AI Engineer Lead

  • Posted 2 hours ago | Updated 2 hours ago

Overview

Remote
Depends on Experience
Contract - Independent
Contract - W2
Contract - 1 Year(s)

Skills

Microsoft Azure
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Good Clinical Practice
Data Science
Databricks
Natural Language Processing
Large Language Models (LLMs)
Deep Learning
Continuous Delivery
Continuous Improvement
Continuous Integration
Cloud Computing
Amazon Web Services
Apache Hadoop
Apache Spark
Google Cloud Platform
Management
Mentorship
Open Source
PyTorch
Computer Vision
Data Engineering
Generative Artificial Intelligence (AI)
Leadership
Artificial Intelligence
Big Data
Collaboration
Communication
Computer Science
Python
Research
Roadmaps
Stakeholder Management
Team Leadership
TensorFlow
Training
scikit-learn

Job Details

Job Description: AI Engineer Lead

Remote

About the Role

We are seeking an experienced AI Engineer Lead to drive the design, development, and deployment of advanced AI solutions across our organization. As a technical leader, you will guide a team of AI/ML engineers, collaborate with cross-functional stakeholders, and ensure the delivery of high-quality, scalable, and impactful AI systems that align with business objectives.

Key Responsibilities

Leadership & Strategy

Lead, mentor, and grow a team of AI and machine learning engineers.

Define the technical vision and roadmap for AI initiatives.

Partner with product, data, and engineering leaders to identify opportunities where AI can add value.

AI/ML Development

Design, build, and deploy scalable machine learning and deep learning models.

Oversee the full lifecycle of AI solutions: research, experimentation, implementation, and production.

Ensure model performance, reliability, and ethical AI practices.

Architecture & Systems

Define and enforce best practices for ML pipelines, MLOps, and model governance.

Drive adoption of modern AI frameworks, tools, and cloud-based solutions.

Optimize infrastructure for model training, inference, and monitoring.

Collaboration & Communication

Act as a bridge between technical and non-technical stakeholders.

Translate complex AI concepts into actionable business insights.

Advocate for responsible AI use and continuous improvement.

Qualifications

Bachelor s or Master s degree in Computer Science, Data Science, AI/ML, or related field (PhD preferred).

7+ years of experience in AI/ML engineering, with at least 2+ years in a leadership role.

Strong expertise in machine learning, deep learning, NLP, computer vision, or generative AI.

Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn.

Hands-on experience with MLOps, CI/CD, and cloud platforms (AWS, Azure, Google Cloud Platform).

Proven track record of leading teams and delivering production-grade AI solutions.

Strong communication, leadership, and stakeholder management skills.

Preferred Skills

Experience with large language models (LLMs) and generative AI applications.

Knowledge of data engineering and big data frameworks (Spark, Hadoop, Databricks).

Familiarity with model governance, fairness, and explainability frameworks.

Contributions to open-source AI/ML projects.

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.

About radient.ai