About the position
We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy advanced AI solutions, including large language model (LLM)-based applications and generative AI systems. The ideal candidate will have hands-on experience with modern AI frameworks, cloud platforms, and scalable deployment practices.
Responsibilities
• Develop and deploy AI/ML models, LLM-based solutions, and generative AI applications
• Design and implement MCP servers and AI-driven architectures
• Build and optimize prompts, RAG pipelines, embeddings, and vector search solutions
• Design AI workflows using platforms such as Azure OpenAI, AWS, Google Cloud Platform, Hugging Face, LangChain, and Semantic Kernel
• Integrate AI models into production systems using APIs, Python, and cloud services
• Collaborate with business stakeholders to identify use cases and deliver measurable outcomes
• Ensure adherence to responsible AI practices, including data privacy and model governance
Requirements
• Hands-on experience with LLMs (e.g., GPT, Claude, Llama, Gemini)
• Strong understanding of machine learning, NLP, computer vision, and model evaluation techniques
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and Scikit-learn
• Experience with RAG architectures and vector databases (e.g., FAISS, Pinecone, Chroma, Azure AI Search)
• Experience with cloud platforms: Azure, AWS, or Google Cloud AI services
• Knowledge of MLOps, CI/CD for ML pipelines, and scalable model deployment
Nice-to-haves
• Experience with AI copilots, automation frameworks, and agentic AI systems
• Familiarity with Docker, Kubernetes, microservices, and API orchestration
• Strong ability to communicate complex AI/ML concepts clearly to technical and non-technical stakeholders
• Python
• Machine Learning
• AI Technologies (OpenShift, React)