MLOPS @ Omega Healthcare

Job Description

Total Experience Required: 5 to 8 Years Location: Bangalore Work Mode: Hybrid Notice Period: Immediate Joiner (we are looking for a candidate with 6+ years of experience in Machine Learning OPs who can join us in immediately) Minimum Years of experience 5 to 8 Years in Machine Learning Ops. (Python, Machine Learning, Mlflow, Git, Docker, Apache Airflow, Azure Machine learning, PySpark, DataBricks) Design, develop and deploy ML platform and analytics applications for BrewVision platform 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, DataBricks Good to have knowledge on Docker, Kubernetes, GitHub pipelines. Interested aspirants can apply or for a quick response please share your resume to the below-mentioned mail ID: hidden_email

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: Application Programming / Maintenance
Functional Area: Not Applicable
Role/Responsibilies: MLOPS

+ View Contact

Keyskills:   Python Machine Learning Git Docker Data Structures Object oriented programming Docker Kubernetes Mlflow Apache Airflow Azure Machine learning PySpark DataBricks FastApi Deep Learning algorithms GitHub pipelines