Sr. Advanced AI Engr
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.
- Should have handled complete ownership of data analysis & interpretation, implementation of statistical models & ML algorithms and data visualization in projects.
- Extensive experience with PyTorch and TensorFlow to design and optimize complex neural architectures like CNNs, RNNs, and Transformers, Mastery of Python and SQL; proficiency in R, Scala, or C++ for high-performance applications.
- Frameworks: Deep expertise in PyTorch, TensorFlow, Keras, and Hugging Face.
- Cloud & Infrastructure: Hands-on experience with AWS (SageMaker, Athena), Azure, or GCP (Vertex AI).
- Big Data: Proficiency with Spark, Databricks, Airflow, and Kafka for 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 Frameworks, Proficiency in LangGraph, CrewAI, Microsoft AutoGen, and LlamaIndex 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 8+ 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’ experience. In the above-mentioned areas.