AI​/ML Engineer; Milwaukee, WI

Join to apply for the AI/ML Engineer (Milwaukee, WI) role at Johnson Controls

This range is provided by Johnson Controls. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$85,000.00/yr - $/yr

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).

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.

• 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 industry advancements.
  • Mentor and upskill data science team members in advanced AI techniques, including transformer models and generative AI frameworks.
  • Contribute to strategic roadmaps for generative AI and model governance within the enterprise.

• Education in Data Science, Artificial Intelligence, Computer Science, or related quantitative discipline.
• 3+ years of hands‑on experience in data science, including at least 1+ years working with LLMs or generative AI technologies.
• Demonstrated success in deploying machine learning and NLP solutions at scale.
• Proven experience with cloud AI platforms—especially Azure OpenAI, Azure ML, Hugging Face, or AWS Bedrock.

• Proficiency in Python and SQL, including libraries such as Transformers (Hugging Face), Lang Chain, PyTorch, and Tensor Flow.
• Experience with prompt engineering, fine‑tuning, and LLM orchestration tools.
• Familiarity with data storage, retrieval systems, and vector databases.
• Strong understanding of model evaluation techniques for generative AI, including factuality, relevance, and toxicity metrics.

• Strategic thinker with a strong ability to align AI initiatives to business goals.
• Excellent communication and storytelling skills, especially in articulating the value of LLMs and advanced analytics.
• Strong collaborator with a track record of influencing stakeholders across product, engineering, and executive teams.

• Experience with IoT, edge analytics, or smart building systems.
• Familiarity with LLMOps, Lang Chain, Semantic Kernel, or similar orchestration frameworks.
• Knowledge of data privacy and governance considerations specific to LLM usage in enterprise environments.

HIRING SALARY RANGE: $85,000 – 107,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, location and alignment with market data.) This position includes a competitive benefits package. For details, please visit the About Us tab on the Johnson Controls Careers site at

Seniority level:
Mid‑Senior level

Employment type:

Full‑time

Job function:
Engineering and Information Technology

Industries:
Industrial Machinery Manufacturing