AI Engineer

AI Engineer

Description:

• Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc.

• Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends.

• Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects.

• Research and evaluate emerging technologies.

• Develop data science solutions based on tools and cloud computing infrastructure.

• Perform other duties as assigned.

Qualifications:

• Advanced degree in in computer science, mathematics, physics, statistics, or related field.

• Strong experience with applying expertise in model design, training, validation, and monitoring.

• Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks.

• Experience with cloud computing infrastructure.

• Experience with Computer Vision, image processing and video analytics.

• Experience with Natural Language Processing/ Natural Language Understanding.

• Experience with deep learning framework and infrastructure like Tensor Flow or PyTorch.

• Experience and/or willing to learn advanced techniques in Agentic A.I. framework and Large Language Models (LLMs).

• Experience and/or willing to research, develop, implement, and fine-tuning LLMs in terms of specific domains knowledge and user cases.

• Ability to work individually, and as part of a team.

• Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.

Desired:

• A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA.

• Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments.

• Knowledge on principles of A.I. Security and Safety.

• Experience with Advance Reinforcement Learning Paradigms.

• Experience with Speech Recognition.

• Experience with Microsoft Azure services.