Full Job Description
Lead AI Engineer
Job Description
1. Lead and mentor a team of 5-15 AI/ML engineers, providing technical guidance, code reviews, and career development.
2. Own end-to-end delivery of AI/ML solutions from design through production, ensuring quality and on-time deployment.
3. Define technical architecture and design patterns for advanced analytics and machine learning models across assigned workstreams.
4. Drive adoption of ML best practices, frameworks, and tools across the team to improve model performance and scalability.
5. Partner with product and business stakeholders to translate requirements into technical specifications and prioritize model development roadmap.
6. Architect data pipelines and infrastructure required to support model training, validation, and real-time inference at scale.
7. Manage technical risks, performance bottlenecks, and model governance to ensure compliance and production reliability.
Qualifications
Bachelors - Computer Science, Bachelors - Mathematics, GED - Statistics, Masters - Artificial Intelligence, Masters - Software Engineering
Certifications
Deep Learning Foundations and Applications - Indian Institute of Technology, Kharagpur, Generative AI Explorer: Vertex AI - Google, IBM Machine Learning - IBM, Machine Learning and AI Foundations: Predictive Modeling Strategy at Scale - LinkedIn Learning
Required Skills
Agile Methodology, AI/ML Ops, AI Agents, Amazon Web Services (AWS), Artificial Intelligence (AI), Deep Learning Algorithms, Google Cloud Platform, Machine Learning, Microsoft Azure, Natural Language Processing (NLP), PyTorch, Responsible AI, Solution Architecture, Tensorflow
Language
English (Required)
Language Proficiency -
English (OVERALL - Advanced - C1)
Additional Job Location -
Job Type
Regular
Master Skill List -
AI
Remote Type -
Hybrid
Work Shift -
Day Job (United States of America)
The approximate annual base compensation range for this position is:
80,000 to 100,000 USD
"Los Angeles California-based candidates are not eligible for this role"
The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant's experience, knowledge, skills, and abilities; geographic location; and internal equity.
