11 ene
Syneos - Clinical and Corporate - Prod
Xico
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**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**:**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
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.