Forward Deployed AI​/ML Engineer Sr

Overview

Are you ready to unlock the power of AI and machine learning to drive business success? We’re seeking a highly skilled AI/ML Engineer to join our team as a trusted technical liaison between our customers and our consulting practice. As a remote member of a dynamic team, you’ll have the opportunity to design, develop, and product ionize machine‑learning solutions that make a real impact.

With high ownership and rapid impact, this role is perfect for a technically‑savvy, business‑oriented individual looking to accelerate their career at the intersection of AI and real‑world business problems.

• Building, testing, and deploying end‑to‑end AI/ML models, pipelines, and API services in the customer’s production environment using Python, SQL, etc.
• Monitoring, troubleshooting, and continuously optimizing deployed solutions to meet performance‑SLA and business KPIs.
• Serving as the primary technical point of contact for the assigned function and acting as the LAIC consulting liaison; translating business requirements into concrete technical designs and articulating model behavior to non‑technical audiences.
• Partnering with data engineers, product managers, and business leaders to integrate AI/ML work into existing workflows and data infrastructure.
• Conducting rapid assessments for current and future opportunities.
• Quickly pivoting to new priorities, evolving requirements, or emerging data sources while maintaining delivery cadence.

• Programming: Python (pandas, scikit‑learn, PyTorch/Tensor Flow) and strong SQL skills.
• ML Frameworks: Experience training, evaluating, and tuning models.
• Software Engineering: Git, unit testing, CI/CD basics, Docker containers.
• Data Science Fundamentals: Basic knowledge of data science or engineering fundamentals.
• Experience: 2‑5 years of professional experience building or deploying AI/ML solutions (consulting, startup, or large enterprise).
• Desired skills: Prior exposure to client‑facing or embedded roles; background in SaaS, customer experience, support operations, or manufacturing systems; experience deploying AI in mission‑critical environments; experience integrating with enterprise systems via APIs or middleware (e.g., Salesforce, Service Now, SAP, Oracle);
  Bachelor’s/Master’s in Computer Science, Electrical Engineering, Statistics, or relevant field; strong query‑writing and data‑wrangling; excellent verbal and written communication; strong stakeholder‑management instincts; experience building and deploying solutions for finance and business (F&B O) customers.

Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.