Artificial Intelligence Engineer

Job Description

Lead AI Engineer Job Description Educational Qualifications: Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Strong academic background with a focus on deep learning, natural language processing, and/or computer vision. Experience Requirements: 2+ years of experience in AI/ML research and development, with a proven track record of delivering innovative solutions. Extensive experience in working with and customizing Large Language Models (LLMs). Proficiency in popular AI development frameworks (e.g., TensorFlow, PyTorch, Keras). Strong programming skills in Python and/or other relevant languages. Experience in leading and mentoring AI/ML teams. Key Responsibilities: Lead the development and deployment of AI-powered solutions for the project. Interact with and customize LLMs to meet specific project requirements. Utilize popular AI development frameworks to build and optimize AI models. Collaborate with cross-functional teams (e.g., product, engineering, data science) to deliver AI solutions. Stay abreast of the latest advancements in AI/ML and incorporate them into the project. Desired Skills: Strong problem-solving and analytical skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Passion for AI and its potential to transform industries. Additional Considerations: Experience in cloud computing platforms (e.g., AWS, Azure, GCP) is a plus. Contributions to open-source AI/ML projects are highly valued. Publications in top-tier AI/ML conferences or journals are a plus. Note: This job description is intended to provide a general outline of the position's requirements. The specific responsibilities and qualifications may vary depending on the project and company needs.