AI engineer

7 days ago

Gurgaon, Haryana, India Weekday AI Full time ₹ 8,00,000 - ₹ 15,00,000

This role is for one of the Weekday's clients

Salary range: Rs Rs ie INR 8-15 LPA)

Min Experience: 6 years

Location: NOIDA, Bengaluru, NCR, Delhi, Gurugram

JobType: full-time

We are seeking a highly skilled and motivated AI Engineer with deep expertise in Generative AI (Gen AI) and Large Language Models (LLMs) to join our innovative AI team. The ideal candidate will have a strong background in AI/ML development, hands-on experience with frameworks such as PyTorch, TensorFlow, or Keras, and a proven ability to design, implement, and deploy AI-driven solutions. This role requires working on cutting-edge AI applications, integrating state-of-the-art models, and driving AI initiatives across multiple business domains.

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.

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