Senior MLOPS Engineer
Senior MLOPS Engineer
Posted on :
26-04-2025
Employer Active
1 Vacancy
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Job Description
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.
- CrossFunctional Collaboration: Work closely with product managers software engineers UI/UX and other stakeholders to align data initiatives with business objectives.
Required Skills
- Technical Proficiency: Strong programming skills in languages such as Python; experience with big data technologies is essential.
- Machine Learning Knowledge: Understanding of machine learning algorithms frameworks and best practices for model development and deployment.
- Data Management Expertise: Proficiency in database management systems (SQL and NoSQL) data modeling and ETL tools.
- Cloud Computing Experience: Familiarity with cloud platforms (AWS Google Cloud Azure) for deploying data solutions and machine learning models.
- Leadership Skills: Excellent communication and interpersonal skills to lead teams effectively and collaborate across departments.
Qualifications :
B.E
Additional Information :
7 9 Years
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
Key Skills
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