AI ML Engineer

Senior Data Scientist

Johnson Controls International (JCI) is seeking a Senior Data Scientist to join our innovative and impact-driven Data Science and Analytics team. This role is ideal for a seasoned expert with a deep understanding of machine learning, AI, and cloud data platforms, and a strong grasp of the latest advancements in Generative AI and Large Language Models (LLMs).

What you will do: As a Data Scientist, you will lead the development and deployment of scalable AI solutions-including those powered by LLMs-to accelerate digital transformation across our products, operations, and customer experiences. You\'ll play a critical role in shaping JCI\'s data science strategy, mentoring teams, and driving the use of AI to deliver measurable business value.

How you will do it:

Advanced Analytics, LLMs & Modeling:

Design and implement advanced machine learning models including deep learning, time-series forecasting, recommendation engines, and LLM-based solutions (e.g., GPT, LLaMA, Claude).

Develop use cases around enterprise search, document summarization, conversational AI, and automated knowledge retrieval using large language models.

Fine-tune or prompt-engineer foundation models (e.g., OpenAI, Azure OpenAI, Hugging Face) for domain-specific applications.

Evaluate and optimize LLM performance, latency, cost-effectiveness, and hallucination mitigation strategies for production use.

Data Strategy & Engineering Collaboration:

Work closely with data and ML engineering teams to integrate LLM-powered applications into scalable, secure, and reliable pipelines.

Contribute to the development of retrieval-augmented generation (RAG) architectures using vector databases (e.g., FAISS, Azure Cognitive Search).

Support the deployment of models using MLOps principles, ensuring robust monitoring and lifecycle management.

Business Impact & AI Strategy:

Partner with cross-functional stakeholders to identify opportunities for applying LLMs and generative AI to solve complex business challenges.

Lead workshops or proofs-of-concept to demonstrate value of LLM use cases across business units.

Translate complex model outputs, including those from LLMs, into clear insights and decision support tools for non-technical audiences.

Thought Leadership & Mentorship:

Act as an internal thought leader on AI and LLM innovation, keeping JCI at the forefront of...