MSD Biomarker Program Manager 

Vietnam, Ho Chi Minh City 

441417390

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:

• 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.

Current Contingent Workers apply

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

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