Sr Advanced AI Engr

Sr. Advanced Data Scientist

We are looking for a highly motivated Sr. Advanced Data Scientist who will be a part of HON Buildings Automation team leading end to end development of complex machine learning solutions ranging from innovating designing developing proof of concepts to prototyping and deploying of solutions in the Smart Communities domain with incident management and customizable dashboard capabilities for different user persona. Data involves multi-functional domains ranging from HVAC systems Fire security irrigation etc. Your abilities should also include ability to design effective dashboards and show the live data analytics alarms and analysis as needed. We want you to demonstrate strong sense of urgency passion and leadership and drive to make things happen with skills of segmenting complex problems into smaller problems and solve them with high precision.

Key Responsibilities

• Understanding customer requirements and talking to different stakeholders
• Architecting AI ML and Gen AI based solutions that cut across veracity and variety of data including time series audio video event data text and numeric data.
• Develop end-to-end solutions involving traditional predictive and prescriptive Analytics and Agentic AI solutions effectively combining data from various sub-systems
• Provide technical leadership to a team of data scientists
• Own the design development completion of the Technology Solutions and follow HON processes
• Strong analytical thinking problem-solving and a go-getter attitude.

Requirements:

• Have experience in architecting and completing end-to-end Machine Learning and AI solutions involving multiple kinds of data such as time series audio video event and numeric data spanning across multiple tools.
• Extensive experience withPyTorchandTensorFlowto design and optimize complex neural architectures like CNNs RNNs and Transformers Mastery ofPythonandSQL; proficiency in R Scala or C for high-performance applications.
• Frameworks:Deep expertise inPyTorchTensorFlowKeras andHugging Face.
• Cloud & Infrastructure:Hands-on experience withAWS (SageMaker Athena)Azure orGCP (Vertex AI).
• Big Data:Proficiency withSparkDatabricksAirflow andKafkafor large-scale data pipelines.
• Tooling:Experience with experiment tracking (WandB MLflow) and containerization (Docker Kubernetes).
• Data Engineering ETL setting up AI / ML pipeline
• Agentic AI FrameworksProficiency inLangGraphCrewAIMicrosoft AutoGen andLlamaIndex Workflows and Tools usage orchestration of autonomous systems Multi-Agent Systems.
• Multi-Modal AI Models Language Models and Traditional and Deep Learning AI model training and fine tuning
• Safety Ethics & AgentOps

YOU MUST HAVE

• B Tech with 7 years experience in AI ML Projects with specialization in AI/ML Pattern Recognition etc.
• M Tech with 5 years experience or a PhD with 3 years the above-mentioned areas.