Job Description

Lead Assistant ManagerEXL/LAM/1476409


ServicesNoida
Posted On
09 Sep 2025
End Date
24 Oct 2025
Required Experience
3 - 8 Years



Basic Section
Number Of Positions


2


Band


B2


Band Name


Lead Assistant Manager


Cost Code


D010387


Campus/Non Campus


NON CAMPUS


Employment Type


Permanent


Requisition Type


New


Max CTC


800000.0000 - 2200000.0000


Complexity Level


Not Applicable


Work Type


-


Organisational
Group


Analytics


Sub Group


Healthcare


Organization


Services


LOB


Healthcare Analytics


SBU


Analytics


Country


India


City


Noida


Center


Noida-SEZ BPO Solutions




Skills
Skill


MACHINE LEARNING


PYTHON


SQL


APPLICATION COMPATIBILITY TOOL KIT


GOOGLE CLOUD


CODE COMPOSER


DOCKER


CI/CD INTEGRATION


API DESIGN


Minimum Qualification


BCA


Certification


No data available

: 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).
Workflow
Workflow Type


L&S-DA-Consulting