Sr ML Engineer MLOps

Sr ML Engineer (AzureML, MLOps) - LATAM / Poland / SerbiaUpdated:
October 9, 2024Location:
Argentina-Latin America - ARG-Home-BasedJob ID:
24002696Syneos 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.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 SUMMARYWe 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 RESPONSIBILITIESCollaborate 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.QualificationsQUALIFICATION REQUIREMENTSA 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.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.The annual base salary (US Only) for this position ranges from $102,600 to $178,600.
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 HealthOver 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.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 .
The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above.At Syneos Health, we are dedicated to building a diverse, inclusive and authentic workplace.
If your past experience doesn't align perfectly, we encourage you to apply anyway.
At times, we take into consideration transferable skills from previous roles.
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