Lead Assistant Manager

EXL

0 years

0 Lacs

noida uttar pradesh india

Posted:1 day ago| Platform:

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Skills Required

learning python sql automation design ml data composer docker kubernetes model training devops integration gcp orchestration github jenkins api development flask

Work Mode

On-site

Job Type

Full Time

Job Description

: We are looking for a skilled and proactive

Machine Learning Engineer

with a strong foundation in Python and SQL, and hands-on experience with modern MLOps tools and practices. You will be responsible for building, deploying, and maintaining scalable machine learning solutions in production environments, leveraging cloud-native technologies and automation pipelines.

Key Responsibilities

Design and implement end-to-end machine learning pipelines.
Develop and deploy ML models using Python and manage data workflows using SQL.
Build and orchestrate workflows using Google Cloud Composer (Airflow).
Containerize applications using Docker and deploy them on Google Kubernetes Engine (GKE).
Set up and manage CI/CD pipelines for automated model training and deployment.
Develop and maintain RESTful APIs to serve ML models in production.
Collaborate with data scientists, data engineers, and DevOps teams to ensure seamless integration and scalability.

Required Skills & Qualifications

Proficiency in Python and SQL for data manipulation and model development.
Experience with Google Cloud Platform (GCP), especially GKE, Composer, and BigQuery.
Strong understanding of MLOps practices and tools.
Hands-on experience with Docker and container orchestration using Kubernetes.
Experience with CI/CD tools (e.g., GitHub Actions, Jenkins, Cloud Build).
Proficiency in API development using frameworks like Flask or FastAPI.
Familiarity with version control systems (e.g., Git).

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