ML Engineer

1 month ago


Bengaluru, India Saaki Argus & Averil Consulting Full time
Key Responsibilities:Design and implement MLOps pipelines using tools and frameworks.Design, develop, and implement data pipelines and engineering infrastructure to support enterprise-scale machine learning systems.This could involve tasks such as data ingestion, pre-processing, transformation, feature engineering, and model training.Build CI/CD pipelines using tools like GitLab CI, GitHub Actions, Airflow, or similar solutions to automate the ML lifecycle.Collaborate with data scientists and ML engineers throughout the ML lifecycle.Design and implement cloud-based MLOps solutions using platformsExperience in containerization technologiesExperience deploying and maintaining various types of machine learning models in productionPerform data science model reviews, including code refactoring and optimization, containerization, deployment, versioning, and monitoring of the model's quality.Support data model development, with a focus on auditability, versioning, and data security.

Qualifications:Total

7+ years

of work experience ,

3+ years in MLOpsStrong expertise in GenAI, advanced NLP, computer vision, and ML techniques.Experience in designing, developing, and deploying production-grade AI solutions.Excellent communication and collaboration skills. Ability to work independently and as part of a team.

Location:Bangalore/Hyderabad


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