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Digitide

MLOps Engineer

Digitide
Bengaluru, Karnataka Hybrid
Hybrid Full-Time Bengaluru, Karnataka India

Skills

Git Python (Programming Language) FastAPI Machine Tools Machine Learning GitHub Azure Databricks Deep Learning Machine Learning Algorithms

About the Role

Exp: 4-6 Years
Location: Bangalore - Hybrid

Key Skills: ML Ops
Required Skills: Data engineering, Databricks, Airflow, ML, Python are a must.
Good to have: DevOps, any cloud


Job description:
(Python, Machine Learning, Mlflow, Git, Docker, Apache Airflow, Azure Machine learning, PySpark, DataBricks)
Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications
Deploy machine learning models to production environments, ensuring high availability, scalability, and performance through Airflow pipelines
Set up monitoring systems to track model performance, detect drift, and identify anomalies
Model inferencing with optimized infrastructure using Fast Api and model registry (MLFlow)
Automate pipeline orchestration with development in Apache Airflow
Good knowledge on Machine Learning and Deep Learning algorithms
Data Structures and Object oriented programming skills in python with time and space optimized
Hands on experience with FastApi, MLFlow, Azure Machine learning, DataBrick.
Good to have knowledge on Docker, Kubernetes, GitHub pipelines

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Application Status

Application Draft

In Progress

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Review Process

Expected within 5-7 days

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