AI/ML Lead — Databricks & MLOps Architect

Persistent Systems

Los Angeles (CA)

On-site

USD 180,000 - 240,000

Full time

14 days+
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Benefits offered by this job

Competitive salary and benefits package
Quarterly promotion cycles
Company-sponsored education and certifications
Annual health check-ups
Flexible work hours

Job summary

A technology consulting firm is looking for an experienced AI/ML Lead to develop and optimize machine learning models using Databricks and drive data-driven decision-making. The ideal candidate should have over 12 years of experience in data science, strong analytical skills, and the ability to collaborate with cross-functional teams. This full-time position emphasizes working with large datasets and modern analytics frameworks, offering competitive salary and opportunities for professional growth.

Qualifications

  • 12+ years of experience in data science or a related field.
  • Proven track record of developing and optimizing machine learning models.
  • Experience with MLOps frameworks and cloud environments.

Responsibilities

  • Develop, train, and optimize machine learning models using Databricks.
  • Perform exploratory data analysis to identify trends and patterns.
  • Deploy ML models into production using MLOps pipelines.
  • Conduct A/B testing and other analytical techniques as needed.
  • Build scalable ETL/ELT pipelines using PySpark and SQL.

Skills

Hands-on experience in Databricks
Strong analytical capabilities
Experience building scalable data pipelines
Machine learning model deployment
Collaboration with cross-functional teams

Tools

Databricks
Python
PySpark
MLflow
Delta Lake

Job description

A technology consulting firm is looking for an experienced AI/ML Lead to develop and optimize machine learning models using Databricks and drive data-driven decision-making. The ideal candidate should have over 12 years of experience in data science, strong analytical skills, and the ability to collaborate with cross-functional teams. This full-time position emphasizes working with large datasets and modern analytics frameworks, offering competitive salary and opportunities for professional growth.
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