Principal Machine Learning Engineer

Daily Tasks:

• Design and develop and review advanced machine learning models and architectures, including deep learning, optimization, and generative AI systems

• Lead complex AI/ML project initiatives, providing technical guidance and architectural oversight to cross-functional engineering teams

• Conduct in-depth research and experimentation to evaluate emerging AI technologies, assess their potential applications, and develop proof-of-concept solutions

• Review and optimize existing AI systems for performance, scalability, and efficiency, implementing advanced techniques like model compression and transfer learning

• Collaborate with product managers and stakeholders to translate business requirements into technical AI strategies and implementation roadmaps

Minimum Technical Skills:

• Expert-level proficiency in Python, with deep understanding of machine learning libraries

• Advanced knowledge of machine learning algorithms, neural network architectures, and AI model development

• Extensive experience with cloud platforms (must have GCP, nice to have Azure) and AI/ML cloud services

• Strong background in statistical modeling, data preprocessing, and feature engineering

• Proficiency in big data technologies and distributed computing frameworks

• Demonstrated ability to design and implement scalable machine learning infrastructure

Leadership and Experience Level:

• Minimum of 8-10 years of professional experience in AI/ML engineering

• Proven track record of leading complex AI initiatives from conception to production

• Senior technical leadership experience, capable of mentoring junior engineers and driving technical strategy

• Ability to communicate complex technical concepts to both technical and non-technical stakeholders

• Demonstrated innovation in AI research or practical applications

Offer due date:2025-01-05

Start date:2025-01-07

End date:2025-06-30