AI Lead Engineer

Delan Associates • Dallas, TX

6d • Remote

About The Position

We are seeking an experienced AI Lead Engineer with a strong background in Artificial Intelligence (AI) and Machine Learning (ML) to drive innovation and lead projects in the field. This role requires deep expertise in various AI domains, including Deep Learning, Generative AI (GenAI), Large Language Models (LLMs), and their practical applications. The ideal candidate will have extensive experience in model development, deployment, and productionization, along with a solid understanding of MLOps principles and cloud platforms. This is a remote position based in Dallas, TX.

Requirements

• 15+ years of experience in Artificial Intelligence (AI) & Machine Learning (ML).
• Deep expertise in Deep Learning, Generative AI (GenAI), and Large Language Models (LLMs).
• Proficiency in Prompt Engineering, Retrieval-Augmented Generation (RAG), Embeddings & Vector Databases, and Fine-tuning LLMs.
• Strong programming skills in Python.
• Experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Solid understanding of Data Preprocessing & Feature Engineering, Model Training, Validation & Evaluation, and Statistics & ML Algorithms.
• Extensive experience with MLOps, including CI/CD Pipelines, Docker, and Kubernetes.
• Experience with REST APIs & Microservices.
• Proficiency in Cloud Platforms (Azure / AWS / GCP).
• Proven experience in AI Model Deployment & Productionization.
• Knowledge of Security, Privacy & Responsible AI practices.
• Strong Problem Solving & Analytical Skills.
• Experience working in Agile/Scrum methodologies.

Nice To Haves

• Retail domain experience
• Experience with Enterprise Transformation projects
• Knowledge of Model Governance
• Stakeholder Management skills
• Excellent Communication Skills

Responsibilities

• Lead the design, development, and implementation of AI/ML solutions, with a focus on Deep Learning, Generative AI, and LLMs.
• Develop and fine-tune LLMs, implement RAG strategies, and work with embeddings and vector databases.
• Oversee the entire ML lifecycle, including data preprocessing, feature engineering, model training, validation, and evaluation.
• Implement and manage MLOps practices, including CI/CD pipelines, Docker, and Kubernetes for model deployment.
• Deploy AI models into production environments, ensuring scalability, reliability, and security.
• Ensure AI models adhere to security, privacy, and responsible AI principles.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and products.
• Mentor and guide junior engineers and data scientists.
• Stay abreast of the latest advancements in AI/ML and identify opportunities for innovation.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed