Senior Machine Learning Engineer

HP
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 12+ yearsEducation: mastersSkills: ["Cross-functional collaboration","Production reliability focus","Security-minded engineering","Operational discipline","Problem-solving"]

Design, build, and operate an MLOps platform that moves machine learning and LLM models from experimentation into secure, reliable, production deployments. Own CI/CD and automated testing, model/endpoint serving, observability, monitoring, governance, rollback, and disaster recovery. Collaborate across AWS and Databricks with data scientists, ML engineers, software, security, and platform teams to deliver low-latency, scalable inference services and operational standards.

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FursaFursa
HP
HP
5 days ago

Senior Machine Learning Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Design, build, and operate an MLOps platform that moves machine learning and LLM models from experimentation into secure, reliable, production deployments. Own CI/CD and automated testing, model/endpoint serving, observability, monitoring, governance, rollback, and disaster recovery. Collaborate across AWS and Databricks with data scientists, ML engineers, software, security, and platform teams to deliver low-latency, scalable inference services and operational standards.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and implement a scalable MLOps platform using AWS and Databricks, including reference architectures and reusable deployment patterns for ML and LLMs.
  • •Build automated CI/CD pipelines for model code, inference services, infrastructure, configuration, and model artifacts, including end-to-end automated testing.
  • •Design and operate secure, scalable, low-latency inference endpoints, covering synchronous/asynchronous/batch/streaming patterns and LLM serving workflows.
  • •Implement monitoring, observability, and operational runbooks across infrastructure, applications, models, and user interactions, and support incident management.
  • •Apply security and governance controls for model-serving environments and deployment pipelines, including IAM/permissions, secrets, encryption, auditability, rollback, and disaster recovery.

Key Requirements

  • •Significant experience in MLOps, platform engineering, DevOps/SRE, cloud engineering, or production machine learning.
  • •Proven hands-on ability deploying and operating ML models in production, including strong AWS and cloud architecture experience.
  • •Strong experience with Databricks (including MLflow, model registry, jobs/clusters, permissions, and model serving).
  • •Experience building CI/CD pipelines (e.g., GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps, or AWS CodePipeline) and containerized deployments using Docker.
  • •Strong knowledge of Kubernetes (ECS/EKS) plus Infrastructure as Code (preferably Terraform) and production-grade monitoring/observability and rollback/recovery.
Experience:12+ yearsMLOpsPlatform engineeringDevOpsSRECloud engineeringProduction machine learningGenerative AI
Education:Master's
Skills:Cross-functional collaborationProduction reliability focusSecurity-minded engineeringOperational disciplineProblem-solving
Tech Stack:AWSDatabricksMLflowAmazon SageMakerAmazon ECSAmazon EKSAWS LambdaAPI GatewayApplication Load BalancersKubernetesDockerTerraformAWS CloudFormationGitHub ActionsGitLab CI/CDJenkinsAzure DevOpsAWS CodePipelinePythonREST APIs

Company Brief

HP
Designs and manufactures personal computers, printers, and related supplies, as well as provides software, services, and solutions for consumers and enterprises worldwide.
Industry: Hardware Devices
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Palo Alto, United States
Founded: 1939
Glassdoor
Glassdoor: 3.8
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