Description

JOB TITLE:    Sr ML Engineer (MLOps)

Syneos Health is the only fully integrated biopharmaceutical solutions organization purpose-built to accelerate customer success. We lead with a product development mindset, seamlessly connecting our capabilities to add high-value insights to speed therapies to patients and provide practical value to help our customers achieve their objectives.

Every day we perform better because of how we work together, as one team, each the best at what we do. We bring many talented experts together across a wide range of business-critical services that support our business. Every role within Corporate is vital to furthering our vision of Shortening the Distance from Lab to Life®.

Discover what our 30,000 employees, across 110 countries already know: 
WORK HERE MATTERS EVERYWHERE

Why Syneos Health

• #SyneosHealthLife means we’re committed to our Total Self-culture – where everyone can authentically be themselves. Our Total Self-culture is what unites us globally, and we know every person’s unique contributions make a difference.
• We believe our success is a direct result of the people who are driving it – you! We value your dedication to caring for our customers and patients, so we want to focus on taking care of you. That’s why we offer a comprehensive benefits program encompassing your total health - physical, mental, and financial.
• We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives – we’re able to create a place where everyone feels like they belong.
  
  

JOB SUMMARY

We are actively seeking a dedicated Azure MLOps Engineer to play a crucial role in our Data Science team's mission. At Syneos Health, we recognize the pivotal role our MLOps team plays in unlocking the full potential of data science, enabling us to deliver unparalleled value through scalable applications. This role offers the unique opportunity to collaborate with our expert data science team, leading the design, implementation, and optimization of machine learning systems on the Azure cloud platform. Your contributions will be vital in establishing robust ML pipelines that empower our data scientists to efficiently develop, deploy, and monitor predictive models, leveraging the comprehensive tools available in Azure's Machine Learning ecosystem.

JOB RESPONSIBILITIES

- Collaborate within an agile, cross-functional team to understand data scientists' needs and build efficient pipelines in response.

- Develop, maintain, and optimize Azure ML pipelines for quick, dependable model training, deployment, and evaluation.

- Employ Azure's monitoring tools to track model performance, ensuring sustained accuracy and reliability.

- Advance our model deployment strategy within Azure, incorporating best practices for version control and rollback mechanisms.

- Partner with the data platform team to refine our data infrastructure, fostering a productive feedback loop.

- Conduct Azure MLOps training for team members, promoting adherence to industry best practices.

Qualifications

QUALIFICATION REQUIREMENTS 

- A Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field is required. A Master’s degree or PhD is highly desirable.

- Demonstrable experience in an MLOps, Data Engineering, or similar role within a data-centric organization.

- Profound understanding and hands-on experience with the Azure cloud platform, specifically Azure Machine Learning and related AI services.

- Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and foundational machine learning principles.

- Experience with Azure-specific data pipeline and workflow management tools (e.g., Azure Data Factory, Azure Pipelines).

- Proficiency in Python and SQL. Experience with additional programming languages is beneficial.

- Exceptional problem-solving abilities, meticulous attention to detail, and the capacity for innovative thinking.

- Outstanding communication skills, capable of demystifying complex technical subjects for a non-technical audience.

Tech Stack:

- Azure Cloud Services

- Azure Data Factory

- Azure Machine Learning

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.

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.

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