Advanced AI Engr

Advanced AI Engineer

We are looking for a highly motivated energetic inquisitive young minds to be a part of HON Building Automation team developing cutting edge technologies in AI ML and Gen AI based solutions for Smart Communities domain involving multi-functional data 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 your hands-on experience and skills in development and completion of complex AL ML solutions in this domain.

Key Responsibilities

• Understanding the problem statement and allocated work
• Hands-on skills on Traditional AI / ML techniques multi-parameter pattern recognition Deep Learning AI Model Inferencing and Transformer based AI Model based solutions.
• Design and implement advanced AI models and algorithms to solve complex business problems.
• LLM SLM and other Transformer Architecture based solutions
• Multi-Agent Solutions with understanding and implementation of Agent AI Framework
• Data Engineering and ETL Pipeline implementation
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and processes

Requirements:

• 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.
• 4-5 years of experience in AI and machine learning development.
• Solid experience on prompt engineering or context engineering.
• Frameworks:Deep expertise inPyTorchTensorFlowKeras andHugging Face.
• Strong analytical and problem-solving skills with a focus on data-driven decision-making.
• 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.