AI engineer

This role is for one of the Weekday's clients

Salary range: Rs 800000 - Rs 1500000 (ie INR 8-15 LPA)

Requirements

Key Responsibilities:

• Design, develop, and deploy advanced AI and ML models, with a strong focus on Generative AI and LLM applications.
• Build and fine-tune state-of-the-art models using frameworks such as PyTorch, TensorFlow, or Keras.
• Implement LLM pipelines leveraging Hugging Face libraries and tools, ensuring high performance and scalability.
• Develop and maintain AI-driven solutions using Python, ensuring clean, efficient, and maintainable code.
• Work with Langchain, Langgraph, and other AI orchestration frameworks to create intelligent workflows and automated solutions.
• Deploy AI models and applications in containerized environments using Docker and orchestrate deployments using Kubernetes.
• Collaborate closely with cross-functional teams including data engineers, software engineers, and product managers to translate AI research into production-grade solutions.
• Conduct performance evaluation, benchmarking, and optimization of AI models for various tasks such as text generation, summarization, question-answering, and recommendation systems.
• Stay updated with the latest AI research, trends, and best practices, proactively suggesting improvements and new approaches to enhance AI capabilities.
• Mentor junior AI engineers and share knowledge of emerging AI technologies and tools within the team.
  

Required Skills and Qualifications:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 6-9 years of professional experience in AI/ML engineering, with a focus on Generative AI and LLMs.
• Strong proficiency in Python programming and AI/ML frameworks such as PyTorch, TensorFlow, or Keras.
• Hands-on experience with Hugging Face transformers, Langchain, and Langgraph.
• Solid understanding of machine learning algorithms, neural networks, and natural language processing (NLP) techniques.
• Experience in building and deploying AI models in production using Docker and Kubernetes.
• Familiarity with model evaluation, fine-tuning, and optimization techniques for large-scale AI systems.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Strong communication skills with the ability to explain complex AI concepts to non-technical stakeholders