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Advanced Software Engr

Honeywell · Posted Nov 4

Building automation, industrial automation, aerospace, and energy-efficient technology solutions

Bengaluru, Karnataka, IndiaFull-timeHybridSenior Level5+ years₹30.0L–₹45.0L yearly32 applicants
ConglomerateAutomationIndustrial TechnologyAerospaceBuilding TechnologiesPublic Company
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About the role

The role focuses on designing, developing, and deploying machine learning and deep learning models, with a strong emphasis on Generative AI applications using Large Language Models. It involves building RAG solutions, fine-tuning models, and implementing MLOps practices for scalable AI pipelines. The position requires expertise in Python, deep learning frameworks, and cloud AI platforms.

What you will do

  • 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.

Skills used in this role

What the employer is looking for

  • Machine Learning & AI
  • Generative AI
  • Strong 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 Services
  • Azure OpenAI
  • AWS AI/ML Services
  • Google Vertex AI

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Honeywell

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Honeywell

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Honeywell is a multinational conglomerate corporation that invents and manufactures technologies addressing tough challenges linked to global macrotrends such as safety, security, and energy. It operates major business divisions focusing on building automation, industrial automation, and enterprise performance solutions. Through continuous innovation, the company helps drive smarter, safer, and more sustainable operations worldwide.

Industry
Conglomerate
Company size
101000+ employees
Founded
1906
Location
Charlotte, North Carolina, USA
Funding stage
Public Company

Leadership

VK
Vimal Kapur

Chairman and Chief Executive Officer

MS

Mike Stepniak

Senior Vice President and Chief Financial Officer

SV

Suresh Venkatarayalu

Senior Vice President and Chief Technology Officer

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