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Open nowFirst seen 3 days ago

Senior Specialist, ESE ML Engineer

Lifelancer3,730 open roles

Where
Remote
Work mode
Remote
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Your applicationOpen nowSenior Specialist, ESE ML EngineerLifelancer · Remote

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Share of postings closed within
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  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 3 days ago

The posting

Job Title: Senior Specialist, ESE ML Engineer

Job Location: Hyderabad, Telangana, India

Job Location Type: Remote

Job Contract Type: Full-time

Job Seniority Level:

Job Description

Senior Specialist, ESE ML Engineer

The Opportunity

  • Join a global biopharma company with a 130-year legacy and mission to achieve new milestones in healthcare. Be part of technology driven, data-led organization supporting a diversified portfolio of medicines, vaccines and animal health products. Work alongside passionate teams that use data, analytics and insights to drive decisions, and tackle some of the world’s greatest health threats.
  • Our Technology Centers are globally distributed hubs that enable our digital transformation and business outcomes across IT. They bring together diverse teams to collaborate, share best practices, and deliver solutions that save and improve lives.
  • This role is based at our Hyderabad Tech Center and follows a hybrid working model (3 days onsite, 2 days remote). Candidates are expected to reside within commuting distance of the Hyderabad office.

Role Overview

As an ML Engineer with a strong software engineering and AI focus, you will design, build and maintain scalable data pipelines and platforms and ensure pipeline reliability, performance and governance through automation, monitoring, logging and documentation. You will partner with data scientists, analysts and business stakeholders to translate requirements into production-grade, observable pipelines, and act as a strategic advisor to the business on what the data can actually support. You will operate within a matrix environment, participating in project planning, delivery and cross-team collaboration.

What will you do in this role:

  • Design, develop, and maintain data pipelines to extract and enrich, and process data for advanced analytics and AI applications.
  • Design and execute structured experiments to validate data quality, measure the impact of data enrichment pipelines, and evaluate ML pipeline performance.
  • Work closely with data scientists, analysts, and business teams to understand data requirements and deliver solutions aligned with business goals.
  • Integrate AI and machine learning models into production systems, ensuring scalable and resilient data flows.
  • Build and maintain platforms that support data ingestion, transformation, and orchestration across various data sources, both internal and external.
  • Use data orchestration, logging, and monitoring tools to build resilient pipelines.
  • Automate data flows and pipeline monitoring to ensure scalability, performance, and resilience of the platform.
  • Monitor, troubleshoot, and resolve issues related to the data integration platform, ensuring uptime and reliability.
  • Maintain thorough documentation for integration processes, configurations, and code to ensure easy onboarding for new team members and future scalability.
  • Develop pipelines to ingest data into cloud data warehouses.
  • Create and deliver standard reports in accordance with stakeholder needs.
  • Work within a matrix organizational structure, reporting to both the functional manager and the project manager.
  • Participate in project planning, execution, and delivery, ensuring alignment with both functional and project goals.

What should you have:

  • Bachelors’ degree in Information Technology, Computer Science or any Technology stream.
  • 7-11 years of experience in developing data pipelines & data infrastructure, ideally within a drug development or life sciences context.

Preferred Skills:

Primary Skills (Must have):

  • Strong software engineering background with solid programming experience in Python (including PySpark) and robust SQL skills.
  • Proven experience working with AI/ML frameworks and integrating machine learning models into production systems.
  • Hands-on experience with experiment design (e.g., A/B testing, statistical validation) to evaluate and validate the quality of data enrichment and ML pipelines.
  • Practical experience with AWS S3 and core AWS console concepts (IAM, regions, basic cloud architecture)
  • Experience with cloud object storage (e.g., Amazon S3) and cloud data warehouses or lakehouses (e.g., Redshift, Snowflake, Azure Synapse, Delta Lake)
  • Familiarity with data modeling, ETL/ELT patterns, and data transformation best practices
  • Experience implementing monitoring, logging, and data quality checks for operational pipelines
  • Familiarity with CI/CD concepts and pipelines for data deployments, experience with Git-based tooling (GitHub Actions, Jenkins, or Azure DevOps)
  • Proven ability to work collaboratively with data scientists, analysts, and business stakeholders
  • Good interpersonal and communication skills (verbal and written)
  • Product and customer-centric approach and innovative thinking.

Secondary Skills (Nice to have):

  • Prior experience in a global or matrixed organization
  • Exposure to observability and data quality platforms (Monte Carlo, Great Expectations, Deequ)
  • Knowledge of orchestration and scheduling tools (Airflow, Prefect, Azure Data Factory).

Who we are:

We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.

What we look for:

Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today.

Required Skills:

Amazon Web Services (AWS), Artificial Intelligence (AI), Data Engineering, Data Modeling, Data Transformation, Machine Learning (ML), PySpark, Python (Programming Language), Structured Query Language (SQL)

Preferred Skills:

Current Employees apply HERE

Current Contingent Workers apply HERE

Secondary Language(s) Job Description:

#MSDHYDIT

Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status:

Regular

Relocation:

Domestic

VISA Sponsorship:

No

Travel Requirements:

No Travel Required

Flexible Work Arrangements:

Hybrid

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

n/a

Job Posting End Date:

08/14/2026

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Requisition ID:R410091

This job is curated by Lifelancer.

Lifelancer is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech and IT domains.

Please apply via Lifelancer platform to get connected to the application page and to find similar roles.

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