Responsible for assessing and managing technical risks across the organization’s environments.
Works closely with cross-functional teams to identify and analyze emerging technology risks, implement risk management strategies, and maintain compliance with industry standards and regulations.
Plays a key role in developing frameworks for A.I. risk identification, evaluation, mitigation, and control.
Responsible for understanding the A.I. technological landscape, implementing model development and deployment.
Work under minimal supervision and use complete understanding of business needs and objectives to support projects.
Advanced skill sets and proficiency with Artificial Intelligence and machine learning techniques.

Requirements

Bachelor's degree or advanced degree in computer science, mathematics, physics, statistics.
Experience with deep learning framework and infrastructure like TensorFlow or PyTorch.
Experience and/or willing to learn advanced techniques in Large Language Models (LLMs) and Agentic A.I. framework.
Experience with Natural Language Processing/Natural Language Understanding.
Experience and/or willing to research, develop, implement, and fine-tuning LLMs in terms of specific domains knowledge and user cases.
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.
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 Qualifications**
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. Safety and Security.
Experience with Advance Reinforcement Learning Paradigms.
Experience with Speech Recognition.
Experience with Microsoft Azure services.

Benefits

Highly competitive pay
Generous benefits and perks

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Artificial IntelligenceMachine LearningDeep LearningNatural Language ProcessingNatural Language UnderstandingModel DesignModel TrainingModel ValidationModel MonitoringReinforcement Learning

Soft Skills

Interpersonal SkillsCommunication SkillsPresentation SkillsTeamworkIndependence