Jobs

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

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

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

Role Mission: 

We are looking for a strong Machine Learning Engineer who can build and improve ML models used in our product. Most of the tasks are related to computer vision and image processing. You will work on both common tasks like segmentation, detection, and classification, as well as more complex problems involving Diffusion Models, LLMs, VLMs, and other custom tasks without ready-made solutions.

You should be able to work independently, move fast, and quickly test new ideas.

What You Will Do

• Build and improve ML models, mostly for computer vision tasks.
• Handle the full ML process: collect and prepare data, train and test models, and improve them step by step.
• Work on both standard and new types of problems.
• Create fast prototypes and help turn successful ones into real products.
• Work closely with other teams to bring your models into the product.

What We’re Looking For

• 3+ years of real-world experience with ML, including at least 2 years in computer vision.
• Good understanding of how to build ML systems from start to finish.
• Hands-on experience with one or more of these: object detection, segmentation, img2img, generative networks.
• Ability to read, understand, and implement ideas from cutting-edge research papers. You stay current with top conferences (e.g., CVPR, NeurIPS, ICCV) and can turn academic innovations into practical solutions.
• Strong skills in Python and PyTorch.
• Experience optimizing models for efficient inference on local devices (CPU, GPU, NPU), including quantization, pruning, and runtime adaptation.
• Able to work with and explore large datasets.
• Comfortable working on your own and taking full responsibility for your tasks. Experience with prototyping and working in an R&D cycle.

Nice to Have

• Experience in research (PhD, papers, or personal projects).
• Experience training or fine-tuning foundational models (LLMs, VLMs).
• Experience training or fine-tuning diffusion models for specific image generation or enhancement tasks.
• Familiarity with classical image processing techniques.
• Experience with deep learning inference frameworks like ONNX Runtime, OpenVINO, Core ML, or others.
• Strong C++ skills, close to your Python level.
• Enjoy building and testing product ideas quickly.

What we offer:

For personal growth:

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

For comfort:

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

For health:

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

For leisure:

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

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

Our client is a company that is one of the prominent providers of unique online slot games based in Spain. The team creates modern and exciting slot games, providing a unique gaming experience for millions of users.

What You'll Do:

• Build integrations with Jira, Confluence, Slack: REST API, webhooks, OAuth2; normalize and load data into PostgreSQL.
• Create dashboards (onboarding, lead time/throughput, workload, overdue tasks, AI automation impact) in Metabase/Superset or lightweight React panels.
• Develop small backend services: FastAPI endpoints, schedulers, alerts; handle rate limits, retries, and idempotency.
• Support the ML team: prepare datasets for RAG/vector search, collect telemetry on AI feature usage.
• Use AI assistants (Copilot, Cursor, Claude Code) for prototyping, refactoring, and test generation — always with proper verification.
• Write short documentation (README, ADR) together with tech/UX writers.

What We Expect:

• 3+ years of experience in developing internal tools/automation.
• Python 3.10+, FastAPI, async/await, typing.
• SQL/PostgreSQL (schemas, indexes, window functions, materialized views).
• SaaS API integrations (Atlassian preferred), webhooks, error handling.
• Docker (multi-stage builds, docker-compose), basic logging and monitoring.

• Hands-on experience with AI assistants (Copilot, Cursor, Claude Code) and a culture of code verification.

   

  Nice-to-have:

• TypeScript/Node.js and/or React for simple admin panels.

Сompanу offer:

• Work on impactful internal tools that directly improve team efficiency.
• Opportunity to actively use AI assistants and be at the forefront of AI-driven development.
• Modern tech stack.
• Flexible schedule and remote-first culture.

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

YOUR ROLE

The Senior Statistician collaborates with Biostatisticians, Statistical Programmers, Clinical Data Managers, Clinical Research Associates, and sponsors’ teams to provide high-quality, reliable statistical expertise and support. Additionally, they perform and oversee quality control (QC) of data displays with inferential statistics. Also, Senior Statistician conduct QC analysis datasets prepared by others, maintain project administration files (including protocols, annotated CRFs, statistical analysis plans, annotated shells, programming/QC rules, tracking logs, and project communications).

• Statistical leadership and support to clinical trials
• Participate in cross-functional study-related activities and team meetings
• Perform sample size calculations when needed
• Author or review statistical analysis plans
• Coordinate with other biostatisticians, statistical programmers and data managers to prepare/conduct/review statistical analyses.
• Ensure the accuracy of final statistical deliverables.
• Provide guidance and supervision to programmers in authoring analysis dataset specifications and programming/validation of tables, listings, and figures.
• Perform validation of analysis variables and statistical outputs

• Participate in other activities and meetings to support Biostatistics and the Development Team as needed.

   

YOUR PROFILE

• Advanced conversational English (B2, C1, C2)
• Master’s degree in statistics or related fields with 6+ years of industry experiences as a Statistician
• PhD degree with 3+ years of postgraduate experiences in Biostatistics or equivalent.
• Ability to lead project and manage team members and work collaboratively, effectively, and productively in diverse organization structures.
• Solid statistics background and training, working knowledge of advanced statistical methodologies and SAS programming skills
• Good understanding of drug development and experiences with clinical trial data analyses/preparation for submissions
• Good knowledge and understanding of regulatory guidelines
   

What You Will Love About Working Here

• We care about all our employees and want them to feel as comfortable as possible. That's why we offer health insurance from the first days, regardless of the probationary period.
• The Gift from the Company - Christmas holidays from December 25 to December 31.
• Cooperation with Superhumans center and Veteran HUB. Capgemini Engineering has supported the launch of psychological rehabilitation department of Superhumans. Our team also donated over UAH 500 000 prosthetics for three Ukrainian defenders. Currently, we support psychological counseling provided by the Veteran Hub, and we have implemented an internal policy making the company friendly to military and veterans with the assistance of the Hub.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

🌎 Akvelon is a known USA company, with offices in places like Seattle, Mexico, Ukraine, Poland, and Serbia. Our company is an official vendor of Microsoft and Google. Our clients also include Amazon, Evernote, Intel, HP, Reddit, Pinterest, AT&T, T-Mobile, Starbucks, and LinkedIn. To work with Akvelon means to be connected with the best and brightest engineering teams from around the globe and working with an actual technology stack building Enterprise, CRM, LOB, Cloud, AI and Machine Learning, Cross-Platform, Mobile, and other types of applications customized to the client’s needs and processes.

We are looking for a Senior Machine Learning Scientist / Engineer with a strong research and engineering background in Natural Language Processing and Large Language Models (LLMs) to lead the development of advanced reasoning and summarization systems. You will drive cutting-edge innovation in multi-document understanding, reasoning LLMs, and model alignment techniques, working on greenfield challenges with meaningful, real-world applications.

Requirements:

• Substantial research experience in Reasoning LLMs, Chain of thought, Post training LLMs, RLHF, LLM Alignment, NLP areas
• Hands-on experience with training or fine‑tuning open‑source reasoning LLMs
• Deep expertise in NLP and LLM architectures
• Proven ability to design and run independent research and experimentation
• Strong Python and modern ML tooling skills
• Excellent written and verbal communication
• Ability to work autonomously

Nice to have:

• Applied research experience in Financial (Investing) domain
• PhD in Machine Learning, NLP, Computer Science, or a related field
• Applied research experience in industry
• Contributions to notable open‑source LLM projects (datasets, libraries)
• Publications and/or original research in the area
• GCP experience is strongly preferred

Overlap: up to 2PM EST (8PM CET)

Working conditions and benefits:

• Paid vacation, sick leave (without sickness list)
• Official state holidays — 11 days considered public holidays
• Professional growth while attending challenging projects and the possibility to switch your role, master new technologies and skills with company support
• Flexible working schedule: 8 hours per day, 40 hours per week
• Personal Career Development Plan (CDP)
• Employee support program (Discount, Care, Health, Legal compensation)
• Paid external training, conferences, and professional certification that meets the company’s business goals
• Internal workshops & seminars
• Corporate library (Paper/E-books) and internal English classes

Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses.

We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.

Responsibilities:

• Leadership & Management
• Machine Learning & LLM Expertise
• AWS Cloud Expertise
• Technical Execution
• Team Development & Communication

Qualifications:

• Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);
• Strong expertise in AWS Cloud Services;
• Strong experience in ML/AI, including at least 2 years in a leadership role;
• Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
• Familiarity with MLOps tools and best practices;
• Excellent problem-solving and decision-making abilities;
• Strong communication skills and the ability to lead cross-functional teams;
• Passion for mentoring and developing engineers.

The Role

We’re looking for a Senior ML Engineer to lead the design, deployment, and optimization of large-scale models powering intelligent agents. Your role spans model architecture, operational deployment, and production monitoring.

Key Responsibilities

• Design, fine-tune, and evaluate large language models and neural networks for modular agent behavior
• Build robust ML pipelines (data ingestion, feature engineering, model training, serving, monitoring)  
• Develop containerized model serving infrastructure (Docker, Kubernetes), integrating with backend APIs
• Implement evaluation frameworks, A/B testing, and performance metrics to quantify agent effectiveness
• Ensure reproducibility, traceability, and compliance across ML lifecycle
• Collaborate with backend engineers to define inference service SLAs and efficient real-time ML delivery
• Mentor junior ML teammates and establish team-level best practices

Requirements

• 5+ years as an ML Engineer or applied ML researcher with production model deployment experience
• Strong Python skills, experience with ML frameworks (TensorFlow, PyTorch) and LLM tooling (HuggingFace)
• Expertise in MLops: Docker, Kubernetes, model serving (e.g., Triton, FastAPI), CI/CD
• Familiarity with data pipelines, SQL, cloud platforms (AWS SageMaker, GCP Vertex, Azure ML)
• Solid understanding of model evaluation, A/B testing, and ML performance metrics
• Excellent collaboration skills with product, backend, and data teams

Nice to Haves

• Prior work with conversational agents, retrieval-augmented generation, or multi-model orchestration
• Experience with vector search stacks (e.g. Pinecone, FAISS)
• Knowledge of embedding techniques, prompt engineering, or Reinforcement Learning from Human Feedback (RLHF)
• Startup experience and ability to navigate ambiguity and shape technical direction

Why You Should Join

• Competitive equity & pay - get in early and own what you build.
• Work closely with experienced founders with a proven startup track record.
• Move fast, ship fast - no corporate bureaucracy.
• Shape the AI revolution in healthcare - massive market, untapped potential

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, 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 MLOps Team Lead to join our innovative team. You will lead a group of highly skilled MLOps Engineers, develop robust MLOps pipelines, create cutting-edge Generative AI solutions, effectively engage with customers to grasp their requirements, and oversee project success from inception to completion.

📍 Work location - remote from Ukraine.

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

Responsibilities:

• Manage a team of highly professional MLOps Engineers focusing on their growth and execution excellence.
• Lead and be responsible for on-time, great-quality project deliveries
• Developing MLOps pipelines leveraging the Amazon SageMaker platform and its features
• Developing Generative AI solutions and POCs, utilizing the latest architectures and technologies
• Delivering end-to-end ML products - model performance development, training, validation, testing, and version control
• Provision of ML AWS resources and infrastructure
• Developing ML-oriented CI/CD pipelines using GitHub Actions, BitBucket, or similar tools
• Deploying Machine Learning models in production
• Help customers tackle challenges on a scale using distributed training frameworks 
• Using and writing Terraform libraries for infrastructure deployment
• Developing CI/CD pipelines for projects of various scales and tech stacks
• Maintaining infrastructures and environments of all types, from dev to production
• Security monitoring and administration

Requirements:

• Proven leadership experience with a track record of managing and developing technical teams.
• Excellent customer-facing skills to understand and address client needs effectively.
• Ability to design and implement cloud solutions and to build MLOps pipelines on AWS
• Experience with one or more MLOps frameworks like Kubeflow, MLFlow, DataRobot, Airflow, etc. 
• Fluency in Python, a good understanding of Linux, and knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
• Ability to understand tools used by data scientists and experience with software development and test automation
• Experience with one or more large language models, such as frameworks like OpenAI SDK, Amazon Bedrock, LangChain, and LlamaIndex
• Experience with Docker and Kubernetes
• Fluent written and verbal communication skills in English
• Working knowledge of some Vector Databases such as OpenSearch, Qdrant, Weaviate, LanceDB, etc. - an advantage
• Working knowledge with Snowflake, BigQuery, and/or Databricks - an advantage
• GCP or Azure knowledge (DevOps/MLOps) - an advantage
• ML certification (AWS ML Specialty or similar) - an advantage

Beneftis

• 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, recognizing the value you bring to our team.

AI Platform Engineer

(LLM Ops & Scalable ML)

Location — Remote-first within the EU/EEA (occasional EU travel for team off-sites)
Department — Engineering
Employment type — Full-time, permanent
 

About Trialize

Trialize is transforming clinical trials with an AI-driven SaaS platform that automates study set-up, streamlines data flow and boosts data integrity. We serve pharmaceutical companies, biotech firms and CROs, helping them run faster, more reliable trials and bring life-changing therapies to patients sooner.

Role overview

We are looking for a AI Platform Engineer who can design, build and operate the next generation of our LLM-powered infrastructure.

Must-have experience

• Proven success with MCP, A2A and LoRA (or other parameter-efficient fine-tuning methods) in production.
• Demonstrably fast thinker / fast maker – you can prototype, benchmark and ship in days.
• Pro-level coding in Python or TypeScript / JavaScript, including test automation and CI/CD.
• Expertise in graph databases (schema design, Cypher/Gremlin, sharding, backup, HA).
• Deep knowledge of async messaging patterns with Kafka, gRPC or tRPC.
• Hands-on production experience with Kubernetes, Terraform and multi-cloud deployment.
• Ability to stand up end-to-end solutions (similar to Lovable, Rork, or equivalents) autonomously.
• Expert understanding of Retrieval-Augmented Generation (RAG) design patterns, latency trade-offs and evaluation metrics.

Nice-to-have

• Familiarity with GPU scheduling (Karpenter, Kubeflow, Ray Serve).
• Prior work on FDA-regulated or ISO-compliant software.
• Contributions to open-source LLM ops or vector-database projects.

Why join Trialize?

• Build the future of clinical AI – your work shortens the path to new medicines.
• Autonomy & speed – ship without red tape in a senior, high-trust team.
• Continuous learning – budget for conferences, certs and cloud credits.
• Remote flexibility – work where you are most productive, meet the team quarterly.

How to apply

Attach your CV (PDF) and a brief cover letter.
In your letter, tell us — in fewer than 100 words each:

1. The fastest ML prototype you ever shipped (timeline, stack, impact).
2. How you used LoRA or a similar method to slash training cost or inference latency.
3. Your favourite RAG architecture and why you chose it.

We review applications on a rolling basis and aim to respond within ten working days.

The Role

We’re looking for an ML Engineer who’s passionate about applied research and eager to work on the frontier of AI agent development. You’ll bridge research and production — exploring, prototyping, and deploying models that push the limits of what autonomous agents can do in real-world settings.

Key Responsibilities

• Conduct applied research to evaluate, fine-tune, and adapt large language models and other AI architectures for our use cases
• Prototype experimental models and pipelines, testing novel approaches to agent orchestration, prompt design, or retrieval-augmented generation (RAG)
• Design and run experiments, analyze results, and iterate rapidly to improve agent performance
• Build robust, reproducible pipelines for data collection, preprocessing, and training
• Collaborate with backend and product engineers to operationalize research prototypes into production services

Requirements

• 2–4 years of experience in applied ML research or an industry role with a strong R&D component
• Solid foundation in machine learning fundamentals and experience working with LLMs or NLP models
• Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
• Hands-on experience designing experiments, evaluating models, and analyzing data
• Familiarity with literature reviews and an eagerness to stay up-to-date with emerging techniques

Nice to Haves

• Experience with vector databases, embeddings, or semantic search
• Familiarity with reinforcement learning from human feedback (RLHF)
• Familiarity with agent frameworks
• Contributions to open-source ML projects or published research papers

Why You Should Join

• Competitive equity & pay - get in early and own what you build.
• Work closely with experienced founders with a proven startup track record.
• Move fast, ship fast - no corporate bureaucracy.
• Shape the AI revolution in healthcare - massive market, untapped potential

We are seeking an experienced Machine Learning Solutions Architect specializing in Large Language Models (LLMs), Natural Language Processing (NLP), and AI Agents. In this role, you will be  Generative AI solutions utilizing AWS services (S3, Redshift, and Snowflake)

Key Responsibilities

• Design, fine-tune, and optimize generative AI solutions utilizing AWS services, (S3, Redshift, and Snowflake)
• Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems
• Conduct experiments, analyze results, and implement improvements to enhance model performance
• Develop efficient data processing pipelines for model training and inference
• Optimize models for production deployment with attention to scalability and performance
• Establish documentation standards and practices for models, datasets, and processes
• Drive technical standards and best practices across teams
• Spearhead complex ML initiatives from concept to production
• Collaborate with leadership to define technical vision and strategy
• Evaluate and drive adoption of emerging technologies 

Required Skills

• Proven expertise designing and optimizing large-scale LLM deployments for enterprise use
• Experience engineering AI solutions using Databricks
• Strong practical knowledge of diverse data storage systems
• Strong practical expertise with  AWS
• Deep understanding of the mathematics behind modern machine learning, linear algebra, and statistics
• Experience making architectural decisions and trade-off considerations
• Deep understanding of ML infrastructure, operations, and monitoring
• Excellent problem-solving and analytical thinking skills
• Strong communication skills with ability to explain complex technical concepts to non-technical stakeholders
• Deep understanding of LLM evaluation methodologies and benchmarking frameworks
• Experience designing complex multi-agent systems that operate autonomously
• Deep understanding of  transformer-based models and GANs. 
• Strong experience with frameworks ( PyTorch, TensorFlow,Keras)
• 5+ years of programming experience in Python and SQL
• Expertise in data preprocessing and feature engineering for AI -ML model training
• Proven knowledge of architecting  data pipelines, ML pipelines, and ML training and serving methodologies
• Familiarity with CI/CD as a part of MLOps and LLMOps, familiarity with IaC tools ( Biceps and/or Terraform)

About IX Labs

Full-Spectrum Al/ML Services and Custom Al/ML Solutions

We deliver end-to-end Al solutions that transform business challenges into competitive advantages, from custom model development to seamless integration.

— ML Model Development
— Dataset Generation & Management
— Solution Integration

Apply ML/DL to create biometric authentication solutions:
 

• computer vision-based person identification technology
• research and development work with various biometric data: face, fingerprint, iris
   

Major Requirements: 
 

• practical experience with Machine Learning and Computer Vision
• strong at Deep Learning frameworks (PyTorch, TensorFlow or Keras)
• minimum 2 years of commercial experience in machine learning
• relevant education, at least Bachelor degree
   

Optional Requirements: 
 

• experience with making publications, patents, conference talks
• participation experience in ML/DL contests (ex.: Kaggle)
• commercialization experience
• PhD in machine learning, computer science or related field
• experience with on-device Android DL frameworks (TensorFlow Lite, TorchScript)
• experience with Android native development (NDK, C/C++)
   

Working Conditions:
 

• GIG contract
• remote work is possible as well as work in Kyiv office
   

Benefits:
 

• competitive salary, annual salary review, annual bonuses
• paid 28 work days of annual vacations and sick leaves
• opportunity to become an inventor of international patents with paid bonuses
• medical & life insurance for employees and their childrens
• paid lunches
• discounts to Samsung products, services
• regular education and self-development on internal courses and seminars
• hybrid work format, working in office is required for some tasks

Product that needs your engagement

Skyvia is a versatile no-code SaaS cloud platform designed for data integration, automation, backup, management, and connectivity. It offers support for over 200+ connectors, including popular cloud applications like CRMs, marketing tools, support systems, and management solutions, as well as databases and data warehouses.

Your future team of professionals

You’ll become part of a growing, cross-functional team that is building AI-driven capabilities into the core of our platform. You’ll work closely with engineers, product managers, and designers who are passionate about delivering innovation and tangible value to users

The impact you will make:

• Deeply research and analyze AI-driven features implemented by competitors to understand the underlying architecture and approaches.
• Propose multiple implementation options for new AI features, clearly outlining trade-offs, technical implications, and cost efficiency.
• Build standalone proof-of-concepts (PoCs) to validate functionality and feasibility before full-scale development.
• Collaborate closely with the product team to ensure PoCs are aligned with user needs and product goals, maximizing their value.
• Document architectural decisions, implementation plans, and evaluation criteria to ensure transparency and traceability.
• Define or contribute to post-launch evaluation processes, helping to measure the actual impact of features and gather actionable feedback.
• Maintain continuous feedback loops between ideation, implementation, and iteration to ensure long-term value delivery.

Skills we are looking for:  

• 3+ years of experience in AI/ML engineering or data science.
• Hands-on experience with LLMs such as OpenAI GPT, LLaMA, or similar.
• Knowledge of RAG techniques, prompt engineering, and fine-tuning language models.
• Familiarity with LangChain or equivalent AI frameworks.
• Experience working with vector databases (FAISS, Qdrant, etc.).
• Proficiency in Python and SQL.
• Understanding of how to work with structured and unstructured data.
• English — Intermediate.

Soft Skills:

• Strong analytical and problem-solving mindset.
• Clear written and verbal communication.
• Ownership, autonomy, and result-driven mindset.
• Adaptability and teamwork.
• Attention to detail and critical thinking.
• Curiosity and willingness to experiment.

Additional skills we would appreciate:

• Familiarity with MCP, ETL, data warehousing, and data extraction (e.g., from web/PDF).
• Understanding of Data Warehousing and ETL.

Benefits you get:

• Maintain your work-life balance

Manage your own working hours with our flexible schedule
19 days of annual vacation granted on pro-rata basis
No overtimes required

• Hybrid type of cooperation

Whether you prefer to work remotely in the comfort of your home office or from one of our 4 offices, you can still take part in increasing world`s awareness about quality Ukrainian products from any part of the world

• Stay healthy

Medical insurance from one of the top insurance companies in Ukraine with a wide range of included services, as well as special programs for relatives; special options for those who live abroad.
15 working days of sick leave per year — because your health is a priority.

• Grow with us

In-house English courses — increase your proficiency through our online courses and speaking clubs with a native speaker
Online learning activities — workshops, lectures and webinars to enhance your leadership, management and self-awareness skills
Experience exchange — we are proud of our team of professionals who gladly share their deep expertise in all kinds of fields with the rest of the team
Promotions, rotations and transitions — when you feel like your skills could be useful in other position or team

*Please note that due to exceptional circumstances such as being under martial law, some of the mentioned benefits and provisions may be subject to temporary limitations or adjustments.

We are a perfect match if you share our values

We are professionals in our field.

We know how to turn up our professionalism to the maximum, because we are experts who enjoy solving complex tasks.

We know how to focus on the product, think big, and at the same time delve deep into the details.

We create a calm and friendly atmosphere within the company.

We value the freedom of open and transparent communications.

Radical honesty is embedded in the foundation of our culture.

We are open to new things and constantly develop and practice regular knowledge sharing, which helps us evolve continuously.

Most importantly, the company creates an environment where we can fulfill our potential upon a solid foundation.

 

Our Hiring process

• Recruiting interview
• Tech Interview
• Offer call

Senior Machine-Learning Engineer (Full-Stack AI Stack) 

Why this role matters 

The core of our product is a conversational brain that answers from a proprietary knowledge base, manipulates tables, and speaks human language in real time. We need an ML expert who has already put such brains into users’ hands—and who can also dive into data plumbing or infra scripts when necessary. 

What you’ll do 

• Finetune, distill, and evaluate LLMs for multi-turn dialogue, tool-calling, and table reasoning. 
• Implement RAG pipelines (chunking, re-ranking, citation injection) and keep latency as small as possible. 
• Build automated evaluation suites—synthetic & human loops, regression tests for bias/toxicity. 
• Pair with Data Engineers to shape ETL and with DevOps to productionise models via BentoML/KServe or similar. 
• Drive post-release optimisation: profiling GPU/CPU usage, quantisation, and batching. 

We hope you bring 

• 3+ years in ML, 2+ with large language models or transformers in production. 
• Proof you’ve shipped at least one AI assistant, chatbot, or agent system used by external clients. 
• Strong coding skills (Python, PyTorch/JAX) and working knowledge of data infra (Spark, SQL). 
• Comfort reading Kubernetes manifests or Terraform modules when something is on fire. 
Extra credit 
• Experience with spreadsheet reasoning (alpha-/beta-code interpreters, formula synthesis). 

Why Join Us?
✨ Accelerated Growth: Structured path to transition into an Architect role with mentorship.
✨ Impact: Build industry-leading SaaS products used by global clients.
✨ Flexibility: Remote/hybrid work, flexible hours, and autonomy.
✨ Perks: Competitive salary, equity, benefits, and learning stipends.

 

Description

Our client is one of the largest multichannel video service providers in the US. 

You will be involved as a research-driven contributor with end-to-end ownership — designing, training, deploying, and maintaining ML models in production.

Requirements

• 3+ years of proven expertise in Machine Learning.
• 5+ years of proven expertise in Python.
• Proven experience in providing technical leadership for at least one ML project.
• Commercial experience building ML models from scratch and releasing them to production.
• Deep understanding of model development, evaluation, tuning, and maintenance.

Job responsibilities

• Collaborate with the team to implement ML model/s and algorithms in production.
• Design, develop, and implement new machine learning models from scratch, using technologies such as Graph Neural Networks, edge-device deployment (tflite), and MLflow experiment tracking.
• Develop robust, scalable code primarily in Python to support machine learning applications.
• Deploy models into production environments and ensure their stability and scalability.
• Monitor, analyze, and evaluate model performance using relevant metrics.
• Continuously improve existing models or replace them when necessary, based on data-driven insights.

What we offer

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.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.