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.
Experienced Azure MLOps Engineer to join our team. In this role, you will work closely with our data science team to create, manage, and optimize machine learning systems using the Azure cloud and its Machine Learning toolkit. You will be in charge of designing, constructing, and maintaining the Machine learning pipelines that allows our data scientists to develop, deploy, and monitor predictive models in Azure.
Join agile cross functional data team that will allow you to collaborate with data scientists and build pipelines that cater to these needs.
Design, construct, and manage Azure machine learning pipelines enabling swift and reliable training, deployment and scoring of models.
Utilize Azure monitoring tools to oversee model performance, ensuring models retain their accuracy and reliability.
Maintain and enhance our model deployment process within Azure, ensuring models are correctly versioned and can be easily rolled back if required.
Collaborate with the data platform team to create a feedback loop and improve the underlying data infrastructure
Educate and train team members on Azure MLOps principles and best practices.
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. Master’s degree or PhD would be a plus.
Proven experience as an MLOps Engineer, Data Engineer, or similar role in a data-focused environment.
Deep knowledge and practical experience with Azure cloud platform, Azure Machine Learning, and other Azure AI services.
Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and understanding of machine learning concepts.
Experience with data pipeline and workflow management tools, specifically in the Azure environment (Azure Data Factory, Azure Pipelines).
Proficiency in Python and SQL, familiarity with other programming languages is a plus.
Strong problem-solving skills, attention to detail, and an ability to think critically and creatively.
Excellent communication skills with the ability to explain complex technical concepts to a non-technical audience.
Tech Stack: Azure cloud, azure data factory, azure machine learning
At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements.
The annual base salary for this position ranges from $85,500 to $175,700. The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate’s qualifications, skills, competencies, and proficiency for the role.
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.
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.