Lead AI/ML Software Engineer

  • Plano, Texas
  • Posted 16 days ago | Updated 16 days ago

Overview

On Site
Depends on Experience
Full Time
Able to Provide Sponsorship

Skills

Amazon Web Services
Artificial Intelligence
Cloud Computing
Code Refactoring
Collaboration
Conflict Resolution
Continuous Delivery
Continuous Integration
Databricks
Google Cloud
Google Cloud Platform
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Management
Microsoft Azure
Orchestration
Problem Solving
PySpark
Python
Real-time
SQL
Scalability
Snow Flake Schema
Software Development
Software Development Methodology
Software Engineering

Job Details


Job Title: Lead AI/ML Software Engineer
Location: Plano, TX
Job Type: Full-Time
Experience: 10+ Years

Job Summary:

We are seeking a Lead AI/ML Software Engineer to design, implement, and scale AI/ML systems that deliver real-time insights to multiple customers. In this role, you will apply state-of-the-art MLOps techniques to ensure the performance, reliability, and scalability of our machine learning models and data pipelines. You will work closely with cross-functional teams to build and optimize AI solutions that drive business impact.

Key Responsibilities:

Own the inference and delivery of machine learning insights to multiple customers.
Manage, monitor, and scale ML systems, ensuring high performance and availability.
Oversee model and data orchestration, driving efficiency and reliability through profiling, refactoring, and advanced engineering.
Develop and optimize data pipelines to enhance ML model usage and real-time insights.
Collaborate with the technical team to scope engineering milestones, provide updates, and address challenges.
Implement MLOps best practices, including model monitoring, drift detection, and event-based model retraining.

Qualifications & Experience:
Bachelor s degree in computer science or a related quantitative field.
10+ years of experience in software engineering and software development life cycle (SDLC).
5+ years of experience with PySpark or SQL.
4+ years of experience deploying ML models in cloud environments (Azure, AWS, or Google Cloud) using Python.
3+ years of experience with CI/CD tools for deploying production-ready AI/ML models.
Hands-on experience with Databricks, AzureML, Snowflake, or related technologies.
Expertise in MLOps, including model monitoring, drift detection, and automated retraining.
Strong problem-solving skills and ability to work in fast-paced, cross-functional teams.
[If applicable] Employees working remotely must comply with company s Telecommuter Policy.

If you re passionate about building scalable AI/ML solutions and leveraging cutting-edge MLOps technologies, we d love to hear from you. Reachout to

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