MSD Hiring! Work from Home Specialist , Gen AI Software Engineering in - Ricebowl

The Opportunity

Based in Hyderabad, this role offers the opportunity to join a leading global biopharmaceutical organization recognized for scientific innovation, ethical leadership, and meaningful impact on global health. You will be part of a digitally enabled organization that brings together data, technology, and scientific expertise to support a broad portfolio of prescription medicines, vaccines, and animal health products.

This role provides the chance to help build high-impact solutions while working with talented teams that use data, analytics, and software engineering to address some of the world’s most important healthcare challenges.

Our Technology Centres provide collaborative environments where teams come together to deliver business solutions that help save and improve lives. As a key part of our IT operating model, these globally connected centres enable digital transformation and drive meaningful business outcomes across the enterprise.

Each Technology Centre is supported by focused leadership teams that foster growth, well-being, operational excellence, and a strong sense of belonging. Together, these teams strengthen global collaboration, encourage the sharing of best practices, and help build resilience across our technology organization.

Role Overview

• Our IT organization partners closely with the business to deliver practical digital solutions that strengthen enterprise capabilities, improve efficiency, and accelerate innovation across R&D.
• In this role, you will help design, develop, test, and support generative AI solutions integrated with enterprise R&D applications.
• You will contribute to production-grade AI solutions, data pipelines, and application features while collaborating with engineers, data scientists, and product teams to deliver secure, scalable, and compliant capabilities in a regulated environment.

What you will do :

• Build a strong understanding of the company’s biopharmaceutical R&D business processes, systems, and data, with particular focus on clinical, regulatory, and pharmacovigilance domains.
• Collaborate with cross-functional stakeholders, including business technology partners, product managers, data scientists, and software engineers, to understand requirements and support solution delivery.
• Contribute to a team culture grounded in learning, curiosity, collaboration, and continuous improvement.
• Stay current with emerging tools, technologies, and industry trends, and share relevant insights with the broader team.
• Apply established architecture principles, engineering standards, and development best practices while building and supporting solutions.
• Create and maintain technical documentation, reusable assets, and implementation patterns that improve consistency and delivery quality.
• Design, develop, test, and support generative AI solutions, including LLM-based and retrieval-augmented capabilities, for regulatory document authoring use cases.
• Apply prompt engineering techniques, templates, and evaluation methods to improve model quality, safety, and performance.
• Support retrieval capabilities such as vector search and semantic search in collaboration with senior team members.
• Help build AI-enabled workflows and application features using LLMs, prompts, guardrails, and enterprise integrations to support critical business processes.
• Build and maintain data pipelines and ETL processes that support scalable and reliable AI solutions.
• Integrate AI models and services into enterprise applications and backend systems, including APIs and microservices.
• Support model deployment, monitoring, and operational processes in partnership with senior engineers.
• Ensure adherence to data quality, privacy, security, and compliance requirements across model training and inference workflows.
• Partner with product, UX, and cross-functional teams to translate business requirements into dependable, production-ready features.
• Contribute to team best practices, testing standards, documentation, and knowledge-sharing initiatives.

What Should you have :

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical discipline, or equivalent practical experience.
• 3+ years of software engineering experience with hands-on exposure to AI/ML systems, data engineering, or applied analytics solutions.
• Working knowledge of generative AI concepts and technologies, including LLMs, embeddings, retrieval-augmented generation, and prompt-driven applications.
• Strong proficiency in Python and familiarity with machine learning frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, or equivalent tools.
• Experience building or supporting data pipelines and working with both structured and unstructured data.
• Familiarity with vector databases, semantic search, or related retrieval approaches.
• Understanding of model deployment, monitoring, and MLOps concepts.
• Solid backend development skills, including experience with APIs and service-oriented application design.
• Exposure to cloud platforms such as AWS and container technologies such as Docker or Kubernetes.
• Understanding of data governance, privacy, and the secure handling of sensitive datasets.
• Proficiency with Git and collaborative software development practices.
• Strong communication, problem-solving, and cross-functional collaboration skills.

Primary Skills: SDLC,LLM, Software development, AI/ML,Python Pytorch/Hugging Face Transformers.

Secondary Skills: Reactfor AI,Pharma/clinical. Pharacovigilance exp.

Preferred Qualifications

• Experience in the pharmaceutical, clinical, regulatory, or pharmacovigilance domains is an advantage.
• Exposure to prompt evaluation, testing, model quality assessment, or responsible AI practices is a plus.
• Experience with front-end technologies such as TypeScript or React for AI-enabled applications is desirable.

Our technology teams operate as strategic business partners, delivering innovative solutions that expand organizational capabilities, improve productivity, and accelerate innovation across the enterprise.

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, advancing medicines and vaccines to help address some of the world’s most challenging diseases. Today, we continue to lead through research, innovation, and a steadfast commitment to improving the health and well-being of people and animals worldwide.

What we look for

Imagine starting each day knowing your work can help save and improve lives around the world. Here, you will have the opportunity to apply your creativity, technical expertise, and problem-solving skills alongside a diverse and talented global team. If you are intellectually curious, collaborative, and motivated to make a meaningful impact, we invite you to join us and help shape the future of healthcare innovation.

#HYDIT2025

Required Skills:

Amazon Web Services (AWS), Animal Vaccination, Business Processes, Cross-Functional Collaboration, Data Engineering, Data Governance, Data Pipelines, Data Visualization, Design Applications, Enterprise Systems Integration, Generative AI, Information Technology Operations, Semantic Search, Software Configurations, Software Development, Software Development Life Cycle (SDLC), Solution Architecture, System Designs, System Integration, Technical Writing Documentation, Testing, TypeScript

Preferred Skills:

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):

Job Posting End Date:

06/3/2026

• 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:R397599