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Senior Machine Learning Engineer_Manufacturing GCC_Pune

Pune Permanent View Job Description
We are seeking a skilled Machine Learning Engineer responsible for building and scaling end-to-end data and ML pipelines that enable advanced analytics, automation, and GenAI use cases and implementing MLOps/GenAIOps practices for reliable model deployment and lifecycle management
  • To be part of one of the largest manufacturing GCCs in Pune
  • Get to design, develop, and deploy advanced machine learning platforms.

About Our Client

The client is a global company that develops and manufactures professional tools, technology, software, and services for the construction industry.

Job Description

  • Design and implement scalable pipelines for both traditional ML and GenAI use cases, including data preprocessing, training, evaluation, and deployment..
  • Apply best practices in MLOps and emerging GenAIOps frameworks for model versioning, deployment, monitoring, and lifecycle management..
  • Ensure model reliability and accuracy through rigorous testing, validation, monitoring, and continuous improvement of deployed models.
  • Drive innovation and mentor others, by exploring emerging ML & GenAI technologies, recommending enhancements to existing systems, and coaching junior team members to foster a culture of technical excellence.
  • Collaborate closely with data engineers and data scientists to ensure seamless integration of data workflows and alignment of modeling efforts with analytical goals.

The Successful Applicant

A successful Machine Learning Engineer should have:

  • Have a minimum of 6 years of hands-on experience in leveraging AWS and/or other cloud providers and analytics platforms, with a proven track record of delivering sophisticated solutions.
  • Experience with MLOps tools and frameworks for model versioning, deployment, and monitoring and Hands-on experience with GenAI frameworks (e.g., LangChain, OpenAI API).
  • Strong understanding of data preprocessing, feature engineering, and model evaluation techniques as well as LLM architectures, prompt engineering, and fine-tuning techniques..
  • Experience integrating ML and genAI models into production systems and working with APIs.
  • Familiarity with CI/CD practices for workflows and automated testing of model performance and stability.
  • Experience with AWS cloud-services like Sagemaker, Bedrock, Glue, Athena, Lambda and similar
  • Possess a keen problem-solving acumen, self-driven, and proactive.
  • Exhibit exceptional communication skills in English, adept at engaging stakeholders at all levels.



What's on Offer

  • A competitive salary package
  • Opportunities to work on cutting-edge projects in the manufacturing industry.
  • Supportive and innovative company culture based in Pune.
  • Comprehensive benefits package, including holiday leave and professional development opportunities.



If you're passionate about machine learning and want to make an impact in the manufacturing industry, we encourage you to apply today!

Quote job ref
JN-032026-6968063

Job summary

Function
Analytics
Sub Sector
Machine Learning
What is your area of specialisation?
Industrial / Manufacturing
Location
Pune
Job Type
Permanent
Job Reference
JN-032026-6968063

Diversity & Inclusion at Michael Page

We don't just accept difference - we celebrate it. We encourage applicants from all backgrounds to apply for this role and are committed to building inclusive, diverse workplaces where everyone can thrive. If you require any support or reasonable adjustments during the recruitment process, please let us know.