AI Engineer

Hiring:W2 Candidates Only

Visa:Open to any visa type with valid work authorization in the USA

Position Summary

We are seeking an experienced AI Engineer to design develop and optimize advanced machine learning and artificial intelligence models that drive business value. This role involves working across the entire AI lifecycle-from research model design training and validation to deployment and monitoring. The engineer will collaborate closely with data scientists data engineers and visualization experts to deliver AI solutions while also researching emerging technologies and advancing the organizations adoption of cutting-edge AI practices including Large Language Models (LLMs) and Agentic AI frameworks. Looking for candidates with a computer science background and experience in neural networks TensorFlow/PyTorch Agentic A.I. frameworks and large language models (LLMs).

Key Responsibilities

• Design build and enhance machine learning models through all phases of development (design training validation deployment monitoring).
• Analyze large-scale numerical and textual datasets to uncover insights patterns and trends.
• Partner with cross-functional teams (data engineering data science visualization) to deliver AI-driven solutions.
• Research evaluate and adopt emerging AI and ML technologies.
• Develop and deploy data science solutions leveraging cloud computing infrastructure.
• Explore fine-tune and implement Large Language Models (LLMs) for domain-specific use cases.
• Research and experiment with Agentic AI frameworks to enhance automation and reasoning capabilities.
• Support Computer Vision video analytics and Natural Language Processing/Understanding projects.
• Document models processes and results to ensure transparency and reproducibility.
• Perform other duties as assigned.

Required Qualifications

• Advanced degree in Computer Science Mathematics Physics Statistics or related field.
• Strong expertise in machine learning model design training validation and monitoring.
• Solid foundation in statistical modeling ML algorithms and their trade-offs.
• Hands-on experience with cloud platforms (Azure AWS or GCP).
• Experience with Computer Vision image/video analytics and NLP/NLU.
• Proficiency with deep learning frameworks such as TensorFlow or PyTorch.
• Familiarity with LLMs: research fine-tuning and implementation for domain-specific use cases.
• Strong problem-solving collaboration and independent work skills.
• Excellent written verbal and presentation skills to communicate complex concepts to technical and non-technical audiences.

Preferred Qualifications

• AI Model optimization on GPU architectures using C/CUDA.
• Knowledge of MLOps and CI/CD pipelines for deploying and monitoring models in production.
• Understanding of AI security and safety principles.
• Experience with advanced reinforcement learning techniques.
• Background in speech recognition applications.
• Hands-on experience with Microsoft Azure AI and ML services.