Honeywell

3 weeks ago

Sr Advanced Software Engr

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Lead and contribute to the design, development, and deployment of scalable AI-driven applications and ML pipelines. You will mentor a team of software engineers, collaborate with cross-functional partners, and deliver cloud-native backend services and AI solutions at Honeywell from the Bangalore location on a hybrid schedule.

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Architect and develop end-to-end AI/ML pipelines including data ingestion, preprocessing, training, evaluation, and deployment.
•Design and build scalable, cloud-native backend services using Python (Django, FastAPI, etc.).
•Develop and deploy machine learning models (NLP, computer vision, predictive analytics, GenAI use cases).
•Implement microservices-based architecture and define APIs for AI-enabled products.
•Drive MLOps practices including CI/CD pipelines, model versioning, monitoring, and retraining.

Key Requirements

•9–12 years of software engineering experience with Python-based backend systems.
•Strong programming in Python (3.x) with Django/FastAPI.
•Hands-on experience with AI/ML model development and deployment using frameworks like TensorFlow, PyTorch, or Scikit-learn.
•Experience with microservices architecture and REST APIs, plus containerization/orchestration (Docker, Kubernetes).
•Strong knowledge of cloud platforms (AWS, Azure, or GCP) and building scalable distributed backends.

Experience:9-12 yearsAI/MLCloudBackendPython

Education:Bachelor's

Skills:PythonDjangoFastAPITensorFlowPyTorchScikit-learnDockerKubernetesCI/CDDevOpsREST APIsMicroservicesCloud

Languages:English

Tech Stack:PythonDjangoFastAPITensorFlowPyTorchScikit-learnDockerKubernetesAWSAzureGCP

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

Glassdoor: 3.8

Website LinkedIn Glassdoor

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Honeywell

3 weeks ago

Sr Advanced Software Engr

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Architect and develop end-to-end AI/ML pipelines including data ingestion, preprocessing, training, evaluation, and deployment.
•Design and build scalable, cloud-native backend services using Python (Django, FastAPI, etc.).
•Develop and deploy machine learning models (NLP, computer vision, predictive analytics, GenAI use cases).
•Implement microservices-based architecture and define APIs for AI-enabled products.
•Drive MLOps practices including CI/CD pipelines, model versioning, monitoring, and retraining.

Key Requirements

•9–12 years of software engineering experience with Python-based backend systems.
•Strong programming in Python (3.x) with Django/FastAPI.
•Hands-on experience with AI/ML model development and deployment using frameworks like TensorFlow, PyTorch, or Scikit-learn.
•Experience with microservices architecture and REST APIs, plus containerization/orchestration (Docker, Kubernetes).
•Strong knowledge of cloud platforms (AWS, Azure, or GCP) and building scalable distributed backends.

Experience:9-12 yearsAI/MLCloudBackendPython

Education:Bachelor's

Skills:PythonDjangoFastAPITensorFlowPyTorchScikit-learnDockerKubernetesCI/CDDevOpsREST APIsMicroservicesCloud

Languages:English

Tech Stack:PythonDjangoFastAPITensorFlowPyTorchScikit-learnDockerKubernetesAWSAzureGCP

Company Brief

Honeywell

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

Glassdoor: 3.8

Website LinkedIn Glassdoor