AI engineer
5 days ago
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.
RequirementsKey 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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