Job Description

ManagerEXL/M/1463946


ServicesGurgaon
Posted On
02 Sep 2025
End Date
17 Oct 2025
Required Experience
5 - 10 Years



Basic Section
Number Of Positions


2


Band


C1


Band Name


Manager


Cost Code


D901098


Campus/Non Campus


NON CAMPUS


Employment Type


Permanent


Requisition Type


New


Max CTC


1800000.0000 - 3200000.0000


Complexity Level


Not Applicable


Work Type


Hybrid - Working Partly From Home And Partly From Office


Organisational
Group


Analytics


Sub Group


Retail Media & Hi-Tech


Organization


Services


LOB


Retail Media & Hi-Tech


SBU


Analytics


Country


India


City


Gurgaon


Center


EXL - Gurgaon Center 38




Skills
Skill


MACHINE LEARNING


DEVOPS


ANALYTICS


Minimum Qualification


ANY GRADUATE


Certification


No data available

MLOps

We are looking for a highly skilled

Analytics & Data Engineering professional

with a strong background in

Machine Learning, MLOps, and DevOps

. The ideal candidate will have experience designing and implementing scalable data and analytics pipelines, enabling production-grade ML systems, and supporting

agent-based development

leveraging

MCP/OpenAPI to MCP wrapper

and

A2A protocols

. This role combines hands-on technical work with solution design, and will require close collaboration with data scientists, product teams, and engineering stakeholders.

Key Responsibilities

Design, build, and maintain scalable

data pipelines

and

ETL/ELT processes

for analytics and ML workloads. Implement

MLOps frameworks

to manage model lifecycle (training, deployment, monitoring, and retraining). Apply

DevOps best practices

(CI/CD, containerization, infrastructure as code) to ML and data engineering workflows. Develop and optimize data models, feature stores, and ML serving architectures. Collaborate with AI/ML teams to integrate models into production environments. Support

agent development

using

MCP/OpenAPI to MCP wrapper

and

A2A (Agent-to-Agent)

communication protocols. Ensure data quality, governance, and compliance with security best practices. Troubleshoot and optimize data workflows for performance and reliability.

Required Skills & Experience

Core

: + 6+ years in

analytics and data engineering

roles.
+ Proficiency in SQL, Python, and data pipeline orchestration tools (e.g., Airflow, Prefect).
+ Experience with distributed data processing frameworks (e.g., Spark, Databricks).

ML/MLOps

: + Experience deploying and maintaining ML models in production.
+ Knowledge of MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI, etc.).

DevOps

: + Hands-on experience with CI/CD (Jenkins, GitHub Actions, GitLab CI).
+ Proficiency with Docker, Kubernetes, and cloud-based deployment (AWS, Azure, GCP).

Specialized

: + Experience with

MCP/OpenAPI to MCP wrapper

integrations.
+ Experience working with

A2A protocols

in agent development.
+ Familiarity with agent-based architectures and multi-agent communication patterns.

Preferred Qualifications

Master's degree in Computer Science, Data Engineering, or related field. Experience in

real-time analytics

and

streaming data pipelines

(Kafka, Kinesis, Pub/Sub). Exposure to

LLM-based systems

or intelligent agents. Strong problem-solving skills and ability to work in cross-functional teams.
Workflow
Workflow Type


L&S-DA-Consulting