти на світовому ринку. Ми прагнемо до зростання й розвитку наших співробітників, а також інвестуємо в масштабування та запуск нових внутрішніх стартапів. Наша амбітна мета — стати повноцінним ІТ-холдингом і розробляти інноваційні продукти в перспективних нішах із використанням штучного інтелекту.

Нині ми шукаємо сильного та проактивного AI Engineer, який допомагатиме в реалізації задач для існуючого продукту з ШІ-складовою, підтримає запуск ще одного нового продукту та відповідатиме за AI-напрям у нашому R&D-підрозділі.

На даній посаді вам необхідно буде вирішити наступні задачі:

• Розробити AI-помічника на базі існуючих відкритих рішень;
• Персоналізувати AI-помічника під користувача (стать, голос, зовнішній вигляд, ім’я);
• Реалізувати взаємодії AI-помічника з функціями додатку: календар, трекер здоров’я та ін.;
• Використати дані користувачів для надання індивідуальних рекомендацій;
• Спроєктувати та реалізувати архітектуру рішення: від моделі до логіки агентів, від навчання до продакшн-інференсу.

Які навички та критерії нам зараз важливі:

• Must Have — Продакшин досвід із побудови АІ Агентів із застосуванням Великих Мовних Моделей (LLM);
• Досвід навчання та налагодження (fine-tuning) мовних моделей;
• Досвід побудови АІ агентів, із складною архітектурою, для вирішення комплексних задач;
• Знання та розуміння бібліотек Langchain & Langraph. Продакшин досвід роботи із ними;
• Володіння Python;
• Працюєш з LLaMA, Mistral, DeepSeek, Yi, Qwen чи іншими open-source моделями. Використовували на практиці PEFT (LoRA, QLoRA, AdaLoRA);
• Розумієте під які задачі краще використати RLHF, RLAIF, DPO, PPO;
• Розумієте архітектурні підходи до побудови AI-систем (RAG, agents, tool use);
• Глибоке знання великих мовних моделей, включаючи архітектури трансформерів, такі як GPT, BERT, LLama. Розуміння їх відмінностей та оптимальні сфери використання.

Буде плюсом:

• Готували датасети під завдання, максимально автоматизовуєте процеси, активно використовуєте або навіть створюєте власні MCP;
• Викладаєте свої версії на Hugging Face і стежите за актуальними репозиторіями;
• Маєте досвід із machine learning в інших задачах, наприклад computer vision;
• Розгортання та підтримка моделей машинного навчання;
• Досвід роботи з хмарною платформою AWS.

Що ми раді вам запропонувати:

• Ми пропонуємо 5 можливих форматів роботи: віддалено, офіс у Києві, Львові, Одесі або в новому офісі на Кіпрі (Ларнака). Всі наші офіси в Україні обладнані потужним генератором зі Starlink та відкриті для наших співробітників 24/7;
• Обладнання: Ноутбук/стаціонарний ПК/додаткові монітори/спеціалізовані гаджети — все для вирішення масштабних завдань та експериментів;
• Безпека та страховка: ми чуємо наших співробітників, тому не лише слідкуємо за рівнем задоволеності співробітників, а й дбаємо про вас у скрутні моменти, завжди готові підтримати та допомогти. Також всім нашим співробітникам ми пропонуємо медичне страхування за рахунок компанії або ж грошову компенсацію на заняття спортом;
• Колеги та атмосфера: Люди, які вас оточують, визначають рівень життя. Завдяки якісним етапам співбесіди, ми підбираємо найкращих з найкращих. Ви працюватимете зі справжніми професіоналами у своїй сфері;
• Безперервний розвиток: Ми оплачуємо тренінги, семінари, щоб ви могли професійно зростати та бути в курсі останніх тенденцій. А ще у нас є велика бібліотека та книжковий клуб, до якого ви можете доєднатися;
• Корпоративна англійська: Разом із професійними викладачами, ви прокачаєте свою англійську мову та забудете про будь-які бар’єри;
• Спортивні активності:У вас буде можливість приєднатися до нашої команди з волейболу або відвідати заняття з бігу, які оплачує компанія. Ми вже пробігли декілька марафонів, адже наші тренери — справжні професіонали своєї справи;
• А ще: ми раз на місяць збираємось на обід в нашому затишному офісі за рахунок компанії, а також проводимо круті виїзні та in-house тімбілдінги, які максимально орієнтовані на знайомство і офлайн спілкування між колегами.

Наша мета — побудувати продуктову IT-екосистему різних напрямків, у якій кожен співробітник матиме можливість відкривати внутрішні стартапи, зростати та реалізовувати свої мрії. Приєднуйтеся!

Також для нас надзвичайно важливим є питання соціальної відповідальності бізнесу. На базі компанії діють два благодійні фонди, які спеціалізуються на реабілітації військовослужбовців та допомозі дітям військових і тим, хто постраждав від бойових дій. Наша компанія повністю забезпечує адміністративну діяльність цих фондів і виділяє кошти на їхні основні цілі.

Ми регулярно закуповуємо FPV-дрони та постачаємо нашим захисникам автомобілі. Цього року ми вирішили розширити нашу підтримку ЗСУ і почали інвестувати в military-стартапи, що займаються виробництвом ударних дронів, адже цей напрям є одним із найпріоритетніших для наших збройних сил.

Наголошуємо, у разі зацікавленості команди у вашій кандидатурі, ми зв’яжемося з вами будь-яким зручним способом для детального обговорення нашої вакансії!

Шукаємо на роботу інженера машинного навчання, який не боїться математики, любить глибоко розбиратись у деталях алгоритмів, вміє працювати з великими масивами зображень, розуміється на нейромережах, та має досвід у донавчанні (fine-tuning) і деплойменті моделей (diffusion, GAN, тощо). На позицію ML Engineer. Задачі — адаптація та оптимізація моделей для серверних обчислень і мобільних застосунків, вдосконалення відомих методів.

Вимоги:

• Ґрунтовне розуміння глибокого навчання, комп’ютерного зору, дифузії;
• Досвід fine-tuning моделей сегментації (наприклад, SAM, U-Net) або генеративних моделей (наприклад, Stable Diffusion, ControlNet, StyleGAN);
• Вміння працювати з PyTorch;
• Практичний досвід деплойменту моделей (TorchScript, ONNX, CoreML, TensorRT — будь-які релевантні інструменти);
• Навички роботи з Python, бажано C++.

Бажано:

• Досвід створення або використання пайплайнів для аугментації даних і аннотації (CVAT, Label Studio);
• Знання основ комп’ютерної графіки, робота з OpenCV;
• Розуміння особливостей inference на мобільних пристроях (iOS/Android);
• Досвід у low-level оптимізації ML моделей (quantization, pruning, etc).

Робота в продуктовій команді TouchRetouch

https://apps.apple.com/app/touchretouch/id373311252

Переваги роботи в ADVA Soft:

• робота в команді на результат;
• можливість вивчати найсучасніші ML/AI технології;
• гнучкий графік;
• затишний офіс;
• оплачувані лікарняні 60 днів;
• відпустка 28 днів на рік;
• компанія покриває 66% витрат на саморозвиток;
• компанія надає необхідні робочі девайси;
• офісні сервери не тільки забезпечують обчислювальні потужності, а й обігрівають воду в офісі.

Про компанію ADVA Soft

ADVA Soft – амбітна технологічна українська продуктова компанія, яка розробляє інноваційні програмні рішення для обробки зображень і мобільної фотографії. Зосереджуючись на постачанні передових продуктів, ми надаємо можливість аматорам і професіоналам вдосконалювати та трансформувати свої цифрові зображення.