AI Engineer

Responsibilities

• Design, develop, and implement state-of-the-art Generative AI models and solutions tailored to client needs.
• Work on projects involving deep learning frameworks (e.g., TensorFlow, PyTorch) and natural language processing (NLP) models like GPT, BERT, or similar architectures.
• Develop and fine-tune AI algorithms for tasks such as text generation, image synthesis, and other generative applications.
• Collaborate with cross-functional teams to integrate AI solutions into client workflows and systems.
• Deliver high-quality, interactive training sessions to client workforces on AI concepts, tools, and best practices.
• Create user-friendly documentation, tutorials, and resources to support client teams in understanding and using AI technologies.
• Adapt training methods to meet the varying levels of technical expertise within client teams.
• Partner with clients to identify business challenges and opportunities that can be addressed through Generative AI.
• Ensure timely delivery of AI solutions, maintaining high-quality standards.
• Stay updated on advancements in Generative AI, sharing insights and innovations with both internal and external stakeholders.
• Conduct technical workshops, demos, and presentations to showcase AI solutions.
• Provide hands-on support and troubleshooting for AI implementation challenges faced by clients.

Requirements:

Technical Expertise:

• Proven experience (3+ years) in developing and deploying Generative AI solutions.
• Strong programming skills in Python and proficiency with libraries like TensorFlow, PyTorch, and scikit-learn.
• Solid understanding of machine learning algorithms, neural networks, and natural language processing (NLP).
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for AI/ML deployment.

Soft Skills & Training Ability:

• Excellent communication and public speaking skills, with experience in delivering technical training or workshops.
• Ability to explain complex AI concepts in simple terms to diverse audiences.
• Strong interpersonal skills to engage effectively with clients and teams.

Educational Background:

• Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Certifications in AI/ML or Python programming are a plus.