Lead Data Science Engineer (AI/ML & GenAI)

InfoVision Inc.; Irving (TX); On-site; USD 130,000 - 160,000; Full time

Job summary

InfoVision Inc. is looking for a Lead Data Science Engineer (AI/ML & GenAI) in Irving, TX. This 12-month role involves spearheading the design and deployment of advanced AI and machine learning solutions. The ideal candidate will have 10+ years of experience, a Master’s or Ph.D. in a related field, and strong expertise in Generative AI technologies. A solid understanding of data engineering and leadership skills is essential. The position is onsite based in Irving.

Qualifications

• 10+ years of overall experience in data science and engineering.
• 3+ years of experience in a leadership role.
• Proficient with cloud platforms and MLOps tools.

Responsibilities

• Spearhead design and deployment of AI/ML solutions.
• Develop scalable machine learning models for business challenges.
• Drive data-driven strategies in Generative AI applications.

Skills

Machine learning

Deep learning

Generative AI

Python

TensorFlow

PyTorch

MLOps

Education

Master’s or Ph.D. in Computer Science, Data Science, AI/ML, or related field

Tools

AWS

Azure

GCP

Job description

Lead Data Science Engineer (AI/ML & GenAI)

Location: Irving TX – Onsite

Duration: 12 months

About the Role

We are seeking a highly skilled Lead Data Science Engineer to spearhead the design, development, and deployment of advanced AI/ML solutions, with a strong focus on Generative AI applications. This role requires a blend of technical expertise, leadership, and innovation to drive data‑driven strategies and deliver scalable machine learning models that solve complex business challenges.

Qualifications

• Master’s or Ph.D. in Computer Science, Data Science, AI/ML, or related field.
• Overall 10+ years of experience
• Should have handson experience in machine learning, deep learning, and data science, with at least 3 years in a leadership role.
• Strong expertise in Generative AI (LLMs, GANs, diffusion models, transformers).
• Proficiency in Python, TensorFlow, PyTorch, and ML frameworks.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
• Solid understanding of data engineering, distributed computing, and scalable architectures.
• Excellent problem‑solving, communication, and leadership skills.

Preferred Skills

• Hands‑on experience with LangChain, Hugging Face, OpenAI APIs.
• Knowledge of reinforcement learning and advanced optimization techniques.
• Experience deploying AI solutions in production environments at scale.
• Strong publication record or contributions to open‑source AI projects.