MSD Senior Manager ML Engineering 

India, Telangana, Hyderabad 

455537210

Job Description

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.

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:

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

• Identify issues related to software development activities. Propose practical solutions to resolve issues.

• Design system components using appropriate modeling techniques following agreed architectures, design standards, patterns, and methodology. Identify and evaluate alternative design options and trade-offs.

• Create multiple design views to address the concerns of the different stakeholders and to handle functional and non-functional requirements.

• Produce detailed design specifications to form the basis for the construction of systems. Review, verify, and improve own designs against specifications.

• Produce software builds from software source code for loading onto target hardware. Configure the hardware and software environment as required by the system being integrated. Produce integration test specifications, conduct tests and record and report on outcomes.

• Perform basic risk assessments for small information systems. Contribute to the identification of risks that arise from potential technical solution architectures. Suggest alternate solutions or countermeasures to mitigate risks.

• Design test cases and test scripts under own direction, mapping back to pre-determined criteria, recording and reporting test outcomes.

• Elicit requirements for systems and software life cycle working practices and automation. Prepare design options for the working environment of methods, procedures, techniques, tools, and people.

• Undertake complete design of moderately complex software applications or components. Specify user and/or system interfaces. Assist as part of a team in the design of components of larger software systems.

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

What Should you have:

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

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

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

• Experience with data preprocessing, feature engineering, and model selection.

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

• Deep understanding of machine learning algorithms and principles.

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

• Experience 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.

What we look for:

Current Contingent Workers apply

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

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