Senior Software Engineer - ML Ops at Stryker

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

N/AIndustries

Requirements

5-10 years of experience in programming: Python (must), SQL
MLOps/DevOps Tools: MLflow, Azure DevOps, GitHub Actions, Docker, Kubernetes (AKS)
Azure Services: Azure ML, Azure Databricks, Azure Data Factory, Azure Storage, Azure Functions, Azure Event Hubs
CI/CD: Experience designing pipelines for ML workflows
IaC: Terraform, ARM templates, or Bicep
Data Handling: Experience with Azure Data Lake, Blob Storage, and Synapse Analytics
Monitoring & Logging: Azure Monitor, Prometheus/Grafana, Application Insights
Strong knowledge of ML lifecycle (data preprocessing, model training, deployment, monitoring)
Preferred: Experience with Azure Kubernetes Service (AKS) for scalable model deployment
Preferred: Knowledge of feature stores and distributed training frameworks
Preferred: Familiarity with RAG (Retrieval Augmented Generation) pipelines and LLMOps
Preferred: Azure certifications such as Azure AI Engineer Associate, Azure Data Scientist Associate, or Azure DevOps Engineer Expert

Responsibilities

Design, build, and maintain end-to-end MLOps pipelines for ML model training, testing, and deployment
Collaborate with Data Scientists to productionize ML models in Azure ML and Azure Databricks
Implement CI/CD pipelines for ML workflows using Azure DevOps, GitHub Actions, or Jenkins
Automate infrastructure provisioning using IaC tools (Terraform, ARM templates, or Bicep)
Monitor and manage deployed models using Azure Monitor, Application Insights, and MLflow
Implement best practices in model versioning, model registry, experiment tracking, and artifact management
Ensure security, compliance, and cost optimization of ML solutions deployed on Azure
Work with cross-functional teams (Data Engineers, DevOps Engineers, Data Scientists) to streamline ML delivery
Develop monitoring/alerting for ML model drift, data drift, and performance degradation

Skills

Key technologies and capabilities for this role

PythonSQLMLflowAzure DevOpsGitHub ActionsDockerKubernetesAzure MLAzure DatabricksAzure Data FactoryTerraformAzure MonitorApplication InsightsAzure Data LakeSynapse Analytics

Questions & Answers

Common questions about this position

What are the required skills for this Senior Software Engineer - ML Ops role?

Required skills include 5-10 years of experience in Python (must) and SQL, MLOps/DevOps tools like MLflow, Azure DevOps, GitHub Actions, Docker, and Kubernetes (AKS), Azure services such as Azure ML and Azure Databricks, CI/CD pipeline design for ML workflows, IaC with Terraform or ARM templates/Bicep, data handling with Azure Data Lake and Synapse Analytics, and monitoring with Azure Monitor and Application Insights.

Is this position remote or hybrid?

The role offers hybrid work flexibility.

What is the salary or compensation for this role?

This information is not specified in the job description.

What preferred skills would make me stand out for this position?

Preferred skills include experience with Azure Kubernetes Service (AKS), knowledge of feature stores, distributed training frameworks, RAG pipelines, LLMOps, and Azure certifications like Azure AI Engineer Associate or Azure DevOps Engineer Expert.

Does this role involve travel?

The position requires up to 10% travel.

Stryker

Develops and manufactures medical devices and equipment

About Stryker

Stryker develops and manufactures medical devices and equipment aimed at improving patient care and surgical efficiency. Their products include surgical tools, neurotechnology devices, and orthopedic implants, which are sold directly to hospitals and clinics. Stryker stands out from competitors by focusing on high-quality products and a commitment to advancing healthcare solutions. The company's goal is to enhance the overall healthcare experience for both patients and medical professionals.

Kalamazoo, MichiganHeadquarters

1941Year Founded

$423.3MTotal Funding

IPOCompany Stage

Biotechnology, HealthcareIndustries

10,001+Employees

Benefits

Medical & prescription plans

Supplemental health benefits

Flexible Spending accounts

Employee Assistance Program

Short-term & long-term disability

Tuition reimbursement

401(k) plan

Employee Stock Purchase Plan

Risks

Integration challenges from acquisitions may strain Stryker's resources.

Rapid tech advancements risk obsolescence of Stryker's current products.

Regulatory scrutiny on acquisitions could delay Stryker's market entry.

Differentiation

Stryker's acquisitions enhance its minimally invasive surgical solutions portfolio.

Entry into the peripheral vascular segment diversifies Stryker's market presence.

Stryker's focus on AI integration boosts diagnostic accuracy and operational efficiency.

Upsides

Growing demand for minimally invasive solutions aligns with Stryker's strategic acquisitions.

The orthopedic implants market growth benefits Stryker's expanding product line.

Stryker's acquisition of Inari Medical positions it in a high-growth vascular market.

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