Lead AI/ML Engineer Automation & Enablement (Data Scientist)

Dallas, TX, US • Posted 1 hour ago • Updated 41 minutes ago
Contract W2
Contract Corp To Corp
Contract Independent
6 Months
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • LinkedIn
  • JD
  • Training
  • IT Management
  • Generative Artificial Intelligence (AI)
  • Software Development Methodology
  • Development Testing
  • Production Support
  • Cloud Computing
  • Microsoft Azure
  • Continuous Integration
  • Continuous Delivery
  • Scalability
  • Lifecycle Management
  • Workflow
  • Artificial Intelligence
  • Natural Language Processing
  • Python
  • Flask
  • Machine Learning (ML)
  • Leadership
  • Analytical Skill
  • Conflict Resolution
  • Problem Solving
  • Effective Communication
  • Adaptability
  • Mentorship
  • Collaboration
  • Oracle UCM
  • SANS
  • OM
  • WebKit
  • IMG

Summary

Requirement:: Lead AI/ML Engineer Automation & Enablement

Location: Phoenix, AZ/ Dallas, TX ONSITE

Duration: Long Term Contract

Interview: Final F2F (Sent Local)

15+ YEARS OF CANDIDATE WITH PROPER WELL MAINTAINED LINKEDIN ARE REQUIRED

JD:

Overview
We are looking for a Lead AI/ML Engineer who can design, build, and operationalize AI driven automation workflows, while also mentoring and training other engineers. This role combines hands on delivery with technical leadership across the full SDLC, from design to cloud deployment.

Key Responsibilities

  • Lead the design and implementation of AI/ML and GenAI based automation workflows (including NLP, LLMs, and RAG where applicable).
  • Own the end to end SDLC: requirements, design, development, testing, deployment, monitoring, and production support.
  • Architect and deploy solutions on cloud platforms (Azure preferred) with proper CI/CD, security, observability, and scalability.
  • Define reference architectures, reusable pipelines, and best practices for AI/ML automation.
  • Actively train, mentor, and upskill team members, enabling broader adoption of AI/ML capabilities across delivery teams.
  • Collaborate with stakeholders to translate business problems into scalable AI driven solutions.

Required Skills & Experience

  • Strong hands on experience in AI/ML engineering, including model development, deployment, and lifecycle management.
  • Experience building automation workflows using AI/ML (e.g., intelligent decisions, predictions, NLP/LLM integration).
  • Solid proficiency in Python and/or modern frameworks (FastAPI/Flask), with experience exposing ML capabilities via APIs.
  • Experience with monitoring, drift detection, and retraining automation.
  • Proven ability to lead technically and train other engineers (not just individual contribution).

Key Competencies:

  • Leadership and ownership mindset
  • Strong analytical and problem-solving skills
  • Effective communication and collaboration
  • Learning agility and adaptability
  • Team mentoring and coordination skills

Navnish kumar

Sr. IT Technical Recruiter

Stellent IT Phone:

Email: navnish
Gtalk: navnishom

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91022079
  • Position Id: 2026-48833
  • Posted 1 hour ago
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