Mid-Level Big Data Engineer

N-iX is in search of an innovative Lead AI/ML Engineer to spearhead the development of cutting-edge data and AI pipelines. In this pivotal role, you will be tasked with designing, developing, and optimizing robust data workflows, encompassing Spark-based and RAG-style solutions. Your expertise will ensure the performance, scalability, and reliability of our AI systems.As the Lead Engineer, you will engage in technical discovery and solution assessment, guiding clients in understanding their current AI infrastructures—specifically a RAG-based solution for document analysis. You will evaluate scalability, quality, cost, and risks while providing recommendations for future architectural advancements.

N-iX seeks a Lead AI/ML Engineer based in Ukraine to shape and advance the company’s AI initiatives. This position focuses on designing, evaluating, and refining advanced AI systems, with particular attention to Retrieval-Augmented Generation (RAG) and Natural Language Processing (NLP) solutions. The role also involves working closely with clients to guide technical decisions and develop strategies for integrating AI into business processes. Collaboration with stakeholders is central to this position. Delivering AI solutions that improve operations, streamline workflows, and maximize data value is a core part of the job. Throughout each project, scalability, quality, and cost-effectiveness are key priorities. Main Responsibilities Design and develop AI-driven systems using Palantir Foundry AIP, including RAG pipelines, large language model (LLM) applications, and NLP workflows for document understanding and knowledge extraction. Oversee the full lifecycle of AI solutions, from data ingestion and embedding generation to retrieval, reasoning, and response generation. Work with AI/ML engineers to deploy models and LLM-based solutions, ensuring reliability, scalability, and high performance. Lead technical discovery, evaluate potential AI solutions, clarify architecture, and identify risks or improvement areas. Analyze and enhance RAG pipelines, focusing on retrieval quality, chunking strategies, embeddings, and hybrid search methods. Assess AI systems for scalability, multilingual capabilities, and the balance between cost and performance. Advise on AI architecture evolution, including platform selection, vendor dependencies, and migration planning. Establish standards for LLMOps and MLOps, covering evaluation, prompt engineering, monitoring, and iterative updates. Promote ethical AI practices, emphasizing data governance, security, and compliance. Mentor engineers and foster collaboration among AI, data, and product teams.

SKELAR is a venture builder that creates international tech companies adhering to the principles of the venture investment landscape. We collaborate with co-founders to assemble strong teams and launch product-oriented IT businesses that can compete on global markets.We are currently expanding our team and seeking a Lead AI/ML Engineer to spearhead the development of our flagship product - a personalized AI Stylist.Dressly, which began operations in 2024, has quadrupled its growth in just the past six months. By 2026, we aim to achieve quintuple growth compared to 2025. Our user base is steadily increasing, and they are already fans of our AI features: Virtual Try-On, Color, Body, and Outfit Analysis. Therefore, we are building internal expertise at Dressly and are in search of a Lead AI/ML Engineer to lead the development of our key product - a personalized AI Stylist.Why join us now? This is your chance to become an architect of AI strategy at an early stage, build your own team from the ground up, and create a product that will transform the fashion experience for millions of users.Technology Stack: We are looking for a leader who will take responsibility for the final selection of tools and architectural patterns. Currently, we are focusing on the following stack, but you will need to choose and implement many components or their equivalents independently:Languages and Frameworks: Python (PyTorch / TensorFlow / JAX)GenAI & LLM: LangChain / LlamaIndex, Vector Databases (Pinecone, Milvus or equivalents)Infrastructure & MLOps: GCP (Vertex AI, GKE), Docker, Kubernetes, MLFlow or other tools for orchestration and monitoring of modelsData: PostgreSQL, BigQuery, ETL process toolsWhat matters to us:You have 5+ years of experience in ML/AI and a successful background in building systems from scratch (from R&D to Production).A deep understanding of the GenAI ecosystem: knowledge of LLM architectures, fine-tuning methods, and RAG (Retrieval-Augmented Generation).Expertise in Computer Vision and RecSys: experience with generative image models (VTON) and building personalized recommendation systems.An engineering mindset: you understand the mathematics 'under the hood' and can build stable data pipelines and ML services.Pragmatism and business focus: you can align technical solutions with business goals.

Role overview nix seeks a Senior AI/ML Engineer to lead the design and scaling of AI solutions within the Palantir Foundry and AIP ecosystem. This position is available for candidates based in Europe or Ukraine. What you will do Design and build AI systems ready for production, tailored to enterprise needs Create applications that use large language models (LLMs) and retrieval-augmented generation (RAG) pipelines Develop and maintain machine learning models with a focus on reliability and scalability Work closely with cross-functional teams to guide architecture and implementation decisions Contribute to the company’s AI capabilities through practical engineering and thoughtful design Key technologies Palantir Foundry AIP ecosystem Large language models (LLMs) Retrieval-augmented generation (RAG) pipelines General machine learning frameworks Location Candidates must be based in Europe or Ukraine for this role.

Location: Remote within EMEA time zones (including Ukraine) Start date: ASAP Languages: Fluent English required Industry: Cloud Computing, AI, European Deep-Tech SaaS Role Overview Pragmatike is hiring an ML Ops Engineer to help build the backbone of a distributed cloud infrastructure startup. This well-funded company focuses on AI-native cloud services, offering GPU-powered compute for machine learning workloads, secure storage, and high-speed data transfer. The platform relies on a decentralized architecture designed to reduce environmental impact compared to traditional cloud providers. This position centers on designing and operating scalable ML inference platforms for real-time AI applications. The role involves close collaboration with infrastructure, platform, and applied AI teams to deliver high availability, low latency, and cost-efficient model serving. A production mindset and hands-on experience with distributed GPU systems are essential. What You Will Do Build and maintain production-ready model serving infrastructure using frameworks such as vLLM, TGI, Triton, or similar tools. Design and implement deployment pipelines with blue/green and canary rollout strategies for machine learning models. Develop and support auto-scaling systems, multi-model serving solutions, and smart request routing layers. Optimize GPU utilization, memory usage, network throughput, and model artifact storage performance. Set up observability systems to monitor inference latency, throughput, GPU consumption, cost, and system health. Manage model registries and CI/CD pipelines to automate and standardize model deployments. Oversee the full ML systems lifecycle, from development through production operations, including on-call support. Shape engineering best practices and contribute to platform scalability as the company grows. Requirements Proven experience in ML Ops and production model serving. Hands-on background with GPU systems and distributed computing frameworks. Skilled in deployment strategies and CI/CD pipeline management. Strong problem-solving abilities, especially in performance tuning and optimization. Comfort working collaboratively in a team-oriented, fast-moving setting.

Skelar is a venture builder focused on creating innovative tech companies that operate under the principles of venture capital. We collaborate with co-founders to assemble strong teams and launch product-driven IT businesses that excel in global markets.We are currently expanding our team and seeking a Senior AI/ML Engineer to play a pivotal role in developing our flagship product—an AI Stylist that offers personalized styling solutions. This is an opportunity for you to eventually lead our AI initiatives.Dressly launched in 2024 and has quadrupled its growth in the last six months. We anticipate a fivefold increase in growth by 2026 compared to 2025. With a steady influx of users who love our AI features, including Virtual Try-On, Color, Body, and Outfit Analysis, we are building internal AI expertise. We need a Senior AI/ML Engineer to architect our models today and lead our AI team in the future.Why join us now?This is your chance to join a product at a crucial growth stage, influence technical decisions from day one, and pave your way to becoming a Lead AI/ML Engineer as we build our team from the ground up.Technology StackWe are looking for an engineer with a solid technical foundation who is ready to take responsibility for tool and architectural pattern selection. Our current focus includes the following technologies, but you will have the autonomy to choose and implement many components:Languages and Frameworks: Python (PyTorch / TensorFlow / JAX)GenAI & LLM: LangChain / LlamaIndex, Vector Databases (Pinecone, Milvus or similar)Infrastructure & MLOps: GCP (Vertex AI, GKE), Docker, Kubernetes, MLFlow or other orchestration and monitoring toolsData: PostgreSQL, BigQuery, ETL process toolsWhat Matters to UsYou have 7+ years of experience in ML/AI with a proven track record of deploying models in production.You understand the GenAI ecosystem: not just API usage but knowledge of LLM architectures, fine-tuning methods, and Retrieval-Augmented Generation (RAG)....

Join our dynamic team as an ITSM Solution Architect at Kyivstar, where you will leverage your extensive hands-on expertise in configuring and developing on Ivanti ITSM platforms.In this pivotal role, you will not only provide architectural vision but also actively implement enterprise-level ITSM solutions. Your responsibilities will include designing robust ITSM architectures, overseeing delivery processes, and contributing to intricate configurations, integrations, and workflow enhancements.

TENTENS Tech is a dynamic IT partner of SKELAR, a Ukrainian venture builder dedicated to creating international tech businesses.We specialize in developing social discovery platforms for over 20 million users globally. Our momentum and scale are driven by deep expertise in analytics, high-load systems, and performance marketing.Currently, our team at TENTENS Tech consists of more than 250 talented individuals, each operating as a CEO in their role and contributing to the collective success. We embrace a 10/10ths work style: focusing on our goals, asking the right questions along the way, and never settling for 'good'—always striving for excellence and beyond. If this resonates with you and you're ready to accelerate with us, let's connect!We are seeking a Senior/Lead Data Engineer to spearhead the development of a high-load Data Platform that processes over 2500 data streams and up to 9 PB of data monthly.In this role, you will be the technical driving force of the direction and will build a platform that provides teams with scalable, reliable, and user-friendly access to data.

Join Simulmedia as a Lead AI Engineer and play a pivotal role in shaping the future of our Agentic Products & Platform. You will lead a team of talented engineers to design, develop, and implement advanced AI solutions that enhance our product offerings and drive innovation. Your expertise will be critical in solving complex problems and delivering exceptional results.

We are seeking an innovative and strategic Head of AI for Business Solutions to lead our AI initiatives and drive transformation across our business landscape. In this pivotal role, you will be responsible for creating and implementing AI strategies that enhance operational efficiency and deliver exceptional value to our clients.Your expertise will guide cross-functional teams in developing AI-driven solutions that meet evolving market demands. The ideal candidate will possess both technical knowledge and business acumen, enabling them to bridge the gap between AI technology and business objectives.

SKELAR is a pioneering venture builder in Ukraine, focused on developing international tech businesses. Together with our co-founders, we assemble strong teams to conquer global markets.Currently, SKELAR boasts a diverse portfolio of businesses spanning various niches, from EdTech to SaaS. Our companies have received accolades from Product Hunt, ranked among the top startups and product companies in Ukraine, and achieved high ratings in the AppStore, creating platforms utilized by millions. Our ventures are frequently featured in prominent media outlets such as TechCrunch and Wired.We take pride in our robust team of over 1,000 specialists who possess exceptional expertise and ambitious goals. Our people are our most valuable asset, and we strive to build businesses with the best talents in the market.We are currently scaling our Payments Team, which provides comprehensive processing for 12 portfolio businesses. We are seeking our first Data Analyst to take full responsibility for constructing the analytical infrastructure and supporting data-driven decision-making in payments.This position is ideal for a specialist ready to design architecture from scratch, implement reporting standards, and directly impact the effectiveness of payment funnels across all holding projects.Key Responsibilities:Building Analytical Infrastructure: Transitioning from fragmented calculations to a cohesive automated system for data collection, processing, and visualization.Payment Conversion Analysis: Regularly identifying growth opportunities to enhance Approval Rates and optimize Transaction Costs.Data Management: Gathering and structuring data from external providers (via API) and working with internal databases (BigQuery, MySQL).Automation and Monitoring: Implementing a monitoring system to control payment metrics and ensure compliance with Visa/MasterCard limits.Visualization: Creating public dashboards in Tableau for top management and CEOs of portfolio companies.

Join Kyivstar as a Sales Manager for Big Data Solutions! In this role, you will be responsible for identifying and engaging potential clients, presenting innovative big data solutions, and driving sales strategies to achieve revenue targets. Your expertise will help businesses harness the power of data to make informed decisions and improve their operations.

N-iX brings together over 2,400 technology professionals across more than 40 countries. Since 2002, the company has delivered solutions in cloud computing, data analytics, AI, embedded software, and IoT for a range of clients, including industry leaders and Fortune 500 companies. This role supports a client operating Europe's largest online car marketplace, which serves over 30 million users each month in 18 countries. The client is developing a new Agentic Software Delivery platform to automate engineering tasks at scale. The initial priority is automating the software development life cycle (SDLC), aiming for 10–20% of JIRA stories to move through the autonomous delivery system within a year. Future plans include expanding the platform's capabilities. Role overview N-iX is looking for a Lead or Senior Full-Stack Software Engineer with a strong background in AI. The position calls for someone proactive and self-motivated, who can navigate ambiguity and take initiative without waiting for detailed instructions. Ownership and independent progress are key traits for success in this role. What you will do Design and build features for the Agentic Software Delivery platform, focusing on AI-powered automation. Work with internal delivery teams (about 10% of your time) to understand their workflows, identify pain points in the SDLC, and share feedback to improve the platform. This includes technical discovery and direct developer conversations. Support the rollout of the platform by mentoring others and helping teams adopt and use the new tools effectively. Who succeeds here Engineers who are comfortable with minimal direction and enjoy shaping projects in evolving environments. Those who bring technical curiosity, strong communication skills, and a willingness to learn from peers. Location This position is open to candidates based in Europe or Ukraine.

Join our innovative team at Sigma Software Group as an AI Solution Architect. In this pivotal role, you will design and implement advanced AI solutions that drive efficiency and enhance decision-making processes within various industries. Your expertise will be crucial in translating complex business requirements into scalable AI architectures.We are looking for a visionary architect who can leverage their deep understanding of AI technologies to lead projects from conception through deployment. Collaborate with cross-functional teams to deliver state-of-the-art solutions that meet our clients' evolving needs.

Join our team at Progressoft as a Senior AI Engineer, where your passion for transforming data into intelligent, production-ready solutions will thrive. In this remote role, you will engage with the entire AI stack, from classical machine-learning models to cutting-edge large language models (LLMs), computer vision pipelines, and analytics/forecasting workflows. If you are enthusiastic about data exploration, model development, and delivering reliable AI services, we are eager to connect with you.Key ResponsibilitiesModel Development: Design, train, fine-tune, and assess models across various methodologies including classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion).Data Exploration & Analytics: Perform exploratory data analysis, statistical testing, and forecasting to guide feature development and business KPIs.End-to-End Pipelines: Create reproducible workflows for data ingestion, feature engineering, training, CI/CD, and automated monitoring.LLM & Agentic AI Engineering: Develop prompts and retrieval-augmented generation (RAG) pipelines; fine-tune LLMs on specialized datasets to enhance accuracy and meet product specifications.AI Automation & Integration: Deploy AI components as micro-services; integrate with orchestration tools (Airflow, Prefect) and business APIs to streamline decision-making processes.Continuous Learning: Stay updated on advancements in LLMs, vision, and analytics; share knowledge and best practices with the engineering team.Mentorship: Provide guidance to junior engineers and contribute to shaping technical direction and engineering excellence.

Quantum Systems is at the forefront of developing next-generation unmanned solutions that operate across air, land, and sea. Our innovative systems, which range from advanced aerial drones to underwater and ground platforms, integrate state-of-the-art hardware with AI-powered software to provide seamless control and real-time data insights. We are proud to be a trusted partner for defense, security, and public sector clients globally, continuously pushing the boundaries of mission versatility and performance.Since establishing our local office in Ukraine in 2022, we have been a strong supporter of the country’s progress and innovation.The position is located in Kyiv, and we expect you to be present full-time in the office.Your Daily Responsibilities:Lead a team of Machine Learning Engineers.Design, develop, and enhance real-time object detection and tracking models for aerial video captured by UAVs (using EO/IR cameras).Implement optimized inference pipelines tailored for edge hardware (e.g., NVIDIA Jetson, Orin).Conduct model training, testing, benchmarking, and validation in real flight environments.Integrate AI models into onboard systems.Collaborate with software and hardware teams to ensure robust end-to-end performance.Research and apply cutting-edge deep learning techniques in computer vision.

Join ELEKS as a Lead Solution Architect and make a meaningful impact in the energy sector! We are seeking a skilled professional based in Ukraine, Poland, Croatia, or the United Kingdom, who is passionate about renewable energy solutions. ABOUT THE CLIENTOur client is a global frontrunner in renewable power generation, sustainable biomass production, and innovative carbon capture technologies. They are at the forefront of the energy transition, driving remarkable advancements in sustainable practices. By being part of this project with ELEKS, you will engage in transformative initiatives that influence the future of energy—from large-scale bioenergy systems to state-of-the-art carbon capture technologies. This role offers the chance to contribute to a business that harmonizes economic growth, technological innovation, and environmental stewardship, delivering significant global impacts.

nix is seeking a Mid-Level Machine Learning and AI Engineer located in Ukraine. This position focuses on building and refining AI solutions using Palantir Foundry and AIP platforms. Role overview The engineer will develop machine learning models and large language model (LLM) solutions, integrating them into Foundry workflows. The main aim is to enhance analytics, automation, and decision-making. Regular collaboration with data engineers, business analysts, and subject matter experts ensures that AI solutions are both production-ready and effective. What you will do Design and improve machine learning and AI models for predictive analytics, classification, forecasting, and workflow automation. Build AI and ML solutions with Palantir Foundry, Python, and existing Foundry pipelines, including Ontology objects and workflows. Apply LLMs and NLP techniques such as prompt engineering, fine-tuning, embeddings, and retrieval-augmented workflows using Palantir AIP for enterprise needs. Work closely with data engineers to understand data sources, check data quality, and prepare datasets for model training and inference. Run experiments to evaluate model performance, iterating on features and methods as needed. Integrate AI models into Foundry workflows to deliver insights and support business goals. Assist with model deployment and monitoring, following team standards and best practices. Collaborate with business and domain stakeholders to turn requirements into practical AI solutions. Document model behaviors, assumptions, and limitations to maintain transparency and compliance. Stay informed about trends in applied and generative AI, sharing knowledge and learning from senior colleagues.

Join Our Vision of AI Companionship EverAI — Shaping the Future of AI CompanionshipRecognized as one of the Top 15 Largest & Fastest-Growing AI Companies GloballyWith 40 Million Users in Just 2 Years — Help Us Achieve 100M, Then 500M!At EverAI, we are redefining the way humans connect with AI. With an expanding user base of 40 million, we are not just creating products; we are pioneering entirely new categories.Our flagship offering, the world’s largest AI girlfriend/boyfriend platform, is transforming relationships for millions. This platform is supported by our innovative moderation system, EverGuard — an internal AI designed to ensure that all our creations are safe, ethical, and human-centric.And this is just the beginning!Meet Our Dynamic TeamWe are a dedicated and passionate team of 75 individuals. Our founders possess extensive entrepreneurial expertise in building and scaling web products from inception to IPO.The OpportunityWe are not just creating a product; we are constructing a large-scale conversational ecosystem. Join us in our journey!