Senior Specialist, ML Ops Engineering

Job Description

Machine Learning Engineer (MLOps) Technical Lead, Data Science and Scientific Informatics

The Data Science and Scientific Informatics Team at Research and Development Sciences IT (RaDS-IT) of our company is seeking a Lead Machine Learning Engineer for MLOps. The successful candidate will engage in exploration, design, and implementation of features to support new MLOps use cases for a growing and diverse range of models and platforms. This role will involve the deployment and operationalization of machine learning models across multiple domains, ensuring that our analytics capabilities are robust and scalable.

Responsibilities :

• Serve as MLOps representative to stakeholders and lead discussions with them.
• Participate in MLOps technical strategy discussions and lead implementation.
• Execute on MLOps strategy and architectural decisions.
• Make key technical decisions independently.
• Lead other technical team members and oversee development work.
• Collaborate with data scientists, software engineers, and product teams to design, implement, and maintain production-level machine learning pipelines and workflows.
• Develop and automate processes for data preprocessing, feature engineering, model training, and evaluation to enhance the reliability and scalability of machine learning applications.
• Utilize MLOps principles to streamline the model deployment process, ensuring models are easily retrainable and maintainable as new data becomes available.
• Monitor and evaluate model performance in a production environment, while ensuring compliance with industry standards and best practices.
• Prepare and present findings and developments to internal stakeholders, contributing to strategic decision-making and operational improvements in MLOps.
• Stay current with industry trends and best practices in machine learning, data engineering, and MLOps, and actively contribute to the innovation of methodologies within the team.

Required Experience and Skills :

Preferred Experience and Skills (not all required) :

US and Puerto Rico Residents Only : Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities.

We are an Equal Employment Opportunity Employer, providing equal opportunities to all employees and applicants for employment and prohibiting discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.

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