Senior MLOPS Engineer

Key Responsibilities

• Data Architecture Design : Lead the design and implementation of scalable data architectures that support both data processing and machine learning workflows.
• ETL Development : Develop and manage ETL (Extract Transform Load) processes to ensure efficient data ingestion cleaning and transformation for machine learning applications.
• Model Development : Collaborate with data scientists to design build and deploy machine learning models that address business needs and improve operational efficiency.
• Performance Monitoring : Monitor the performance of data pipelines and machine learning models in production making necessary adjustments to optimize performance and accuracy.
• Team Leadership : Mentor and guide a team of data engineers and machine learning engineers fostering a collaborative environment focused on continuous improvement.
• Cross-Functional Collaboration : Work closely with product managers software engineers UI / UX and other stakeholders to align data initiatives with business objectives.

Required Skills

Qualifications : B.E

Additional Information :

7 - 9 Years

Remote Work : No

Employment Type : Full-time

Key Skills

APIs,C / C++,Computer Graphics,Go,React,Redux,Node.js,AWS,Library Services,Assembly,GraphQL,High Voltage

Experience : years

Vacancy : 1