Lead ML Engineer

As a Lead ML Engineer at Angel One, you will serve as a senior individual contributor on critical projects, driving technical excellence, defining best practices, and ensuring successful delivery of ML initiatives aligned with organizational goals. Your role will require both strong technical depth and the ability to influence and guide others. **Key Responsibilities:** - Lead the design and architecture of complex ML systems and ensure technical quality across projects - Mentor and develop ML engineers, providing guidance on technical growth and career development - Drive technical roadmap planning and prioritization for ML initiatives within your team - Collaborate with product managers and stakeholders to translate business requirements into ML solutions - Establish and enforce coding standards, review processes, and engineering best practices - Lead cross-functional collaboration with data engineering, platform, and product teams - Identify technical risks and develop mitigation strategies for ML projects - Contribute to hiring efforts including interviewing candidates and improving hiring processes **Qualifications Required:** - Bachelor's or Master's degree in Computer Science, Machine Learning, or related field; PhD is a plus - 6-8 years of experience in ML engineering with demonstrated technical leadership - Track record of successfully delivering complex ML projects from conception to production - Expert-level proficiency in Python, ML frameworks, and production ML systems - Strong experience with ML system design, architecture patterns, and scalability considerations - Excellent communication skills with the ability to explain technical concepts to diverse audiences - Experience mentoring engineers and driving technical decisions in a team setting - Hands-on experience with Generative AI, including LLM fine-tuning, prompt engineering, RAG systems, and AI agents At Angel One, the culture is rooted in Diversity, Equity, and Inclusion (DEI). As an Equal opportunity employer, Angel One welcomes people from all backgrounds irrespective of caste, religion, gender, marital status, sexuality, disability, class, or age to be part of the team. The belief is that everyone's unique experiences and viewpoints make the team stronger together. Join #OneSpace, where individuality is celebrated and embraced. As a Lead ML Engineer at Angel One, you will serve as a senior individual contributor on critical projects, driving technical excellence, defining best practices, and ensuring successful delivery of ML initiatives aligned with organizational goals. Your role will require both strong technical depth and the ability to influence and guide others. **Key Responsibilities:** - Lead the design and architecture of complex ML systems and ensure technical quality across projects - Mentor and develop ML engineers, providing guidance on technical growth and career development - Drive technical roadmap planning and prioritization for ML initiatives within your team - Collaborate with product managers and stakeholders to translate business requirements into ML solutions - Establish and enforce coding standards, review processes, and engineering best practices - Lead cross-functional collaboration with data engineering, platform, and product teams - Identify technical risks and develop mitigation strategies for ML projects - Contribute to hiring efforts including interviewing candidates and improving hiring processes **Qualifications Required:** - Bachelor's or Master's degree in Computer Science, Machine Learning, or related field; PhD is a plus - 6-8 years of experience in ML engineering with demonstrated technical leadership - Track record of successfully delivering complex ML projects from conception to production - Expert-level proficiency in Python, ML frameworks, and production ML systems - Strong experience with ML system design, architecture patterns, and scalability considerations - Excellent communication skills with the ability to explain technical concepts to diverse audiences - Experience mentoring engineers and driving technical decisions in a team setting - Hands-on experience with Generative AI, including LLM fine-tuning, prompt engineering, RAG systems, and AI agents At Angel One, the culture is rooted in Diversity, Equity, and Inclusion (DEI). As an Equal opportunity employer, Angel One welcomes people from all backgrounds irrespective of caste, religion, gender, marital status, sexuality, disability, class, or age to be part of the team. The belief is that everyone's unique experiences and viewpoints make the team stronger together. Join #OneSpace, where individuality is celebrated and embraced.