AI Engineer

Job Description

Hiring:W2 Candidates Only

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

Position Summary

We are seeking an experiencedAI Engineerto design develop and optimize advanced machine learning and artificial intelligence models that drive business value. This role involves working across the entire AI lifecyclefrom 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 includingLarge Language Models (LLMs)andAgentic 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 implementLarge Language Models (LLMs)for domain-specific use cases.
• Research and experiment withAgentic AI frameworksto 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 inmachine learning model design training validation and monitoring.
• Solid foundation instatistical modeling ML algorithms and their trade-offs.
• Hands-on experience withcloud platforms(Azure AWS or GCP).
• Experience withComputer Vision image/video analytics and NLP/NLU.
• Proficiency withdeep learning frameworkssuch as TensorFlow or PyTorch.
• Familiarity withLLMs: 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 onGPU architecturesusingC/CUDA.
• Knowledge ofMLOps and CI/CD pipelinesfor deploying and monitoring models in production.
• Understanding ofAI security and safety principles.
• Experience withadvanced reinforcement learning techniques.
• Background inspeech recognitionapplications.
• Hands-on experience withMicrosoft Azure AI and ML services.