Manager, AI Engineer ML Ops

Job Description

Manager, AI Engineer ML Ops

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 organization 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 a 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 the 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 a Senior ML Ops Engineer in the Generative AI (GenAI) space, you will play a pivotal role in integrating and deploying models within the cloud alongside our other software assets. You will monitor costs and key performance indicators (KPIs) such as usage, latency, and service provisioning in the cloud to support these models and integrations. As a senior team member, you will oversee and support a team of engineers, which requires experience managing teams and projects, as well as specialization in ML Ops using at least one cloud hyperscaler.

What will you do in this role:

• Integrate and deploy machine learning models in the cloud alongside existing software assets.
• Monitor the costs, usage, latency, and overall performance of deployed models and cloud services.
• Support engineering teams’ requests for model, service, and endpoint provisioning and modification.
• Provision cloud services that support model deployments and integrations.
• Manage and support a team of engineers, fostering collaboration, growth, and success.
• Utilize your specialization and experience to optimize model performance and cloud operations.
• Stay up-to-date with advancements in machine learning and cloud technologies.

 What Should you have:

• Bachelor’s degree in Information Technology, Computer Science, or any technology stream.
• 5+ years of experience in cloud deployment and machine learning operations.
• Experience with machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Keras, and NumPy).
• Experience with Natural Language Processing (NLP) and Generative AI.
• Strong analytical and problem-solving abilities.
• Effective communication and interpersonal skills to liaise with cross-functional teams.
• Experience in managing and leading engineering teams.
• Expertise in DevOps Practices (CI/CD, IaaC)
• Expertise in cloud computing, resource deployment and management best practices
• Experience in data analysis, structures, and data ingestion models using cloud services
• Exposure to service-oriented architecture concepts
• Experience in Agile Ways of Working and delivery (Scrum, Kanban, Test Driven Development etc.)
• Experience in managing Software Development Lifecycle (SDLC) principles

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.

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.

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:

04/18/2025

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