AI Data Scientist - Pune, India

Join Johnson Controls, a leader in smart building technology, and contribute to the future of optimized energy utilization, automated building insights, and predictive maintenance. Our Data Strategy & Intelligence team is seeking a talented AI Data Scientist to be based in Pune, India.

As our buildings become smarter and generate more data, we are at the forefront of leveraging AI for enterprise solutions. This role is crucial in developing and deploying cutting-edge machine learning, Generative AI, and time series analysis models into production environments.

The Role

To excel in this position, you will need a profound understanding of machine learning concepts, Large Language Models (LLMs) including their training, optimization, and deployment, and time series models. Proven experience in developing and deploying these models in production is essential.

What You Will Do

As an AI Data Scientist, you will be instrumental in developing and maintaining the AI algorithms and capabilities that power our digital products. You will work with data from commercial buildings, applying advanced machine learning, GenAI, and other algorithms to deliver significant value:

• Optimize building energy consumption, occupancy, and reduce CO2 emissions.
• Enhance user comfort within smart buildings.
• Generate actionable insights to improve building operations.
• Translate complex data into direct, actionable recommendations for various stakeholders.

Your work will ensure that our AI solutions deliver robust and repeatable outcomes through well-designed algorithms and high-quality software. You should be adept at applying machine learning concepts to real-world challenges and handling the complexities of real-world datasets.

How You Will Do It

• Contribute actively as a member of the AI team, managing assigned tasks effectively.
• Collaborate closely with product managers to conceptualize and design new AI capabilities.
• Explore and analyze available datasets to identify potential applications and opportunities.
• Develop ML/Generative AI/time series prediction solutions using Python and relevant libraries to meet complex business requirements.
• Research and implement state-of-the-art techniques in Generative AI.
• Perform pre-training and fine-tuning of ML models on CPU/GPU clusters, optimizing for performance trade-offs.
• Adhere to code-quality standards and best practices in software development.
• Develop and maintain comprehensive test cases to validate algorithm correctness.
• Analyze failures to identify root causes and plan effective fixes for bugs.
• Communicate key results and insights clearly to stakeholders.
• Utilize JIRA for work planning and issue tracking.

What We Look For

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• A minimum of 5 years of experience in developing and deploying ML models, with a demonstrable track record of delivering production-ready solutions.
• Proficiency in Python and standard ML libraries such as PyTorch, Tensorflow, Keras, NumPy, Pandas, scikit-learn, Matplotlib, and Transformers.
• A strong grasp of ML algorithms and techniques, including Regression, Classification, Clustering, Deep Learning, NLP/Transformer models, LLMs, and Time Series prediction models.
• Experience in developing SOA LLM frameworks and models (e.g., Azure OpenAI, Meta Llama), advanced prompt engineering, and LLM fine-tuning/training.
• Experience with cloud-based ML/GenAI model development and deployment on platforms like AWS, GCP, or Azure.
• Excellent verbal and written communication skills.

Preferred Qualifications

• Prior domain experience in smart buildings and building operations optimization.
• Experience working with Microsoft Azure Cloud.