Manager, ML Engineering

Job Description

Manager, ML Engineering

The Opportunity

• Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.

• Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products.

• Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats.

Our Technology centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of the company’s IT operating model, Tech centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy.

A focused group of leaders in each tech center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. 

Role Overview:

As an ML Engineer in the Generative AI (GenAI) space, you will play a pivotal role in the development and deployment of GenAI Solutions. You will work with Large Language Models (LLMs) to solve business problems by prompting, agent creation, and other GenAI methods. Working closely with data scientists, you will build and optimize scalable models for various applications along with leverage MLOps tooling to provide continuous evaluation and improvements. Proficient in programming languages like Python and skilled in software engineering, you will bridge the gap between theoretical research and practical implementation, contributing significantly to technological advancements.

What will you do in this role:

• Apply given machine learning techniques to data, under the guidance of technical leadership. Analyze and report findings and remediate simple issues using algorithms implemented in standard software frameworks and tools.

• Design, code, verify, test, document, amend, and refactor simple programs/scripts. Apply agreed standards and tools to achieve a well-engineered result.

• Produce software builds from software source code. Conduct tests as defined in an integration test specification and record the details of any failures.

• Analyze and report integration test activities and results. Identify and report issues and risks.

• Design test cases, create test scripts and test data, and automate repeatable tasks working to the requirements or specifications provided.

• Define test conditions for given requirements. Execute and record manual and automated testing in accordance with test plans.

• Create and document detailed designs for simple software applications or components. Apply agreed modeling techniques, standards, patterns and tools.

• Contribute to the design of components of larger software systems. Review own work.

• Evaluate model performance using appropriate metrics and implement improvements based on feedback loops.

• Participate in Agile ceremonies with the team to execute on prioritized projects and features.

• Stay up to date with the latest advancements in machine learning and apply state-of-the-art techniques to projects.

 What Should you have:

• Bachelor’s degree in information technology, Computer Science, or any Technology stream.

• 3+ years of experience in programming skills in Python. Knowledge of Javascript/Typescript, C++ is a plus.

• Proficiency in data processing and analysis.

• Experience with machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Keras, and NumPy).

• Knowledge of data structures, software engineering principles, and ML Ops.

• Experience with Natural Language Processing (NLP) and Generative AI.

• Familiarity with cloud platforms (e.g., AWS, Azure, GCP).

• Strong analytical and problem-solving abilities.

• Effective communication and interpersonal skills to liaise with cross-functional teams.

Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. 

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 inventing for life, 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.

#HYDIT2025

Current Employees apply HERE

Current Contingent Workers apply HERE

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:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Required Skills:

Data Engineering, Design Applications, Information Security, Machine Learning, Software Development, Software Development Life Cycle (SDLC), System Designs, Systems Integration, Testing

Preferred Skills:

Job Posting End Date:

04/4/2025

*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.