Senior Manager

7 - 10 years

5 - 10 Lacs

Posted:18 hours ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

Senior Manager

EXL/SM/1408721

    ServicesGurgaon
    Posted On
    01 Jul 2025
    End Date
    15 Aug 2025
    Required Experience
    7 - 10 Years

Basic Section

Number Of Positions

3

Band

C2

Band Name

Senior Manager

Cost Code

D014126

Campus/Non Campus

NON CAMPUS

Employment Type

Permanent

Requisition Type

New

Max CTC

2500000.0000 - 3200000.0000

Complexity Level

Not Applicable

Work Type

Hybrid – Working Partly From Home And Partly From Office

Organisational

Group

Analytics

Sub Group

Analytics - UK & Europe

Organization

Services

LOB

Analytics - UK & Europe

SBU

Analytics

Country

India

City

Gurgaon

Center

EXL - Gurgaon Center 38

Skills

Skill

AZURE DATABRICKS

MACHINE LEARNING

PYSPARK

Minimum Qualification

ANY GRADUATE

Certification

No data available

Job Description

We are seeking a dynamic professional with strong experience in Databricks and Machine Learning to design and implement scalable data pipelines and ML solutions. The ideal candidate will work closely with data scientists, analysts, and business teams to deliver high-performance data products and predictive models.

Key Responsibilities:

  • Design, develop, and optimize data pipelines using Databricks, PySpark, and Delta Lake
  • Build and deploy Machine Learning models at scale
  • Perform data wrangling, feature engineering, and model tuning
  • Collaborate with cross-functional teams for ML model integration and monitoring
  • Implement MLflow for model versioning and tracking
  • Ensure best practices in MLOps, code management, and automation

Must-Have Skills:

  • Hands-on experience with Databricks, Spark, and SQL
  • Strong knowledge of ML algorithms, Python (Pandas, Scikit-learn), and model deployment
  • Familiarity with cloud platforms (Azure / AWS / GCP)
  • Experience with CI/CD pipelines and ML lifecycle management tools

Good to Have:

  • Exposure to data governance, monitoring tools, and performance optimization
  • Knowledge of Docker/Kubernetes and REST API integration

Workflow

Workflow Type

L&S-DA-Consulting

Mock Interview

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