Role overview Svitla Systems Inc. is looking for an MLOps Engineer for a full-time position (40 hours per week) in Ukraine. Our client is a large American technology company that develops hardware, software, and AI-powered solutions for enterprise environments, helping organizations track assets, inventory, workers, and operational processes in real time across industries such as retail, logistics, warehousing, manufacturing, transportation, and healthcare.
You’ll join a global innovation team of engineers and researchers providing AI innovation and acceleration for the business units. The team works on Computer Vision and GenAI solutions with a strong emphasis on device inference: researchers create and fine-tune models and pass them to the engineering team to optimize, quantize, and convert. The team then builds an application solution together with the customers to demonstrate value. Requirements * Advanced understanding of Python development. * Working experience with PyTorch and/or TensorFlow. * Expertise in creating maintainable, well-tested code with proper error handling. * Solid understanding of creating RESTful services and model serving endpoints. * Understanding in designing and implementing automated ML workflows (training, evaluation, deployment). * Expertise in model versioning, storage, and metadata management. * Experience in implementing dataset versioning and change management. * Knowledge of model optimization and format conversion (ONNX, TFLite, TensorRT, SNPE). * Knowledge of Docker image building and optimization. * Knowledge of Kubernetes and/or RunAI. * Experience with GitHub Actions workflow design and implementation. * Experience with GCP, particularly with Vertex AI, Cloud Batch, or similar services. * Familiarity with GPU allocation and optimization for training workloads. * Expertise in unit, integration, and E2E test implementation for ML systems. * Familiarity with model metrics calculation and performance benchmarking. * Experience with testing ML models on edge devices. * Experience with Hydra or similar configuration frameworks. * Familiarity with W&B, MLflow, or similar tracking tools. * Understanding of creating and maintaining Python packages and dependencies. * Understanding of CV models, image processing, and related ML tasks.
Responsibilities * Design and implement an end-to-end MLOps architecture for computer vision models. * Create automated pipelines for model training, quantization, conversion, and evaluation. * Develop a model registry with comprehensive versioning and metadata capabilities. * Build systems for automated model testing across multiple target architectures. * Implement data versioning and dataset management solutions. * Maintain CI/CD pipelines for ML model lifecycle management. * Optimize Docker environments for development and deployment. * Develop Python libraries and APIs for internal model consumption.
We offer * US and EU projects based on advanced technologies. * Competitive compensation based on skills and experience. * Regular performance appraisals to support your growth. * Flexibility in workspace, either remote or in one of our development offices. * Comprehensive medical insurance, including dental and massages. * Personalized learning program tailored to your interests and skill development. * Sport reimbursement program for onsite and online activities. * Bonuses for recommendations of new employees. * Bonuses for article writing, public talks, and other activities. * 20 vacation days, 10 national holidays and 5 sick leaves. * Maternity leave policy and family days off. * Free tech webinars and meetups organized by Svitla. * Welcome and anniversary presents, gifts for children, and more. * Regular corporate events and meetups. * Awesome team, friendly and supportive community!
Why join Svitla Svitla Systems is a global digital solutions company headquartered in the U.S. and operating across the Americas, Europe, Asia, and APAC. Since 2003, we have served a wide range of clients — from innovative start-ups to Fortune 500 companies. Our success is built on partnership. By integrating seamlessly with clients’ teams, we create lasting collaborations that drive real results. We are strong advocates of workplace flexibility, remote culture, individual approach to professional and personal growth.
Our global mission is to build a business that contributes to wellbeing of our partners, personnel, and their families, improves our communities, and makes a lasting difference in the world. Together, we are coding a brighter tomorrow — and living it.
