Jobs

Giga Cloud is a premier Ukrainian cloud provider, with a robust presence in the B2B sector, boasting over 1,500 clients, 150+ global partners, and 5 data processing centers. Since 2016, we've been pivotal in aiding companies of all sizes in digital transformation using our cutting-edge cloud technologies. Our diverse clientele ranges from major corporations and government agencies to SMEs. Renowned for our 24/7 technical support and bespoke solutions, we operate four data processing centers across Poland and Ukraine, maintaining a 99.95% SLA with financial accountability.  
 
Our Mission: We create cloud space to increase your level of Freedom! 

Join the team! 

 

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. 
• Join our experienced team that values professional development and embraces new opportunities 
• Full-time employment contract 
• Multisport (light) 
• Paid vacation, sick leave 

Hi!

We're currently looking for an experienced NLP Engineer to join our AI team at CHI Software.

We’re looking for someone who’s interested in actively contributing to the growth of the department, as well as taking part in our R&D and pre-sales activities.

Our core R&D efforts are focused on areas such as:

• Sensor fusion
• Deepfake technology
• Image generation
• 3D reconstruction

We're open to new ideas that could be explored within the R&D center, and we’d also be happy to involve you in our current projects.

Here’s a general overview of the position, which reflects the kind of projects we typically work on:

Requirements:

• 2–3 years of commercial experience in Natural Language Processing / Machine Learning;
• Proficient in Python, R, and Java, and expertise in libraries and frameworks such as TensorFlow, PyTorch, sci-kit-learn, and Keras;
• Experience with cloud platforms like AWS, Azure, and Google Cloud, and familiarity with big data technologies including Hadoop and Spark;
• Modeling and DevOps experience for Machine Learning;
• Experience with the latest LLM models currently being rolled out in consumer-facing generative AI tools.

• Upper-Intermediate level of English is mandatory;

  
  Certifications obtained (mandatory):

• Azure: AI Fundamentals AI-900 and Azure AI Engineer AI-102;
• GCP: Cloud Digital Leader, Cloud Engineer, Machine Learning Engineer;
• AWS: Cloud Practitioner CLF-C02 and Machine Learning MLS-C01.

There are options for project-based collaboration in a freelance format if you're not planning to leave your current role. We also have full-time opportunities available.

Thank you for your interest! If your profile aligns with the key requirements, we will reach out to you.

We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones.

We are currently looking for a Data Scientist for Spinlab.

Location: Remote
Job Type: Full-Time

About our client:
 

Spinlab: We help slot gaming leaders unlock the potential of their data, enhancing business outcomes and strengthening their competitive edge in the market. We collect and process data using advanced methods and technologies to provide our clients with clear, actionablerecommendations based on real metrics. SpinLab’s goal is not just to collect data but to help businesses use it for maximum efficiency and amplify their performance results.
 

Responsibilities:

• Analyze large volumes of game and player data to uncover trends, behaviors, and optimization opportunities

• Collaborate with game designers, product managers, and developers to shape hypotheses and validate them through experimentation.

• Perform deep-dive investigations into performance anomalies or game features to explain what happened and why

• Support development and testing of predictive models (e.g., player LTV, churn, bonus optimization).

• Translate complex data into understandable findings and present them to both technical and non-technical teams.

• Assist in defining metrics frameworks for new products or features

• Build dashboards and reports to help stakeholders monitor key KPIs and make data-driven decisions

Requirements:

• 3+ years of experience as a Data Scientist, preferably in the gaming or tech industry
• Proven experience in formulating and testing data-driven hypotheses
• Strong experience in SQL (BigQuery, PostgreSQL, or similar), and comfort working with large datasets.
• Solid knowledge of data visualization tools (e.g., Looker, Tableau, Power BI, or similar).
• Practical experience with Python or R for data analysis and modeling.
• Strong analytical and problem-solving mindset; ability to interpret patterns and tell a compelling story through data.
• Solid understanding of statistical methods and machine learning algorithms
• University degree in mathematics / computer science / technology / engineerin
• English B2+

Will be a plus:

• Knowledge of the iGaming industry or understanding of slot game mechanics
• Ability to look at games from players’ point of view
• Product-mindset

Benefits:Benefits:

• Interesting products and ability to shape them with your vision
• Education budget of $600 per year provided
• Professional English courses
• Medical Insurance

What’s next?

If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider.

We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.

Our mission at Geniusee is to help businesses thrive through tech partnership and strengthen the engineering community by sharing knowledge and creating opportunities 🌿Our values are Continuous Growth, Team Synergy, Taking Responsibility, Conscious Openness and Result Driven. We offer a safe, inclusive and productive environment for all team members, and we’re always open to feedback💜
If you want to work from home or work in the city center of Kyiv, great — apply right now.

Requirements:
● 5+ years of experience in software engineering, with a focus on AI/ML systems or distributed systems;
● Hands-on experience building and deploying retrieval-augmented generation (RAG) systems;
● Deep knowledge of OpenSearch, Elasticsearch, or similar search engines;
● Strong coding skills in Python;
● Experience with frameworks like LlamaIndex or LangChain;
● Familiarity with vector databases such as Pinecone, Qdrant, or FAISS;
● Exposure to LLM fine-tuning, semantic search, embeddings, and prompt engineering;
● Previous work on systems handling millions of users or queries per day;
● Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes);
● Experience with vector search, embedding pipelines, and dense retrieval techniques;
● Proven ability to optimize inference stacks for latency, reliability, and scalability;
● Excellent problem-solving, analytical, and debugging skills;
● Strong sense of ownership, ability to work independently, and a self-starter mindset in fast-paced environments;
● Passion for building impactful technology aligned with our mission;
● Bachelor’s degree in Computer Science or related field, or equivalent practical experience.

Responsibilities:
● Design, build and scale a production-grade inference stack for RAG-based applications;
● Develop efficient retrieval pipelines using OpenSearch or similar vector databases, with a focus on high recall and response relevance;
● Optimize performance and latency for both real-time and batch queries;
● Identify and address bottlenecks in the inference stack to improve response times and system efficiency;
● Ensure high reliability, observability, and monitoring of deployed systems;
● Collaborate with cross-functional teams to integrate LLMs and retrieval components into user-facing applications;
● Evaluate and integrate modern RAG frameworks and tools to accelerate development;
● Guide architectural decisions, mentor team members, and uphold engineering excellence.

What you will get.
● Competitive salary and good compensation package;
● Exciting, challenging and stable startup projects with a modern stack;
● Corporate English course;
● Ability to practice English and communication skills through permanent interaction with clients from all over the world;
● Professional study compensation, online courses and certifications;
● Career development opportunity, semi-annual and annual salary review process;
● Necessary equipment to perform work tasks;
● VIP medical insurance or sports coverage;
● Informal and friendly atmosphere;
● The ability to focus on your work: a lack of bureaucracy and micromanagement;
● Flexible working hours (start your day between 8:00 and 11:30);
● Team buildings, corporate events;
● Paid vacation (18 working days) and sick leaves;
● Cozy offices in 2 cities ( Kyiv & Lviv ) with electricity and Wi-Fi (Generator & Starlink);
● Compensation for coworking (except for employees from Kyiv and Lviv);
● Corporate lunch + soft skills clubs;
● Unlimited work from home from anywhere in the world (remote);
● Geniusee has its own charity fund.

We are seeking an experienced Machine Learning Engineer specializing in Large Language Models (LLMs), Natural Language Processing (NLP), and AI Agents. In this role, you will design, develop, and deploy cutting-edge language models and agent-based systems that drive innovation and deliver value across products and services.

Key Responsibilities

• Design, fine-tune, and optimize large language models (LLMs) for specific use cases and domains
• Lead cross-functional colalboration to integrate ML solutions into products
• 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 

Requirements

• Proven expertise optimizing large-scale LLM deployments for enterprise use
• 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

   

Nice-to-Have skills:

• Experience building and leading teams working on LLM/NLP projects
• Experience building reusable ML components and platforms
• Experience leading ML initiatives across multiple domains or product lines

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

Our mission at Geniusee is to help businesses thrive through tech partnership and strengthen the engineering community by sharing knowledge and creating opportunities 🌿Our values are Continuous Growth, Team Synergy, Taking Responsibility, Conscious Openness and Result Driven. We offer a safe, inclusive and productive environment for all team members, and we’re always open to feedback💜 If you want to work from home or work in the city center of Kyiv, great — apply right now.

Requirements.
● 4+ years of hands-on experience in computer vision, with a strong focus on embedded/edge device optimization;
● Deep knowledge of CNN-based object detection and face detection techniques;
● Expertise in model compression, quantization, and acceleration for embedded inference;
● Strong Python and C++ development skills;
● Experience with deployment tools: TensorRT, ONNX Runtime, TFLite, OpenVINO, or CoreML;
● Familiarity with embedded platforms (e.g., NVIDIA Jetson, Qualcomm Snapdragon, Raspberry Pi with Coral Edge TPU);
● Experience in profiling and optimizing models for latency, throughput, and memory efficiency.

What you will do.
● Communication: Lead as part of a scrum team focused on delivering production-ready, optimized computer vision models. Promote clear, respectful, and constructive communication;
● Collaboration: Work closely with machine learning engineers, software developers, and hardware teams to ensure seamless integration of vision models into products;
● Documentation: Maintain high standards for documenting model training processes, optimization techniques, deployment pipelines, and performance benchmarks;
● Continuous improvement: Stay updated on state-of-the-art research in embedded computer vision and edge AI, bringing new ideas and technologies into the development process;
● Planning: Actively participate in sprint planning and provide accurate estimations, particularly for model optimization and deployment tasks.

Model Development and Optimization:
● Design and optimize CNN-based object detection and face detection models;
● Implement advanced model optimization techniques, including pruning, quantization, and knowledge distillation;
● Develop models with a focus on efficient deployment on embedded or edge devices.

 Embedded Deployment:
● Use tools like TensorRT, ONNX Runtime, TFLite, OpenVINO, or CoreML for deployment;
● Work with embedded hardware platforms such as NVIDIA Jetson, Qualcomm Snapdragon,
and Raspberry Pi with Coral Edge TPU.

Performance Profiling:
● Profile models for latency, throughput, and memory efficiency;
● Optimize the inference performance to meet strict resource and timing constraints on target devices.

Development Skills:
● Develop and maintain codebases in Python and C++ to support model integration and deployment pipelines.

What you will get.
● Competitive salary and good compensation package;
● Exciting, challenging and stable startup projects with a modern stack;
● Corporate English course;
● Ability to practice English and communication skills through permanent interaction with clients from all over the world;
● Professional study compensation, online courses and certifications;
● Career development opportunity, semi-annual and annual salary review process;
● Necessary equipment to perform work tasks;
● VIP medical insurance or sports coverage;
● Informal and friendly atmosphere;
● The ability to focus on your work: a lack of bureaucracy and micromanagement;
● Flexible working hours (start your day between 8:00 and 11:30);
● Team buildings, corporate events;
● Paid vacation (18 working days) and sick leaves;
● Cozy offices in 2 cities ( Kyiv & Lviv ) with electricity and Wi-Fi (Generator & Starlink);
● Compensation for coworking (except for employees from Kyiv and Lviv);
● Corporate lunch + soft skills clubs;
●Unlimited work from home from anywhere in the world (remote);
● Geniusee has its own charity fund.

About the client:

Since 2002, the client has been a market leader in automotive claims management, processing over 18 million vehicle claims annually with a global team of more than 1,000 employees. Operating in over 30 countries, the company specializes in digital solutions that optimize vehicle damage processing for insurance companies, car dealerships, repair shops, leasing firms, and automotive manufacturers. By leveraging automation, advanced technologies, and industry expertise, the client continuously enhances efficiency and accuracy in claims handling. An in-house research and development team drives innovation, tailoring solutions to local market needs while advancing digital transformation in the industry. 

Your Role:

As a Senior DS/AI Engineer, you will play a key role in shaping the future of digital automotive claims management by developing advanced AI and machine learning models. Working within a diverse and collaborative team of 30 data scientists, you will explore innovative research approaches and build intelligent systems that enhance the accuracy and efficiency of insurance-related processes. You will leverage state-of-the-art techniques in computer vision, large language models (LLMs), and multimodal AI to create impactful solutions tailored to the specific needs of the insurance and automotive industries.
Your responsibilities will include developing foundation models and intelligent systems that are capable of processing complex data inputs, improving claim automation, and supporting digital transformation. This is an opportunity to apply your deep technical expertise in a forward-thinking, international environment where data-driven innovation meets real-world impact.

Key Responsibilities:

• Collaborate within a cross-functional team of 30+ data scientists and AI/ML experts to drive research and innovation in the image processing & recognition field
• Develop and deploy cutting-edge machine learning and AI models, including computer vision, LLMs, and multimodal solutions.
• Design and train proprietary foundation models tailored to automotive and insurance industry needs.
• Translate complex technical concepts into scalable digital solutions that enhance claims processing efficiency.
• Continuously evaluate and integrate emerging AI technologies to ensure high performance and accuracy.
• Contribute to the company’s R&D efforts to advance AI innovation and digital transformation.
  
   

Requirements: 

• Qualifications: Degree in mathematics, computer science, data science, engineering, physics, or a related field.
• 5+ years in data science with proven experience in ML, DL, and data analysis using Python and PyTorch.
• Proficient in applying data science methods, building predictive models, and deploying AI solutions.
• Strong analytical mindset, proactive attitude, and ability to communicate complex topics clearly to both technical and non-technical stakeholders.
• Experience within the insurance or automotive industries.
• Excellent English communication skills (written and verbal); German is a plus.

It’s an amazing time to join Digicode as we continue empowering as many innovators as possible to change the world. We deliver outstanding technology consulting, R&D, design, and software development services in the USA, UK, and EU markets. This is where you come in!

We’re looking for a skilled ML/AI Expert with a strong background in .Net to join a legal tech project focused on streamlining legal workflows using cutting-edge technologies. You’ll be working with modern backend architecture and deploying AI-powered tools that support attorneys in case management and decision-making.

Requirements:

• 2+ years of experience in .NET (C#, .NET 9, ASP.NET Core, API development)
• 3+ years with AI/ML in production environments
• Experience with LLMs, prompt engineering, NLP, and document processing
• Familiar with ML-Ops workflows and tools
• Knowledge of machine learning frameworks (TensorFlow, PyTorch, ML.NET)
• Strong understanding of software architecture patterns

Nice to have:

• Azure (ML, OpenAI, Cognitive Services)
• CI/CD for ML, Docker, Kubernetes, IaC
• Legal domain experience (document structures, compliance standards like GDPR/HIPAA)

Soft Skills:

• Analytical mindset, detail-oriented, and eager to stay current with AI trends

Process:

• Intro call with a recruiter.
• Internal technical interview.
• Tech interview with client.

What To Expect From Digicode?

🌎 Work from Anywhere: From an office, home, or travel continuously if that’s your thing. Everything we do is online. You’re all set as long as you’re in the same time zone as your project colleagues.

💼 Professional Development: We offer great career development opportunities in a growing company, international work environment, paid language classes, conference and education budget, & internal 42 Community training.

󰩔 Work-life Balance: We provide employees with 18+ paid vacation days and paid sick leave, a flexible schedule, medical insurance for employees and their children, and a monthly budget for things like a gym or pool membership.

🙌 Culture of Openness: We’re committed to fostering a community where everyone feels welcome, seen, and heard, with minimal bureaucracy, and flat organization structure.
And, also, corporate gifts, corporate celebrations, free food & snacks, and play & relax rooms for those who visit the office.

Our culture is unique, and we live by our beliefs and core values. For more information on what it’s like to work at Digicode, please take a look at our career page.
Did we attract your attention? Send your CV and let’s talk:)

We are seeking a talented and motivated AI/ML Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying cutting-edge AI and machine learning solutions to solve complex business challenges. This role offers an exciting opportunity to work on diverse projects and collaborate with a team of skilled professionals in a fast-paced and dynamic environment.

Responsibilities:

• Develop and implement machine learning algorithms and models to solve business problems and optimize processes.
• Collect, preprocess, and analyze large datasets to extract meaningful insights and drive informed decision-making.
• Design and develop scalable and efficient AI/ML solutions that can be deployed in production environments.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Stay up-to-date with the latest advancements in AI/ML technologies and techniques and evaluate their potential applications in our projects.
• Conduct experiments and perform rigorous testing to validate the performance and accuracy of developed models.
• Optimize and fine-tune machine learning models for improved performance, scalability, and reliability.
• Document code, algorithms, and processes to ensure reproducibility and maintainability of developed solutions.
  
  Requirements:
• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
• Proven experience in developing and deploying machine learning models and algorithms in real-world applications.
• Proficiency in programming languages such as Python, Java, or C++, and experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with RESTful APIs, GraphQL, and integrating third-party services.
• Proficient in Django ORM, Django REST framework, and understanding of Django's class-based views.
• Strong understanding of machine learning concepts and techniques, including supervised learning, unsupervised learning, and deep learning.
• Experience with data preprocessing, feature engineering, and model evaluation/validation techniques.
• Familiarity with cloud platforms such as AWS, Azure for building and deploying AI/ML solutions is a plus.
• Excellent problem-solving skills and ability to work independently as well as collaboratively in a team environment.
   

Join us in shaping the future of AI and machine learning! If you are passionate about innovation and eager to make an impact, we want to hear from you. Apply now to join our dynamic team!
 

About NorthSouth Tech

NorthSouth Tech - software engineering company with a headquarter in the US. We are helping businesses in Sales and Marketing, Mining, Finance, Health Care to grow their digital products. 

About project

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.

Description

Our customer is a global leader in digital media and entertainment services across film, video and online content from capture to consumption.

Since 1915, our customer has been the trusted partner for the world’s most successful Hollywood studios, independent film companies, TV networks, exhibitors, advertisers and others, offering best-in-class solutions in production, post production, distribution, asset and workflow management and new digital solution-based technologies.

This position is ideal for individuals who have the drive and desire to ‘make things’. It requires a highly motivated individual with attention to details and a hunger to learn and solve problems.

Requirements

Shifted working hours – Readiness to work till 12 AM Kyiv time

Required Experience

• 5+ years of experience working on machine learning applications and deploying AI/ML models into production environments;
• Proficiency in Python and experience in machine learning frameworks, (i.e. PyTorch, Tensorflow);
• Strong understanding of AI/ML concepts, algorithms, and technologies.
• Experience building and automating scalable machine learning pipelines in cloud ecosystems (Azure, AWS, GCP);
• Familiarity with cloud tools like S3, EC2, SageMaker, and Lambda;
• Expertise in neural networks, computer vision, NLP, and/or reinforcement learning;
• Advanced knowledge of Machine Learning models and LLM.

Preferred Experience

• Experience with any of the following: NVIDIA Enterprise AI Solutions, AWS Sagemaker, AWS Bedrock, AWS Clean Rooms, Data Lakes
• Experience with building and fine tuning various image, text, audio, and video classification models, such as shot/scene detection, captions, object labeling, attention scoring, etc.
• Experience with Media and Entertainment industry file formats and applications (IMF, Protools, MXF, 3D, etc)

Job responsibilities

An engineer in this position will design, develop, and architect services for the platform, in addition to:

• Contributing to cutting-edge R&D initiatives including service integration with emerging
  frameworks and platforms.
• Assisting with technical resolution of issues on mission critical production systems (you build it, you own it, you run it.)
• Thinking out of the box to come up with solutions that scale, are fault-tolerant, easy to grasp and elegant.

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!

LITSLINK is a US-based software development company with offices in Palo Alto, CA and Kyiv, Ukraine, that specializes in mobile and web development, artificial intelligence, machine learning, SaaS development, AR & VR, product design, and cloud services.We provide the turn-key IT solutions including marketing, business analysis, product development and web promotion for startups, small, and medium-sized businesses.At LITSLINK, we carefully analyse market to clarify consumer needs, observe competitors'​ marketing strategies, discover insights turning the information obtained into product features and promotion opportunities.To create websites and mobile apps that meet your specific needs and requirements, our team of skilled web developers and designers combines the latest technologies with extensive hands-on experience.

LITSLINK is looking for a talented Machine Learning Engineer to enforce our team of 19 enthusiastic Machine Learning specialists.

About you:

— 2-4 years of experience with NLP is a must;

— Experience with generative AI: LLMs (OpenAI + custom fine-tuning, Langchain, etc)

— 2-4 years of programming experience with the following languages/frameworks: Python; Pytorch /Tensorflow /Keras/ OpenCV;

— Familiarity with architectures for classification tasks: CNN, Faster R-CNN, ResNet; detections: YOLO, HOG; segmentation: U-Net, DeepLab, PSPNet;

— Solid practical and theoretical knowledge of Statistics, Machine Learning, and Deep Learning;

English skills enough to:

— Read/write/discuss technical requirements on tasks;

— Provide/take technical reviews on the code;

— Clearly describe your experience and technical decisions based on it;

— Support small talks and non-technical discussions.

What you will do:

— Responsible for the full cycle of NLP model development;

— Building the ML-based solution;

— Create production-ready solutions, launch MVPs, and help DevOps Team to deploy them;

— Work with NLP algorithms and data structures.

What we offer:

— Remote-first culture;

— Flexible working schedule. ( It can be Full-Time or Part-Time );

— Strong technical support of the company’s Engineering Managers and implementation team (UX/UI Designers/Developers/BA/QA);

— Competitive remuneration ( gross system ).

What happens after you apply:

— We review your application and contact you to set up a quick call with one of our recruiters;

— Online interview ( Technical );

— Interview with the Manager;

— Proposal for cooperation.

Headway Inc is a global tech company, revolutionizing lifelong learning by creating digital products for over 150 million users worldwide. Our mission is to help people grow. We’re proud to be ranked 4th among the World’s Top EdTech Сompanies by TIME magazine. We believe lifelong learning should be accessible, personalized, and impactful to each individual. That’s how we change the world and why we bring together exceptional minds.

The core of our achievements is our team. We believe in people and shared values SELECT. That’s why, together with Maksym Shykov, Engineering Manager at Headway by Headway Inc, we’re looking for a ML Engineer who is passionate about answering complex questions and transforming the EdTech landscape with us.
 

What product will you be working on?

Headway is our flagship app, offering summaries of nonfiction bestsellers, daily insights, and gamified challenges. Headway is the world’s most downloaded book summary app and has been featured as App of the Day in over 30 countries, including the US, the UK, and Canada.

Tech stack: Python (scikit-learn, pandas, numpy), ML frameworks (TensorFlow, PyTorch, Transformers), ML system design, SQL/NoSQL (BigQuery, Firestore), LLM tools (agents, RAG, OpenAI API, LangChain), embeddings, vector databases, GCP, Terraform, Docker, Linux, Git (GitLab), and recommendation systems.
 

This job is perfect for you if you want to:

• Invest in cutting-edge AI and ML technologies: Work with the latest solutions and develop your skills in an innovative environment, as Headway is a large product with the resources to invest in advanced AI and ML.
• Make a rapid product impact: See the results of your work in the short term, allowing you to quickly observe the value and effectiveness of implemented initiatives.
• Achieve significant impact on product metrics: Develop solutions that improve various areas and boost user engagement, directly affecting key product metrics.
• Access product analytics: Gain a deeper understanding of user behavior and test your solutions based on real data and analytics.
• Work on a cool educational content product: Contribute to a project that helps people grow and acquire knowledge.
• Influence team processes: Improve team processes by bringing your own approach to working with AI-based projects.
• Propose your own ideas freely: Initiate and be creative in developing new AI initiatives that can enhance product efficiency and satisfy user needs.
• Thrive in an experimentation culture: Implement ideas through A/B testing, continuously improving the product by analyzing real results.
   

What you will do:

• Uncover new opportunities for the creation, implementation, and launch of AI-based initiatives that support Engagement, Growth, and other strategic company directions and goals.
• Develop and improve the existing ML-based recommendation system.
• Work on research and innovative projects.
   

What you need to join us:

• At least 4 years of experience in machine learning or related engineering roles.
• High proficiency in Python.
• Deep understanding of machine learning algorithms and their mathematical foundations.
• Experience with scientific Python tools (scikit-learn/pandas/numpy).
• Experience with ML frameworks (Tensorflow/Torch, transformers).
• Ability to conduct in-depth research, including reviewing academic literature and exploring open-source ML projects.
• Experience with Git, Docker, Linux.
• Alignment with our team's values (SELECT).
   

A plus if you have:

• Experience with recommendation systems.
• Experience in software engineering.
• Understanding of software architecture, ML system design principles, and the full development lifecycle.
• Experience with SQL/NoSQL (BigQuery, Firestore).
• Experience with LLMs (agents, RAG, OpenAI API, LangChain).
• Experience with embeddings and vector databases.
• Experience with cloud services (Google Cloud Platform).

• Understanding of CI/CD principles and experience with Terraform.

  
  Hiring process

• Screening call with a Talent Acquisition specialist.
• Take-home task.
• Technical interview.
• Soft skills interview with the Hiring Manager.

• Final interview with C-level.

  
   

What do we offer:

• Work within an ambitious team on a socially impactful education product.
• An office with a reliable shelter, generators, satellite internet, and other amenities.
• Access to our corporate knowledge base and professional communities.
• Personal development plan.
• Compensation for English language learning, external training, and courses.
• Medical insurance and full sick leave compensation.
• Company doctor and massage in the office.
• Sports activities: running, yoga, boxing, and more.
• Corporate holidays: we go on a week-paid holiday to rest and recharge twice a year.
• Supporting initiatives that help Ukraine. Find out more about our projects here.
   

Working schedule

This is a full-time position with a hybrid remote option. It means that you can decide for yourself: whether you want to work from the office, remotely, or combine these options.

Are you interested?
Send your CV!

We are helping to find an AI Automation Engineer for our client (startup — A performance marketing and traffic arbitrage team focused on scaling marketing campaigns using AI automation)
 

Location: Remote Ukraine, Hybrid (Warsaw) | Full-time

Key Responsibilities
 

• Develop AI agents to automate tasks with browsers, Jira, Slack, and SaaS platforms.
• Automate campaign launch and management via advertising APIs (Google Ads, Meta).
• Integrate LLM models (GPT, Gemini, Llama) for instruction processing and task execution.
• Automate data processing for marketing analytics and predictive modeling.
• Optimize marketing workflows using AI and machine learning.
   

Key Technical Skills and Experience
 

• 3+ years in AI/ML, automation, or API integration.
• Strong Python (FastAPI, Flask, Pandas), SQL, API experience.
• Hands-on experience with LLMs (OpenAI API, Gemini, Llama), NLP, LangChain.
• Automation of browser workflows (Selenium, Playwright, Puppeteer, GPT Operator).
• Experience integrating advertising APIs (Google Ads, Facebook Ads).
• Marketing data analysis expertise.
• Experience with Docker, Kubernetes, CI/CD.
   

Preferred Qualifications
 

• Experience in traffic arbitrage or marketing agencies.
• RPA knowledge.
• AI-driven marketing strategy development.