HYDERABAD · FULLTIME
Sr Machine Learning Engineer
Amgen
Hyderabad · onsite · Posted 58d ago
Sourced from
Undisclosed3–5 yrsfulltimeHyderabad
About a minute. You'll make an account on the way through.
agent · working
- Read this posting0.8s
- Found the form on Naukri · 13 questions to answer1.5s
- Decided the answers for all of them2.7s
- Tailor your résumé to this role
- Waiting for you
Section · 01
About this role
- Job DescriptionWe are seeking a Sr Machine Learning EngineerAmgens most senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI platforms. Sitting at the intersection of engineering excellence and data-science enablement, you will design the core services, infrastructure and governance controls that allow hundreds of practitioners to prototype, deploy and monitor modelsclassical ML, deep learning and LLMssecurely and cost-effectively.Acting as a player-coach, you will establish platform strategy, define technical standards, and partner with DevOps, Security, Compliance and Product teams to deliver a frictionless, enterprise-grade AI developer experience.
Roles Responsibilities:- Engineer end-to-end ML pipelinesdata ingestion, feature engineering, training, hyper-parameter optimization, evaluation, registration and automated promotionusing Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks.
- Harden research code into production-grade micro-services, packaging models in Docker/Kubernetes and exposing secure REST, gRPC or event-driven APIs for consumption by downstream applications.
- Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines or business-logic layers so insights reach users with sub-second latency.
- Optimize performance and cost at scaleselecting appropriate algorithms (gradient-boosted trees, transformers, time-series models, classical statistics), applying quantization/pruning, and tuning GPU/CPU auto-scaling policies to meet strict SLA targets.
- Instrument comprehensive observabilityreal-time metrics, distributed tracing, drift bias detection and user-behavior analyticsenabling rapid diagnosis and continuous improvement of live models and applications.
- Embed security and responsible-AI controls (data encryption, access policies, lineage tracking, explainability and bias monitoring) in partnership with Security, Privacy and Compliance teams.
- Contribute reusable platform componentsfeature stores, model registries, experiment-tracking librariesand evangelize best practices that raise engineering velocity across squads.
- Perform exploratory data analysis and feature ideation on complex, high-dimensional datasets to inform algorithm selection and ensure model robustness.
- Partner with data scientists to prototype and benchmark new algorithms, offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs.
Must-Have Skills:- 3-5 years in AI/ML and enterprise software.
- Comprehensive command of machine-learning algorithmsregression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniqueswith the judgment to choose, tune and operationalise the right method for a given business problem.
- Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale.
- Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel).
- Proficiency in Python and Java; containerisation (Docker/K8s); cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines).
- Strong business-case skillsable to model TCO vs. NPV and present trade-offs to executives.
- Exceptional stakeholder management; can translate complex technical concepts into concise, outcome-oriented narratives.
-
- Additional Job DescriptionAdditional Job Description
Sourced from naukri
Section · 02
Skills
DevopsDockerBedrockDistributed Tracingdeveloper experienceapisclusteringamazon web servicesencryptionDownstreamEnterprise SoftwareExploratory Data AnalysiscloudAlgorithmsDeep LearningcomplianceMicrosoft AzureArtificial Intelligence
Section · Company
About Amgen
Amgen
Biotechnology
1.5k+
employees
1980
46 years old
Hyderabad, Telangana
India
About
Amgen operates in the biotechnology sector, developing and delivering advanced medicines to address critical health challenges globally.
Industries
BiotechnologyBiotech & Life sciences
Employee ratings
173 reviews
2.8/ 5
Culture
2.7
Career growth
2.5
Work-life
2.8
Employees rate it well for
Senior Management11Salary7Work Culture7Work Life Balance7Learning6
Find them on