Description

You will design and implement complex generative AI solutions and manage a team of AI-ML engineers.

Responsibilities

• Design and implement end-to-end architecture for scalable, distributed machine learning solutions.
• Develop advanced generative models including LLMs, SLMs, GANs, VAEs, and autoregressive models.
• Deploy generative AI models and algorithms into scalable REST API services.
• Optimize AI models for efficiency and scalability through code reviews and experimentation.
• Collaborate with data scientists to preprocess and curate datasets for AI applications.

Required Skills

• 6+ years of experience in machine learning, NLP, pattern recognition, or artificial intelligence.
• Proficiency in Python, TensorFlow, and PyTorch.
• Hands-on experience with LangChain, LlamaIndex, and Haystack for language model development.
• Deep understanding of GANs, VAEs, and deep reinforcement learning.
• Experience with Microsoft Azure, including PaaS, SaaS, and serverless functions.
• Practical knowledge of Docker, Kubernetes, CI/CD, and DevOps practices.
• Experience building chatbots and Q&A bots.
• Strong mathematics background in statistics, algebra, and probability.
• Experience with REST APIs, Compute Engines, VMs, and GPU servers.

Preferred Skills

• Knowledge of Ontology.
• Experience in Computer Vision.

Key Skills

Education

Bachelor's Degree