Honeywell

2 days ago

Advanced Software Engr

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Lead advanced AI/data engineering development by building production-grade models and software components, troubleshooting complex issues, and optimizing performance, latency, and resource utilization. Collaborate with data scientists, software engineers, and product teams to translate business requirements into intelligent systems. Evaluate and integrate AI services, frameworks, and APIs, and operationalize ML/LLM solutions using MLOps, cloud platforms, CI/CD, and DevOps practices for scalable deployments.

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Lead development of AI solutions using supervised, unsupervised, and reinforcement learning techniques.
•Collaborate with data scientists, software engineers, and product teams to translate business requirements into intelligent systems.
•Optimize model performance, latency, and resource utilization for production-grade deployments.
•Evaluate and integrate third-party AI services, frameworks, and APIs where appropriate.
•Operationalize AI/ML workflows using MLOps, CI/CD, DevOps practices, and cloud/container technologies.

Key Requirements

•6+ years of experience in data engineering and MLOps with production-grade models.
•Lead development of AI solutions using supervised, unsupervised, and reinforcement learning techniques.
•Strong proficiency in Python and ML libraries including TensorFlow, PyTorch, Scikit-learn, and XGBoost.
•Hands-on MLOps experience with tools such as MLflow, Kubeflow, SageMaker, and Azure ML.
•Experience with cloud and deployment ecosystems including Azure/AWS/GCP, Docker/Kubernetes, and big data/streaming tools like Spark/Hadoop/Databricks and Kafka/Flink.

Experience:6+ yearsMLMLOpsAIData engineering

Skills:CommunicationStakeholder managementProblem-solvingLeadershipCollaboration

Tech Stack:PythonTensorFlowPyTorchScikit-learnXGBoostNLPComputer VisionTime Series ForecastingRecommendation SystemsMLflowKubeflowSageMakerAzure MLHugging Face TransformersLangChainOpenAI APIsFAISSPineconeWeaviateAzure

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

2 days ago

Advanced Software Engr

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Lead development of AI solutions using supervised, unsupervised, and reinforcement learning techniques.
•Collaborate with data scientists, software engineers, and product teams to translate business requirements into intelligent systems.
•Optimize model performance, latency, and resource utilization for production-grade deployments.
•Evaluate and integrate third-party AI services, frameworks, and APIs where appropriate.
•Operationalize AI/ML workflows using MLOps, CI/CD, DevOps practices, and cloud/container technologies.

Key Requirements

•6+ years of experience in data engineering and MLOps with production-grade models.
•Lead development of AI solutions using supervised, unsupervised, and reinforcement learning techniques.
•Strong proficiency in Python and ML libraries including TensorFlow, PyTorch, Scikit-learn, and XGBoost.
•Hands-on MLOps experience with tools such as MLflow, Kubeflow, SageMaker, and Azure ML.
•Experience with cloud and deployment ecosystems including Azure/AWS/GCP, Docker/Kubernetes, and big data/streaming tools like Spark/Hadoop/Databricks and Kafka/Flink.

Experience:6+ yearsMLMLOpsAIData engineering

Skills:CommunicationStakeholder managementProblem-solvingLeadershipCollaboration

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