Senior Manager

0 years

0 Lacs

Posted:22 hours ago| Platform: Linkedin logo

Apply

Work Mode

On-site

Job Type

Full Time

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

Mock Interview

Practice Video Interview with JobPe AI

Start PySpark Interview
cta

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

coding practice

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now
EXL logo
EXL

Business Process Management / Analytics

New York

RecommendedJobs for You

Noida, Uttar Pradesh, India

Gurgaon, Haryana, India

Gurgaon, Haryana, India