Associate Director, RDU IT - MLOps

AstraZeneca
Bengaluru
Workplace: OnsiteFull timeFunction: Executive & General ManagementEducation: bachelorsSkills: ["Communication","Collaboration","Cross-functional teamwork","Problem-solving","Independent execution"]

Lead the development and implementation of MLOps infrastructure and tools to design, build, and deploy production-ready machine learning models at scale. Partner with cross-functional teams to solve business problems using ML, oversee training/validation, and ensure scalability, performance, and maintainability. Build and maintain automated MLOps pipelines and governance/monitoring mechanisms, including integration of Generative AI solutions within the broader ML ecosystem.

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FursaFursa
AstraZeneca
AstraZeneca
1 day ago

Associate Director, RDU IT - MLOps

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Lead the development and implementation of MLOps infrastructure and tools to design, build, and deploy production-ready machine learning models at scale. Partner with cross-functional teams to solve business problems using ML, oversee training/validation, and ensure scalability, performance, and maintainability. Build and maintain automated MLOps pipelines and governance/monitoring mechanisms, including integration of Generative AI solutions within the broader ML ecosystem.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Executive & General Management
Seniority: Director level

Key Responsibilities

  • •Lead development and implementation of MLOps infrastructure and tools for machine learning models.
  • •Collaborate with multi-functional teams to identify, prioritize, and solve business problems using ML techniques.
  • •Design, develop, and implement production-grade ML models that meet business requirements.
  • •Oversee training, testing, and validation of ML models and ensure high-quality standards across scalability, maintainability, and performance.
  • •Develop and maintain MLOps pipelines to automate ML workflows, integrate with existing IT systems, and implement monitoring and governance for Generative AI solutions.

Key Requirements

  • •Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field.
  • •5+ years building and deploying machine learning models in production environments.
  • •Hands-on experience with data science operations and MLOps, including serverless architectures, Kubernetes, and Docker/containerization.
  • •Experience with CI/CD orchestration frameworks (e.g., GitHub Actions, Jenkins, Bitbucket pipelines) and software development lifecycle maintenance.
  • •Strong programming skills in Python, including experience with TensorFlow, Keras, or PyTorch; plus familiarity with MLOps tools (e.g., MLflow, Sagemaker, Azure) and orchestration tools (Airflow/Flyte/Kubeflow).
Education:Bachelor's
Skills:CommunicationCollaborationCross-functional teamworkProblem-solvingIndependent execution
Tech Stack:PythonTensorflowKerasPyTorchKubernetesDockerServerlessGitHub ActionsJenkinsBitbucketAirflowFlyteKubeflowMLflowSagemakerAzureAWSGCPAPICI/CD

Company Brief

AstraZeneca
Global biopharmaceutical company discovering, developing and commercializing prescription medicines across oncology, cardiovascular, renal & metabolism, respiratory, and immunology, focused on innovative therapies and vaccines to improve patient outcomes worldwide.
Industry: Pharmaceuticals
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Cambridge, United Kingdom
Founded: 1999
Glassdoor
Glassdoor: 3.8
WebsiteLinkedIn