Sr ML Engineer- Hyderabad (Hybrid)

Sr ML Engineer- Hyderabad (Hybrid) Syneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress.   Every day we perform better because of how we work together, as one team, each the best at what we do. We bring together talented experts across a broad spectrum of business critical corporate functions. Every role plays an essential part in enabling our customers to achieve their goals. Our teams are agile, collaborative, and committed to delivering—for each other, for our customers, and ultimately for the people who rely on the services we support. Discover what your 25,000 future colleagues already know:   Why Syneos Health • We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program. • We are committed to building an inclusive culture – where you can authentically be yourself. Central to this is our purpose – Driven to Deliver – which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone’s life.  • We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress. 

Job Responsibilities

The Sr ML Engineer will architect and oversee the development of advanced machine learning models and MLOps infrastructure to support large-scale deployments. This role will ensure adherence to best practices in model versioning, experimentation, and deployment automation. Designing and implementing scalable and reliable MLOps pipelines, including integration with cloud platforms and data systems, will be key responsibilities. The Sr ML Engineer will evaluate and enhance model performance through advanced model management and monitoring techniques. Leading cross-functional projects, providing technical expertise, and strategic direction to enhance ML operations will be central to this role.

Job Responsibilities Architect and oversee the development of complex machine learning models and MLOps infrastructure.

Ensure best practices in model versioning, experimentation, and deployment.

Design scalable and reliable MLOps pipelines, integrating with cloud platforms.

Evaluate and enhance model performance using advanced techniques.

Lead cross-functional projects, providing technical expertise and strategic direction.

Develop strategies for model lifecycle management and operational efficiency.

Collaborate with product teams to align ML solutions with business objectives.

Conduct research and stay updated on emerging trends and technologies in ML engineering and MLOps.

Qualification Requirements Basic Qualifications Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.

Proven track record in architecting and implementing complex ML systems.

Deep understanding of advanced ML techniques and methodologies.

Experience with cloud-based ML and data platforms.

Proficiency in designing scalable ML pipelines and workflows.

Strong problem-solving skills and ability to lead technical projects.

Effective communication skills for presenting technical findings to stakeholders.

Preferred Qualifications Master's degree or higher in a relevant field.

Experience with cutting-edge MLOps tools and frameworks.

Contributions to open-source ML tools or libraries.

Experience with large-scale distributed ML systems.

Publications in reputable ML journals or conferences.

Advanced knowledge of emerging technologies and trends in ML.

Experience with strategic planning and execution of ML initiatives.

Get to know Syneos Health

Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.

No matter what your role is, you’ll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health.   http://www.syneoshealth.com

Additional Information

Tasks, duties, and responsibilities as listed in this job description are not exhaustive.  The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above.   Further, nothing contained herein should be construed to create an employment contract.  Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees.  The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.