Responsibilities

Key Responsibilities

- Design, develop, train, evaluate, and deploy machine learning and deep learning models.
- Develop and optimize Generative AI applications using Large Language Models (GPT, Llama, Claude, Mistral, etc.).
- Build Retrieval-Augmented Generation (RAG) solutions using vector databases.
- Fine-tune foundation models and implement prompt engineering strategies.
- Create scalable AI pipelines for data ingestion, feature engineering, model training, and inference.
- Develop AI-powered applications, chatbots, recommendation engines, and predictive analytics solutions.
- Implement MLOps practices including automated training, deployment, monitoring, and retraining.
- Work with cross-functional teams to translate business requirements into AI solutions.
- Optimize model performance, latency, accuracy, and cost efficiency.
- Ensure AI governance, model explainability, privacy, and responsible AI practices.
- Stay current with emerging AI technologies and recommend innovations.

Qualifications

Required Skills & Qualifications Technical Skills

- Machine Learning & AI
- Generative AI
- Robust understanding of: Supervised and Unsupervised Learning, Regression and Classification, Clustering, Recommendation Systems, Time-Series Forecasting, Reinforcement Learning, Deep Learning
- Experience with: LLMs (GPT, Llama, Gemini, Claude, Mistral), RAG architectures, Prompt Engineering,



Fine-tuning and PEFT techniques, LangChain / LangGraph, Semantic Kernel, AI Agents and Multi-Agent Systems
- Programming
- Expert-level Python development
- Strong knowledge of: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch
- MLOps & Deployment: Docker, Kubernetes, MLflow, CI/CD pipelines, Model Monitoring, Azure ML / AWS SageMaker / Vertex AI
- Data Technologies: SQL, Spark/PySpark, Data Engineering concepts, ETL pipelines, Feature Stores
- Vector Databases: Pinecone, ChromaDB, Weaviate, Azure AI Search, FAISS
- Cloud Platforms
- Experience in at least one:

Microsoft Azure AI ServicesAzure OpenAIAWS AI/ML ServicesGoogle Vertex AI Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.

📌 Advanced Software Engr (Bengaluru)
🏢 Honeywell
📍 Bengaluru