Sr Advanced Software Engr

Honeywell
Pune
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 6+ yearsEducation: mastersSkills: ["Analytical mindset","Data-driven decision-making","Communication","Mentorship","Code quality"]

Drive end-to-end design, development, and deployment of cloud-based AI/ML solutions that add autonomous capabilities to Honeywell products. Build scalable workflows from data ingestion to model deployment, collaborating with Data Engineering, ML Engineering, and DevOps on robust MLOps pipelines. Evaluate models for performance, bias, and drift, integrate AI capabilities (time series, CV, NLP, GenAI/RAG/agents) into products, and mentor junior engineers.

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FursaFursa
Honeywell
Honeywell
2 days ago

Sr Advanced Software Engr

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live
Reposted: similar role first listed 6 months ago

Job Summary

Drive end-to-end design, development, and deployment of cloud-based AI/ML solutions that add autonomous capabilities to Honeywell products. Build scalable workflows from data ingestion to model deployment, collaborating with Data Engineering, ML Engineering, and DevOps on robust MLOps pipelines. Evaluate models for performance, bias, and drift, integrate AI capabilities (time series, CV, NLP, GenAI/RAG/agents) into products, and mentor junior engineers.
Location: Pune
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and implement high-impact AI/ML models and workflows, building scalable and reliable cloud solutions.
  • •Collaborate across Data Engineering, ML Engineering, and DevOps to create end-to-end MLOps pipelines using MLflow and Kubeflow.
  • •Review ML models for performance, bias, and drift, and propose corrective actions.
  • •Integrate AI solutions (TimeSeries, Computer Vision, NLP, GenAI/RAG/Agentic AI) into existing Honeywell products while maintaining code quality standards.
  • •Mentor junior engineers and promote best practices in model development and deployment.

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science, AI, or a related technical field.
  • •6+ years of hands-on experience developing and deploying ML models in production.
  • •Proven experience with advanced machine learning frameworks such as TensorFlow and PyTorch.
  • •Demonstrated MLOps expertise, including CI/CD, containerization, and orchestration.
  • •Strong Python skills, with exposure to Scala or Java considered a plus.
Experience:6+ yearsMachine learningMLOps
Education:Master's in Computer Science, AI
Skills:Analytical mindsetData-driven decision-makingCommunicationMentorshipCode quality
Tech Stack:PythonTensorFlowPyTorchCI/CDContainerizationOrchestrationScalaJavaAWSAzureGCPDatabricksVertexAIMLflowKubeflowTimeSeriesComputer VisionNLPGenAIRAG

Company Brief

Honeywell
Global diversified technology and manufacturing company providing aerospace systems, building technologies, performance materials, and safety & productivity solutions for industrial, commercial, and consumer markets.
Industry: Conglomerates & Holding Companies
Company Size: Enterprise (1,001+ employees)
Revenue: USD 25B to 50B
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Charlotte, United States
Founded: 1906
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