Jobs Ukraine, ML / AI

ML/CV engineer

We’re looking for a passionate Machine Learning / Computer Vision Engineer to join our team.

As a member of our team, you will participate in research & development of solutions in the field of computer vision, document understanding using cutting-edge machine learning approaches. The position will involve different aspects of R&D including initial research, analysis, prototyping and development. By joining our team you’ll be able to affect Ukrainian Deftech area innovations and contribute to important today’s military products.

Responsibilities:

• Research and development of Image Processing algorithms including CV algorithms
• Research and prototyping of detection and tracking algorithms using ML and CV
• Work with data collection and analysis in order to improve efficiency of ML/CV dependent algorithms

Job Qualification:

• 2 years of commercial experience with Python
• Demonstrated hands-on experience with TensorFlow, PyTorch
• Practical Experience with Machine Learning, including designing, training, fine-tuning of ML models, and integrating machine learning systems into production environments related to Computer Vision, Document Understanding
• Experience with Object Tracking area using ML/CV
• Experience with vision transformer, vision encoder-decoder architectures
• Strong analytical and communication skills

Will be a plus:

• Experience in Miltech development
• Experience with code performance optimization
• Master’s or Bachelor’s degree in computer science, math, statistics, or related field
• Experience in C/C++ 

Working Conditions:

• official employment 
• offline work for growing deftech company (remote is also option but mostly offline)
• military exemption

We are looking for a hands-on AI Engineer to build and integrate AI-powered features while handling regular backend development tasks. You’ll work across the stack to bring intelligent features into products - from prototyping with AI models to implementing APIs and business logic.

Responsibilities:
• Develop and integrate AI-powered features (e.g., chatbots, recommendation engines, image/video analysis);
• Use pre-trained models and APIs (OpenAI, Hugging Face, etc.) or fine-tune existing models;
• Implement backend services and APIs;
• Optimize AI functionality for performance, scalability, and cost-efficiency;
• Monitor and improve AI performance in production;
• Stay up to date with recent advances in AI/ML tools and frameworks.

Requirements:
• 4+ years of experience as a software developer;
• At least 1 year of experience in AI development (including commercial work, pet projects, or non-commercial experience);
• Strong experience with AI/ML frameworks and model APIs (e.g., Hugging Face, OpenAI);
• Hands-on experience building LLM-based solutions using LangChain, RAG, and similar tooling;
•Understanding of LLMs, embeddings, vector databases, and prompt engineering;
• Language-agnostic mindset with readiness to work in different backend languages, such as Python, Node.js, or PHP;
• Ability to design and implement RESTful APIs;
• Ability to write clean, maintainable, and scalable code;
• Strong problem-solving skills and ability to translate business needs into technical solutions;
• Bachelor’s degree in Computer Science or related field.

Nice to Have:
• Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch);
•Experience with cloud platforms (AWS, GCP, Azure).

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 ➡️ Technical Interview ➡️ Job Offer

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

About Client 

The client is a technology company specializing in autonomous robotics and intelligent automation solutions for retail and commercial environments. Their products integrate advanced computer vision, artificial intelligence, and robotics platforms to enable real-time monitoring, data collection, and operational optimization in physical spaces. The company develops end-to-end robotics systems, combining hardware, embedded software, AI algorithms, and cloud-based analytics. Their solutions are focused on improving efficiency, visibility, and decision-making through automation and advanced imaging technologies. 

Job Summary 

As a Senior AI / Computer Vision Engineer (Robotics, ROS), you will develop expertise in imaging science, computer vision, artificial intelligence, and ROS (Robot Operating System). You will participate in full product development through production. You will be expected to demonstrate a level of expertise in specific areas that matches or exceeds the expertise of our customers. You will consult on system architectures and assess technical requirements and competencies needed to produce a high-quality product. 

Responsibilities 

• Represent the client Technologies AI / Computer Vision / ROS group in technical discussions and meetings. 
• Stay abreast of the latest technologies to provide competitive and cost-effective designs. 
• Raise the perception of the client’s acumen in the industry by authoring or presenting white papers. 
• Lead the development of platform and product architectures in collaboration with technical staff. 
• Perform independent research and engineering studies. 
• Effectively consult on multiple projects in parallel. 
• Develop state-of-the-art algorithms in the field of AI / Computer Vision / ROS. 
• Translate existing imaging algorithms to the client’s Robotics platform. 
• Develop tools for implementing and using AI / ML / ROS designs. 

Must Requirements 

• minimum 5–7 years of hands-on experience in AI / Computer Vision and Robotics software development, or an equivalent combination of education, training, and experience. 
• Strong hands-on experience in AI and Computer Vision algorithm development. 
• Proven experience implementing and optimizing computer vision solutions in robotics platforms. 
• Solid experience working with ROS (Robot Operating System) in production environments. 
• Experience designing system or platform architectures in AI / Robotics domains. 
• Ability to analyze algorithms for performance trade-offs (accuracy, latency, compute, memory). 
• Strong knowledge of Computational 3D Geometry. 
• Experience working with robotics or mobile imaging acquisition platforms. 
• Proficiency in C++ and Python (production-level development). 
• Experience working with Linux, including real-time environments. 
• Familiarity with modern code development frameworks. 
• Bachelor’s or Master’s degree in Engineering or Computer Science. 

#WeAreIn for jobs that impact everyone's life. What if your ideas could change the way the world connects, powers up, or thinks? As a Senior AI/ML Engineer on our Research & Development team, you'll have the opportunity to merge creativity with your technical expertise by shaping the future of technology, driving groundbreaking projects, and bringing new ideas to life. Are you in?

Key responsibilities in your new role

Work on innovative IoT, Industrial, and Automotive technologies in a fast-moving R&D team, turning ideas into real products and patents. 

• Design and develop efficient Neural Network (NN) models with sophisticated architectures for embedded domain, strongly involving application-specific knowledge
• Plan and execute practical experiments to collect/create high-quality datasets
• Combine NN and classic signal processing approaches to make the highly efficient pipelines of problem solving
• Implement the developed solutions under real-world end-user scenarios and requirements and verify its functionality at the Infineon hardware (PSOC, wireless SOCs)
• Help with ML/AI related design and implementation in different team projects

Your Profile

Qualifications and skills to help you succeed

• A master’s degree in electrical engineering or computer science (or equivalent) and 2-3 years of related research/engineering experience
• Strong background in mathematical modeling and numerical analysis
• Knowledge of modern NN architectures, Machine Learning tools and trends
• Proficiency in Python and at least one ML framework (PyTorch or TensorFlow)
• Experience with at least one of the following: signal / speech /image / video processing / wireless communication is a plus
• Understanding of embedded systems and Knowledge of Nvidia Deep Learning framework, and familiarity with patents, papers, publications on relevant technical subject matter is a plus
• Intermediate English writing, communication, and presentation skills

Please send us your CV in English.

👋 Hey! We are Kultprosvet — a team of passionate web and mobile developers who build meaningful products with care.
We’re expanding and looking for an experienced Senior Computer Vision Engineer to join our team and take ownership of the AI/ML direction in one of our key products.

📸 About the Project:

Our platform empowers photographers by combining beautiful online galleries, smart automation, and eCommerce tools.
Through the power of AI and machine learning, we automate image recognition, enhance visuals, and unlock new business potential for creatives worldwide.

You’ll be working on the core AI layer of a high-impact real-world product used by professional photographers and their clients.

✅ Requirements:

• Source Code Management
• Solid understanding of data structures, data science techniques, and algorithms
• Experience with Python and data processing tools (SciPy, NumPy, Pandas, etc.)
• Experience with ML model creation in PyTorch
• Experience with the development of APIs for ML models
• Upper-Intermediate English speaking skills

➕ Nice to Have:

• Experience with modern AI techniques such as transformers and contrastive pretraining

You will:

• Creating AI/ML-based algorithms for computer vision tasks
• Building and maintaining the infrastructure for data and model management
• Organizing ML model training

• Integrating AI/ML-based services with the project

   

🎁 What We Offer:

🏡 Flexible work setup — remote or from our office in Dnipro.
💰 Senior-level compensation, paid vacations, and sick leave.
🩺 Medical insurance and full accounting support.
📚 Budget for courses, conferences, and professional development.
🧠 Coverage for psychotherapy sessions — your well-being matters.

💡 If you’re ready to take full ownership of CV/ML in a fast-moving, high-impact product — let’s talk! 🚀

Project Overview 

The project involves creating an intelligent chatbot that enables users to query a complex knowledge base (intranet pages, posts, PDFs, etc.). The technical challenge is building a high-performance AI service within the existing .NET ecosystem. The solution must handle sophisticated multi-tenant access control, ensuring the AI generates answers strictly based on the user's dynamic access rights. 

Technical Approach 

• AI Service: Developed as a standalone microservice using .NET 8/9 and C#. 
• Integration: Seamless communication with the existing .NET/Angular platform via REST API. 
• AI Frameworks: Utilization of Microsoft Semantic Kernel or similar .NET-native AI orchestration tools. 

• Core Logic: Implementation of RAG (Retrieval-Augmented Generation) pipelines and vector search within the .NET stack. 

   

Duties and Responsibilities 

• Design and implementation of a .NET-based AI microservice utilizing OpenAI models. 
• Development of RAG pipelines in C# to process and retrieve information from various document formats. 
• Implementation of Tenant-Aware AI logic to mirror the platform’s dynamic role-based access structure. 
• Ensuring high response quality with mandatory Source Attribution (links to original documents). 
• Applying technical guardrails to minimize hallucinations and ensure factual accuracy. 
• Deploying and managing the microservice within a Dockerized environment. 
• Collaborating with the core .NET team to define a scalable integration and data synchronization strategy. 

• Creating technical documentation for the internal development team. 

   

Skills and Qualifications 

• B.Sc. or M.Sc. degree in computer science, applied math, or similar. 
• 7+ years of experience in .NET development (C#), with a strong focus on backend architecture. 
• 2+ years of experience working with Generative AI, LLMs, and OpenAI APIs within the .NET ecosystem. 
• Proficiency in Microsoft Semantic Kernel, AutoGen, or LangChain.net. 
• Solid understanding of vector databases (e.g., Pinecone, Weaviate, or pgvector) and RAG techniques. 
• Experience with Docker and cloud-native deployment (AWS, UpCloud, or Azure). 
• B2+ English communication skills. 
• High responsibility, pro-activity, and attention to technical details. 

Quantum is a global technology partner delivering high-end software products that address real-world problems.

We advance emerging technologies for outside-the-box solutions. We focus on Machine Learning, Computer Vision, Deep Learning, GIS, MLOps, Blockchain, and more.

Here at Quantum, we are dedicated to creating state-of-art solutions that effectively address the pressing issues faced by businesses and the world. To date, our team of exceptional people has already helped many organizations globally attain technological leadership.

We constantly discover new ways to solve never-ending business challenges by adopting new technologies, even when there isn’t yet a best practice. If you share our passion for problem-solving and making an impact, join us and enjoy getting to know our wealth of experience!

About the position

Quantum is expanding the team and has brilliant opportunities for a Senior Data Science / LLM Engineer. The client is a technological research company that utilizes proprietary AI-based analysis and language models to provide comprehensive insights into global stocks in all languages. Our mission is to bridge the knowledge gap in the investment world and empower investors of all types to become “super-investors.”

Through our generative AI technology implemented into brokerage platforms and other financial institutions’ infrastructures, we offer instant fundamental analyses of global stocks alongside bespoke investment strategies, enabling informed investment decisions for millions of investors worldwide.

Must have skills:

• 3+ years of commercial experience as a Data Science Engineer
• Strong knowledge of linear algebra, calculus, statistics, and probability theory
• Knowledge and experience with algorithms and data structures
• 2+ years of experience with LLM and Natural Language Processing-related tasks
• Knowledge of modern DL architectures
• Experience with at least one of the Deep Learning frameworks (Tensorflow, PyTorch)
• Experience with SQL
• Strong knowledge of OOP
• At least an Upper-Intermediate level of English (spoken and written)

Nice to have skills:

• Experience with production ML/DL frameworks (OpenVino, TensorRT, etc.)
• Docker practical experience
• Experience with Cloud Computing Platforms (AWS, GCloud, Azure)
• Participation in Kaggle competitions

Your tasks will include:

• Full-cycle data science projects
• Data analysis and data preparation
• Development of NLP solution and AI-based chatbots
• Developing models and deploying them to production
• Sometimes, this will require the ability to implement methods from scientific papers and apply them to new domains

We offer:

• Delivering high-end software projects that address real-world problems
• Surrounding experts who are ready to move forward professionally
• Professional growth plan and team leader support
• Taking ownership of R&D and socially significant projects
• Participation in worldwide tech conferences and competitions
• Taking part in regular educational activities
• Being a part of a multicultural company with a fun and lighthearted atmosphere
• Working from anywhere with flexible working hours
• Paid vacation and sick leave days

Join Quantum and take a step toward your data-driven future.

Job Description

• 8+ years of experience as an AI/ML Engineer or in a similar data-intensive role
• Hands-on expertise in AI/ML pipelines and model lifecycle management
• Strong experience in data curation, feature engineering, and preparing datasets for ML
• Proven track record integrating ML solutions into CI/CD pipelines
• Experience training, fine-tuning, evaluating, and deploying ML models in production environments
• Proficiency in Python for ML integration and automation
• Knowledge of Jira or other issue tracking systems
• Upper-intermediate English proficiency (spoken and written)

Job Responsibilities

• Lead AI-driven initiatives to integrate smart automation into CI/CD pipelines, accelerating development and reducing manual overhead
• Curate, annotate, and optimize datasets to train models that improve engineering processes
• Build recommendation systems and fine-tune models to enhance team decision-making and workflow efficiency
• Implement AI-based Jira issue triaging to streamline task management
• Collaborate closely with developers and product teams to embed ML solutions that deliver measurable impact

Department/Project Description

We are seeking a highly skilled AI/ML Engineer to lead the digital transformation of our software development and testing workflows.

Our client is a leading American multinational information technology corporation, headquartered in California, USA, recognized as one of the world's largest companies in the IT sector. 

The company specializes in developing and manufacturing computing, data storage, and networking hardware, alongside designing software and delivering services. Their major product lines include personal computing devices, enterprise servers, and a diverse range of printers and imaging products.

The project involves the development of a comprehensive software package for a large OEM vendor. This software is designed for both enterprise and consumer environments and is installed on endpoint devices. It integrates various cutting-edge services, such as AI companion tools, workplace management solutions, and Smart Office integration.

As part of the GlobalLogic team, you will grow, be challenged, and expand your skill set working alongside highly experienced and talented people.

If this sounds like an exciting opportunity for you, send over your CV!

Client

Our client is a leading legal recruiting company aiming to build a data-driven platform specifically designed for lawyers and law firms. The platform brings everything together in one place — news and analytics, real-time deal and case tracking from multiple sources, firm and lawyer profiles enriched with cross-linked insights, rankings, and more.

Project overview

The platform aggregates data from hundreds of public sources, including law firm websites, deal announcements, legal databases, and media publications, creating a unified ecosystem of structured and interconnected legal data.

It combines AI-driven enrichment, automated data processing, and scalable infrastructure to ensure comprehensive and reliable coverage of the legal market.

Position overview

We are looking for a Lead AI/ML Engineer who will also take ownership of AI architecture, technical strategy, and team mentorship.

Responsibilities

• Develop and deploy AI/ML models leveraging GenAI (OpenAI API) for natural language understanding, summarization, and insights extraction
• Build named entity recognition (NER) and entity linking solutions tailored to legal domain data (law firms, cases, deals, people)
• Implement scalable NLP pipelines for processing news, legal documents, and transaction data from multiple sources
• Design, train, and evaluate ML models to improve search, classification, and recommendation features
• Collaborate with AWS teams to deploy and maintain models using SageMaker, manage datasets on S3, and ensure reliable operation and scalability
• Integrate AI capabilities seamlessly into the web platform, working alongside front-end and backend engineers
• Continuously research new AI models and NLP techniques relevant to legal data and user experience

Requirements

• Strong experience designing and implementing end-to-end AI/ML solutions in production environments.
• Hands-on experience with GenAI, including practical usage of the OpenAI API.
• Solid background in NLP, with hands-on experience in Named Entity Recognition (NER) and entity linking.
• Hands-on experience working with AWS, including services such as SageMaker and S3.
• Strong Python skills with practical experience using TensorFlow, PyTorch, and Hugging Face Transformers.
• Practical experience designing and implementing RAG (Retrieval-Augmented Generation) solutions.
• Proven experience building and implementing Recommendation Engines.

Nice to have

• Experience architecting scalable AI/ML systems on Amazon Web Services.
• Experience working with complex, data-intensive machine learning pipelines.
• Experience combining NLP, GenAI, and recommendation systems within a single solution.

We are seeking a Senior ML to join our AI & Data project. In this role, you will combine high-end machine learning engineering with a revolutionary approach to software delivery. You will not just build AI; you will build AI using AI, orchestrating agentic workflows to deliver complex solutions at a velocity traditional teams cannot match.

You will focus on building practical, production-ready solutions that bridge the gap between unstructured data and structured logic using LLMs, agentic workflows, and knowledge representations (ontologies, knowledge graphs). You are expected to be an "AI-Native" pioneer, utilizing tools like Claude Code, Cursor, Antigravity, and custom MCP servers to automate your own development lifecycle - from data exploration and model evaluation to code generation and documentation.

Requirements:

• 4+ years of professional experience in machine learning, data science, or AI engineering.
• Software development background 
• Strong proficiency in Python and the modern ML/AI ecosystem (e.g., PyTorch, Hugging Face, LangChain/LangGraph, Scikit-learn).
• Hands-on experience with data ingestion, RAG pipeline optimization, model evaluation, deployment (MLOps), and monitoring.
• Deep understanding of generative AI (LLMs, embeddings, RAG, prompt engineering, and agentic reasoning) and its practical constraints (latency, cost, safety, hallucinations).
• Experience turning complex business needs into "machine-ready" technical specifications and acceptance criteria.
• Strong experience with major cloud platforms; hands-on Azure knowledge (Azure AI Search, Azure OpenAI) is highly desirable.
• Evidence of using modern GenAI tools (Claude Code, GitHub Copilot, etc.) to significantly accelerate your development and testing process.
• Good English to work in a multinational team

Responsibilities: 

• Work with stakeholders to translate domain-specific knowledge into "Spec-Driven" ML architectures and agentic workflows.
• Design and implement solutions that combine the reasoning power of LLMs with the precision of structured knowledge (ontologies/knowledge graphs).
• Pilot the Claude Code CLI and other agentic tools to generate code, run automated tests, and maintain "Context Hygiene" within the project repository.
• Apply structured 4-phase debugging to ML pipelines, focusing on root-cause analysis of hallucinations, retrieval failures, and data drift.
• Define and automate "Skills" (prompt libraries, evaluation scripts, and deployment templates) to be re-used across multiple AI-Native pods.
• Define and implement quality gates, safety metrics, and cost-control practices for GenAI components.
• Lead by example in adopting AI-Native practices, mentoring the AI Apprentice and other team members in the "People + Agents" delivery model.
• Strong problem-solving and follow-up skills; must be proactive and take initiative
• Work independently on development tasks with a minimal amount of supervision

What is in for You: 

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

Reinvent Logistics with AI: Join Logivations as a Machine Learning Developer Are you passionate about AI? At Logivations, we develop some of the world’s most advanced AI-driven Real Time Digital Twins and robots for international companies. We’re on the lookout for both rising talents and seasoned experts to help us push the boundaries of machine learning and computer vision in logistics.

Why Join Logivations?

• Work on cutting-edge AI technologies used by top global brands.
• Contribute to AI-driven solutions that optimize real-world operations.
• Receive competitive compensation in euros and professional growth opportunities.
• Collaborate with a dynamic, future-focused team that encourages you to innovate and learn.

The Role: Machine Learning Developer

You’ll work directly with our AI team to boost system efficiency and create next-generation solutions. This role includes hands-on R&D and practical applications of AI and computer vision in logistics.

Why It’s Great for Juniors

• Mentorship & Learning: Work with experienced AI developers eager to share knowledge.
• Practical Exposure: Gain real-world experience with cutting-edge ML, CV, and robotics projects.
• Skill-Building: Develop in-demand Python, ML, and computer vision skills that accelerate your career.

Your Responsibilities

• Apply Machine Learning & Computer Vision to logistics challenges.
• Implement & Extend state-of-the-art deep learning research (e. g. Llama from Meta and ChatGPT from OpenAI)
• Design Novel Solutions with your unique expertise and creativity.
• Work on guidance of autonomous vehicles, camera-based object identification, and object tracking.
• Stay Updated on new research to continuously refine our AI toolkit.

Your Profile

• Educational Background: Bachelor’s or Master’s in Computer Science, Mathematics, Statistics, Operations Research, or a related field.
• Technical Skills:
  • Proficient in Python; basic C++ is a bonus.
  • Comfortable with Linux, Bash, Docker.
  • Familiarity with ML libraries or frameworks (e. g. TensorFlow, PyTorch, Keras, TensorRT, gstreamer, pyro, Numpy, Fastapi) is a plus.
• Learning Mindset: Eager to explore new research and tackle complex problems.
• Creative Innovator: You love developing fresh ideas to drive real-world impact.
• Team Player: Strong communication skills and a desire to collaborate.
• English Proficiency: Intermediate or higher English for daily communication.

What We Offer

• High-Impact, Exciting Projects: Solve challenging problems that shape the future of AI and robotics.
• Competitive Salary in Euros: Reflecting your expertise and contributions.
• Flexible Work Setup: 3 days in the office, 2 days at a location of your choice.
• Professional Growth: Work on the latest research; grow your skill set with continuous learning.
• Travel Opportunities: Visit clients and see your solutions in action around the globe.
• Supportive Environment: Modern workspace, collaborative team culture, and direct project ownership.

Ready to Shape the Future of AI-Driven Logistics? Send your CV or resume to [apply]. We look forward to meeting you and exploring how your skills can power the next wave of AI innovation at Logivations.

Requirements:

• Experience with Transformer models: BERT, RoBERTa, GPT, T5, LLaMA, Mistral, Falcon, etc.
• Strong knowledge of Python; experience with PyTorch, TensorFlow, and Hugging Face Transformers.
• Understanding of modern LLM architectures and fine-tuning techniques: LoRA, PEFT, Instruction Tuning, RAG.
• Experience with NLP tasks: classification, text generation, machine translation, QA systems, etc.
• Familiarity with evaluation metrics: accuracy, F1, BLEU, perplexity, ROUGE, etc.
• Basic knowledge of statistics and classical machine learning.
• Experience with MLflow, DVC, or similar tools.
• Experience with model containerization (Docker).
• Understanding of CI/CD principles in ML projects.
• Skills in model deployment using FastAPI / Flask / TorchServe / Triton.
• Experience with cloud infrastructure (AWS, GCP, Azure, or local cloud providers).

• Bonus: experience with Kubernetes, Airflow, Kubeflow, Ray.

   

Responsibilities:

• Selecting and configuring modern Transformer/LLM models for company-specific tasks.

Fine-tuning, LoRA tuning, model distillation, and quantization.

• Preparing and processing datasets (including augmentation).
• Deploying models to production and automating pipelines (data → training → inference).
• Monitoring model performance in production, retraining, and optimization.
• Collaborating with Data Engineers and DevOps to build the MLOps infrastructure.

• Evaluating model performance using various metrics and analyzing results to identify areas for improvement and optimization.

   

We offer you:

• Having the capability to create something new and witness your own input.
• You can find confidence in the future here, but rest assured it won't be dull. 
• Join a dynamic and expanding community. Our company is experiencing growth and expanding into Europe. Currently, we have offices in Kyiv, and Warsaw and plan to open additional locations in other countries. 
• Full-time employment contract.
• Multisport (light). 
• Paid vacation, sick leave.

Interested in joining our team? We invite you to submit your CV.

<By submitting your CV to LLC “GigaCloud”, EDRPOU code [39792589] (hereinafter referred to as the “Company”), in response to our vacancy, you consent to the processing of your personal data contained in the CV by the Company in accordance with the Law of Ukraine “On Personal Data Protection”, ISO 27701 Information Privacy Management System, and the provisions of the GDPR>.

About The Role

As a Middle Software Engineer in our Machine Learning department, you will take ownership of high-impact initiatives that drive product quality, monetization, and user experience. You’ll apply your expertise in Python, data analysis, and modern AI tools to build, deploy, and optimize ML solutions end-to-end. This is a hands-on technical role that blends data science and engineering to deliver measurable business outcomes. You’ll collaborate closely with cross-functional stakeholders and contribute to evolving areas such as LLMs, Generative AI, and ML infrastructure. The role offers exposure to complex data challenges and the opportunity to shape Pearl’s AI-driven capabilities.

What You’ll Do

• Build, train, and deploy ML models that improve product performance and monetization.
• Collaborate with data, product, and engineering teams across multiple internal initiatives.
• Design and implement data pipelines for extraction, transformation, and analysis.
• Apply statistical and machine learning techniques to real-world business problems.
• Work on projects involving LLMs and Generative AI technologies.
• Analyze large datasets to identify trends, insights, and optimization opportunities.
• Integrate ML models into production systems and monitor their performance.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders.
• Experiment with emerging AI tools and methodologies to enhance existing workflows.
• Ensure data quality, reliability, and scalability in all deliverables.

What We’re Looking For

• 3+ years of hands-on experience in ML Engineering or Data Science.
• 3-4+ years total experience in software or data engineering.
• Strong programming skills in Python.
• Proficiency in SQL for data querying and analysis.
• Solid understanding of data processing, analysis, and visualization.
• Experience with LLMs / Generative AI tools (e.g., OpenAI, Copilot, Cursor).
• Ability to build and deploy ML models end-to-end.
• Strong analytical and problem-solving mindset.
• Experience with .NET for integration work
• Upper-intermediate English proficiency (B2 or higher).
• Familiarity with Databricks or similar data platforms (nice-to-have).
• Exposure to AWS or other cloud-based ML environments (nice-to-have).

Why Join Us?

• High-Impact Data — Work with vast datasets generated by over a million daily visits, uncovering valuable insights.
• Collaborative Analytics Team — Join a team of 30+ skilled analysts who actively share knowledge and support each other.
• Cutting-Edge Tools & Techniques — Get hands-on experience with ML, Bayesian methods, and LLMs to solve real business challenges.
• Data-Driven Culture — Thrive in an environment where data informs every decision and drives continuous improvement.

Job Description

Uses best practices and knowledge of AI/ML methodologies to improve products and services through intelligent automation. Solves complex business problems by designing novel AI agent solutions that combine existing technologies in innovative ways.
 

Job Responsibilities

• 4-6 years’ hands-on experience working as Sr AI/ML Developer with at least three complete agentic AI system implementations
• 4-6 years’ hands-on experience with cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI)
• 4-6 years hands-on experience with Python AI/ML frameworks (LangChain, LlamaIndex, Transformers, PyTorch)
• 4-6 years’ hands-on experience integrating LLMs with external systems and enterprise applications
• Experience working with vector databases, knowledge graphs, and RAG pipeline development
• Advising on best practices for AI agent development and enterprise AI integration processes
• Experience in deploying AI models and agents in multiple environments (dev, staging, production)
• Experience managing stakeholder communication regarding AI capabilities, limitations, and project timelines, including managing expectations, foreseeing AI-related risks, and reporting them.
   

Department/Project Description

This position will design and build intelligent AI agent systems, LLM-based applications, and autonomous
workflow solutions within the context of our enterprise applications. We are looking for a candidate to provide
expertise in Large Language Models, multi-agent architectures, RAG systems, Python development, cloud AI
services, and enterprise AI integration. This individual will have broad experience in developing and deploying
agentic AI solutions that can autonomously perform complex business tasks.

N-iX is looking for a Senior Machine Learning Engineer in Kyiv. You will be responsible for designing, developing, and deploying machine learning models at scale within the Palantir Foundry ecosystem. You will collaborate closely with data scientists, MLOps engineers, and data engineers to build robust, production-grade ML workflows—from data preparation and feature engineering to model training, evaluation, deployment, and monitoring.

Company provides military reservation (after successfully passing trial period).
 

Key Responsibilities

• Design and implement scalable ML models for use in predictive analytics, forecasting, and classification tasks.
• Work with Palantir Foundry to build end-to-end ML pipelines, including custom Python code, Foundry Functions, and Ontology-aware feature generation.
• Collaborate with Data Engineers to ensure high-quality, model-ready data flows from ingestion to inference.
• Operationalize models using industry best practices for versioning, reproducibility, and monitoring (e.g., via MLflow or native Foundry tools).
• Contribute to MLOps automation, including CI/CD for ML, drift detection, retraining pipelines, and evaluation dashboards.
• Partner with business stakeholders and domain experts to translate scientific or commercial hypotheses into model-based solutions.
• Apply rigorous experimentation and statistical validation to ensure models are explainable, generalizable, and regulatory-compliant.
• Stay informed on the latest developments in ML/AI and proactively introduce innovative techniques and frameworks.

Must-Have Skills & Experience

• 3+ years of experience in machine learning or applied data science, ideally in a production or enterprise setting.
• Strong programming skills in Python, with deep experience in machine learning libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Experience designing and deploying ML workflows at scale, preferably with experience in Foundry, KubeFlow, SageMaker, or similar platforms.
• Familiarity with feature engineering, data imputation, sampling strategies, and evaluation techniques 
• Hands-on experience with model deployment and monitoring, including logging metrics, detecting drift, and managing model lifecycles.
• Comfort working with structured and unstructured data: tabular, time series, text, etc.
• Solid understanding of data security, privacy, and compliance.
• Strong communication and stakeholder engagement skills; capable of explaining complex models in simple terms.
• English level at least Upper-Intermediate. 
   

Will be a plus: 

• Experience with Palantir Foundry.
   

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