AI Solutions Engineer

Position Overview

The AI Solutions Engineer is responsible for designing and implementing innovative AI-driven solutions that address complex business challenges. This role combines expertise in data science, machine learning, and software engineering to create scalable and efficient AI applications.

Key Responsibilities

• Collaborate with cross-functional teams to understand business requirements and translate them into AI solutions.
• Design, develop, and deploy machine learning models and algorithms using Python and relevant libraries.
• Utilize big data technologies and cloud platforms (AWS, GCP, Azure) to manage and process large datasets.
• Implement best practices for MLOps to ensure smooth deployment and maintenance of AI solutions.
• Conduct data analysis and mining to extract insights and improve model performance.
• Stay updated with the latest advancements in AI, ML, and data science, and integrate them into existing solutions.
• Create and maintain documentation for developed solutions and processes.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Experience in productizing both LLM and computer vision AI/ML-enabled software.
• Experience in bringing products to market and commercial deployment
• Proven experience as an AI Solutions Engineer or similar role, with a strong portfolio of successful projects.
• Proficiency in Python and experience with data science frameworks such as PyTorch and TensorFlow.
• Solid understanding of machine learning concepts, algorithms, and practical implementations.
• Familiarity with cloud services (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).
• Experience with enterprise data systems and big data technologies.
• Knowledge of natural language processing (NLP) and large language models (LLM) is a plus.

Candidates who fill out skills and questions move to the front of the application process!

Benefits

• Full Benefits Included