Mlops Engineer

6 days ago


Bangalore City, India LTIMindtree Full time

Please find below JD:Total Experience-5 to 10 YearsJob Location BangaloreSenior MLOps Engineer :Role:Cloud Solutions Design and Implementation:Develop and implement robust cloud solutions for ML applications, including Gen AI, utilizing AWS, Azure, or GCP.Build MLOps pipelines on both cloud and on-premise solutions.CI/CD Pipeline Orchestration:Design and manage CI/CD pipelines using GitLab CI, GitHub Actions, Circle CI, Airflow, or similar tools.Data Pipeline Implementation:Construct efficient data pipelines for both streaming and batch data.Establish and maintain data lakes and feature stores.Data Science Model Lifecycle Management:Review data science models and execute code refactoring, optimization, containerization, deployment, versioning, and continuous monitoring.Conduct testing, validation, and automation of data science models.Collaboration and Documentation:Work closely with a multidisciplinary team of data scientists, data engineers, and architects.Document and communicate processes effectively.Background:Bachelor’s degree + 5 years or Master's degree + 3 years of relevant experience or PhD degree in computer science, electrical engineering, or related field.#EXP(7-15)Practical experience with setting up and managing ML training and data pipelines in production.Solid knowledge in at least a few of the following tools: Docker, Kubernetes, Kubeflow, Airflow, Mesos, SLURM, MLFlow, Metaflow.Experience with data versioning tools like DVC.Familiarity with Infrastructure as Code (IaC) to define and deploy infrastructure.Strong software development skills in Python.Preferred Qualifications:Practical experience with Linux, version control systems (Git), build systems (Make, CMake, Autotools), and code review tools (Gerrit, Gitlab, Bitbucket).Knowledge in C/C++, JavaScript.


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