Machine Learning Engineer
Aimprosoft, a fast-growing outsourcing IT company, is expanding its staff and is looking to hire a Middle Machine Learning Engineer to work on AI SDLC and company’s projects.
Ukraine & Europe
🎯About the role:
In this role, you will be responsible for contribute to the company’s AI SDLC initiatives, integration of AI tools, and delivery of internal knowledge-sharing sessions. The role involves hands-on work with Computer Vision and AI Agent systems (RAG pipelines), as well as participation in client projects on an outsourced basis. The ideal candidate brings a strong product mindset, is proactive in adopting and implementing state-of-the-art AI technologies, and is keen to mentor others and promote a culture of continuous learning and technical excellence.
🔥What We Need From You:
- 3+ years as a Machine Learning Engineer, Data Scientist or AI Engineer
- Proficient in Python
- Extensive experience with PyTorch, OpenCV, PIL/Pillow, and torchvision
- Proven ability to train, fine-tune, and optimize neural networks on large-scale image datasets
- Experience with model optimization techniques (ONNX conversion, quantization, pruning)
- Proactive in sharing knowledge and fostering a culture of learning
- English proficiency at B2 (Upper-Intermediate) level or higher.
- Practical experience building and deploying Retrieval-Augmented Generation (RAG) systems
- Proficiency with vector databases and embedding techniques (Qdrant, Milvus)
- Strong knowledge of Large Language Models (LLMs) integration and tuning
- Hands-on experience with LangChain, Haystack, LlamaIndex, or similar agent frameworks
- Knowledge of prompt engineering and chain-of-thought reasoning techniques
- Proficiency with Flask/FastAPI for ML model serving and API development
- Hands-on experience with Docker for containerization
- Proficient in Git for version control
Nice to Have:
- Experience with Transformers library and Hugging Face ecosystem
- Knowledge of multimodal AI systems combining vision and language models
- Familiarity with advanced RAG techniques (hybrid search, re-ranking, query expansion)
- Experience with agent memory systems and persistent context management
- Familiarity with MLOps tools (MLflow, Weights & Biases)
- Familiarity with model serving frameworks (TorchServe, BentoML, vLLM)
- Experience deploying ML models and applications on AWS infrastructure.
💼What We Offer:
- Opportunity to work with AI
- A competitive salary that appreciates your skills and experience
- Cozy atmosphere and modern approaches. We have neither bureaucracy nor strict management or "working under pressure" conditions
- Opportunity to implement your ideas, tools, and approaches. We are open to changes and suggestions aimed at improvement
Saniia Soleikina
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