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6.0 - 11.0 years

35 - 50 Lacs

Bengaluru

Hybrid

Position - MLOPS Engineer / Lead Experience - 5 to 15 years Location - Bangalore 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. Cross-Functional 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

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