MLOPS Manager

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Key Responsibilities:

Establish and manage infrastructure on cloud platforms such as AWS and GCP tailored for machine learning workloads.
Work alongside data scientists to seamlessly integrate machine learning components into applications and services
Develop comprehensive end-to-end machine learning pipelines, incorporating tools and services for data preprocessing, model training, and deployment.
Create and maintain automated workflows for continuous integration and continuous deployment (CI/CD) of machine learning models.
Deploy machine learning models into production environments and manage their lifecycle, ensuring they remain efficient and effective.
Set up monitoring solutions to track model performance, detect data drift, and capture other relevant metrics to ensure ongoing model accuracy and reliability.
Work closely with data scientists to understand model requirements and contribute to model development and optimization efforts.
Keep abreast of the latest advancements in MLOps tools and technologies, recommending and implementing improvements to enhance existing workflows.
Incorporate cloud cost management strategies to optimize machine learning workloads, ensuring cost efficiency without compromising performance.

Role Proficiencies:

Must have delivered one or more data science product(s) in production.
Technically able to build and manage data and deployment pipelines.
Proficiency with AWS services
Strong Problem Solving skill set
Strong communication and interpersonal skills
Should have a fair understanding of ML algorithms
Proficiency in following technologies: - FastAPI - Docker - AWS services (S3, EC2, Sagemaker, Lambda, AppRunner, ECR, ECS, Cloudwatch)

Experience:
2 - 7 Years
Salary:
20 LPA - 25 LPA
Diversity Candidate:
Yes
Location:
Delhi
Address:
Delhi
Primary Skills:
Mlops, ML Algorithms, AWS services, ML pipelines, MLOP tools, docker, Fast API
Industry:
Information Technology/IT
Job Type:
Full time
Degree:
Bsc, Msc, B.tech, Mtech, BCA, MCA