AI/ML Lead

This job has been expired

Job Title: AI/ML Lead

Location: (Alpharetta, GA / Plano, TX /Onsite)

Employment Type: C2C

Rate: $67/hr max

H1Bs only (LinkedIn & Passport number is mandatory)

Need 12+ years of exp

 

 

Job Summary:

Bread Financial is seeking an experienced AI/ML Lead to lead the development, deployment, and optimization of machine learning solutions. This role demands deep expertise in Azure Databricks, Python, and AWS, along with hands-on MLOps experience and a proven ability to lead teams through the end-to-end ML lifecycle. The ideal candidate will bring strong technical leadership and a passion for building scalable, production-grade ML solutions.

 

Key Responsibilities:

  • Lead the design, development, and deployment of scalable ML solutions across Azure and AWS environments.
  • Guide a team of data scientists, ML engineers, and MLOps specialists through full project lifecycles.
  • Build and optimize ML pipelines in Azure Databricks, incorporating best MLOps practices.
  • Work closely with business stakeholders and product managers to define project goals and deliver impactful AI/ML models.
  • Oversee model versioning, monitoring, and governance in production environments.
  • Collaborate with cloud engineering and data platform teams to ensure smooth integration and scalability.
  • Implement CI/CD pipelines for ML workflows and ensure reproducibility and compliance.
  • Stay current with advancements in AI/ML and identify opportunities to apply them to business problems.

 

Required Skills & Qualifications:

  • Bachelor’s or Master’s in Computer Science, Data Science, or a related field.
  • 10+ years of experience in AI/ML engineering, including 2+ years in a leadership role.
  • Strong hands-on experience with Azure Databricks, Python, and AWS.
  • Deep understanding of MLOps practices, tools (e.g., MLflow, Airflow, SageMaker), and deployment strategies.
  • Proven ability to build end-to-end ML pipelines and manage models in production.
  • Experience leading cross-functional teams and mentoring junior engineers.
  • Familiarity with containerization (Docker), version control (Git), and cloud security standards.

 

Preferred Skills:

  • Experience with data lake architectures (Delta Lake, S3, etc.)
  • Exposure to model explainability and governance frameworks
  • Strong communication skills and experience working with business stakeholders
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