Machine Learning Engineer

ngage talent India
Relocation
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AI Summary

We're hiring an experienced Machine Learning Engineer for our analytics team. The ideal candidate will have strong hands-on experience in Machine Learning and data engineering. Key responsibilities include building, deploying, and maintaining production-grade ML models and pipelines.

Key Highlights
Location: Pune
Hybrid work model
Strong AWS expertise required
Key Responsibilities
Build, deploy, and maintain production-grade ML models and pipelines
Develop scalable, automated systems for training, retraining, monitoring, and model governance
Implement strong observability practices: model performance monitoring, data drift detection, alerting, and logging
Technical Skills Required
AWS Python APIs Testing CI/CD S3 Lambda ECS/ECR SageMaker CloudWatch Step Functions IAM
Benefits & Perks
Hybrid work model
Relocation package provided

Job Description


We’re partnering with a product‑focused organization based in Pune who are currently hiring an experienced Machine Learning Engineer for their analytics team, and your background aligns well with what they’re looking for.

Key highlights of the role:

  • Location: Pune (candidates must be based out of Pune or open to relocate)
  • Work Model: Hybrid
  • Experience: Strong hands-on experience in Machine Learning and data engineering
  • Mandatory: Solid experience working with AWS (ML deployment, pipelines, or cloud-based ML solutions)

Responsibilities-

  • Build, deploy, and maintain production‑grade ML models and pipelines across their full lifecycle.
  • Develop scalable, automated systems for training, retraining, monitoring, and model governance.
  • Implement strong observability practices: model performance monitoring, data drift detection, alerting, and logging.
  • Collaborate with Data Scientists to convert prototypes into efficient, maintainable engineering solutions.
  • Optimize ML systems for scalability, latency, cost, and reliability.
  • Contribute to and improve CI/CD workflows, infrastructure-as-code, and ML platform components.
  • Lead or influence technical initiatives that improve engineering quality and operational excellence.
  • Bring a critical, constructive perspective—challenge assumptions and advocate for best practices.

Required Skills & Experience

  • Hands-on experience deploying and maintaining ML models in production environments.
  • Strong AWS expertise (must-have): Experience with services such as S3, Lambda, ECS/ECR, SageMaker, CloudWatch, Step Functions, IAM, etc.
  • Solid understanding of ML fundamentals: model lifecycle, evaluation, drift, feature engineering, failure modes.
  • Strong software engineering skills (Python, APIs, testing, CI/CD).
  • Experience building scalable ML or data pipelines.
  • Familiarity with DevOps/SRE concepts applied to ML systems.
  • Ability to work in product-focused environments with a bias toward practical, maintainable solutions


If this sounds interesting and you’re open for relocation to Pune, then apply or get in touch with me at a.johari@gcstechtalent.com. I’d love to connect and share more details.


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