Lead AI ML Engineer @ BMC Software

Here is how, through this exciting role, YOU will contribute to BMC's and your own success:

We are seeking a Python with AI/ML Developer to join a highly motivated team responsible for developing and maintaining innovation for mainframe capacity and cost management. As an Application Developer at BMC, you will be responsible for:

• Developing and integrating AI/ML models with a focus on Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and Vector Databases to enhance intelligent decision-making.
• Building scalable AI pipelines for real-time and batch inference, optimizing model performance, and deploying AI-driven applications.
• Implementing RAG-based architectures using LLMs (Large Language Models) for intelligent search, chatbot development, and knowledge management.
• Utilizing vector databases (e.g., FAISS, ChromaDB, Weaviate, Pinecone) to enable efficient similarity search and AI-driven recommendations.
• Developing modern web applications using Angular to create interactive and AI-powered user interfaces.
• Developing APIs and microservices to expose AI/ML models for enterprise applications.
• Processing and analyzing structured & unstructured data, including text, images, and time-series data for AI/ML applications.
• Optimizing ML models for performance and scalability, ensuring low latency and high availability in production.
• Staying updated with advancements in GenAI, NLP, transformers, and deep learning architectures to drive innovation.
• Collaborating with cross-functional teams to integrate AI capabilities into existing applications and workflows.

To ensure youre set up for success, you will bring the following skillset & experience:

• Strong proficiency in Python and AI/ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers, LangChain.
• Experience with Vector Databases (FAISS, ChromaDB, Weaviate, Pinecone) for semantic search and embeddings.
• Hands-on expertise in LLMs (GPT, LLaMA, Mistral, Claude, etc.) and fine-tuning/customizing models.
• Proficiency in Retrieval-Augmented Generation (RAG) and prompt engineering for AI-driven applications.
• Experience with Angular for developing interactive web applications.
• Experience with RESTful APIs, FastAPI, Flask, or Django for AI model serving.
• Working knowledge of SQL and NoSQL databases for AI/ML applications.
• Hands-on experience with Git/GitHub, Docker, and Kubernetes for AI/ML model deployment.

Whilst these are nice to have, our team can help you develop in the following skills:

• Experience with knowledge graphs, semantic search, and enterprise AI applications.
• Additional experience with .NET v7+ and cross-platform .NET development would be helpful.
• Exposure to IBM z/OS mainframe environments and AI-driven optimization for legacy systems.
• Background in statistical data analysis, reinforcement learning, or advanced ML techniques.