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Job Role : AI ML Ops Engineer
Job Type : Hybrid
Job Location : GDL / QRO / MTY / CDMX
Experience : Minimum 3 years
Responsibilities
- At least 3 years of experience in addressing practical machine learning challenges, particularly with Recommender Systems, to enhance user efficiency, reliability, and consistency.
- A profound comprehension of data processing, machine learning infrastructure, and DevOps / MLOps practices.
- A minimum of 2 years of experience with cloud technologies (AWS SageMaker, AWS is preferred), including services, networking, and security principles.
- Direct experience in machine learning and orchestration, developing intricate multi-tenant machine learning products.
- Proficient Python programming skills, SQL, and data modeling expertise, with DBT considered a plus
Qualifications
Must Have Skills : Python, Pandas, ML Ops, AWS Sagemaker, AWS Bedrock, Scikit-learn, SQLJob Details
Seniority level : Mid-Senior levelEmployment type : Full-timeJob function : Information Technology, Consulting, and Business DevelopmentIndustries : IT Services and IT Consulting, Software Development, and Data Infrastructure and AnalyticsReferrals increase your chances of interviewing at Tata Consultancy Services by 2x
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