Machine Learning Engineer / Computer Vision

🚀AIMPROSOFT —  Machine Learning Engineer Opportunity!  

 
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.  

🎯About the role:  

In this role, you will be responsible for the full spectrum of AI development - from implementing and training machine learning models to developing sophisticated AI agents and RAG (Retrieval-Augmented Generation) systems. You'll contribute to the company's AI SDLC initiatives, lead the integration of cutting-edge AI tools, and deliver internal knowledge-sharing sessions. Your work will span training Computer Vision models, building intelligent document processing systems, architecting RAG pipelines for knowledge extraction, and developing LLM-powered applications for document classification and smart automation. You'll also participate in client projects on an outsourced basis, working on real-world AI solutions across the entire development lifecycle.

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
• Еxperience training and deploying Computer Vision models
• 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.

   

AI Agents & RAG Systems:

• 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

   

Infrastructure & Deployment:

• 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