Posted on: 17/11/2025
Description :
Role : AI/ML Engineer
Experience : 3+
Location : Pan India
Notice Period : 0-15 days
About the Role :
We are looking for an experienced AI/ML Engineer with strong expertise in Generative AI to join our team. The ideal candidate should have hands-on experience in building, deploying, and optimizing machine learning and GenAI models, along with a solid understanding of LLMs, NLP, and deep learning architectures.
Key Responsibilities :
- Design, develop, and deploy AI/ML models, including Generative AI, NLP, and deep learning models.
- Build and fine-tune Large Language Models (LLMs) and work with frameworks like Hugging Face, LangChain, or similar.
- Develop end-to-end ML pipelines, from data preprocessing to model training and deployment.
- Implement GenAI solutions such as text generation, embeddings, summarization, chatbots, and automation systems.
- Work with cloud platforms like AWS / Azure / GCP for model deployment and scaling.
- Collaborate with cross-functional teams to understand business requirements and develop AI-driven solutions.
- Optimize models for performance, latency, and accuracy.
- Stay updated with the latest advancements in AI/ML and GenAI technologies.
Required Skills & Experience :
- 3+ years of hands-on experience in AI/ML development.
- Strong experience in Generative AI, LLMs, NLP, and transformer-based architectures.
- Expertise in Python, TensorFlow / PyTorch.
- Experience working with Hugging Face, OpenAI, LangChain, or similar frameworks.
- Solid understanding of machine learning concepts, model training, evaluation, and optimization.
- Experience deploying ML models using Docker, Kubernetes, or cloud environments.
- Strong knowledge of data engineering concepts, model pipeline creation, and MLOps.
- Good problem-solving skills and ability to work independently.
Good to Have :
- Experience with vector databases (Pinecone, FAISS, Chroma).
- Knowledge of prompt engineering and RAG (Retrieval Augmented Generation).
- Experience building AI-based automation tools or chatbots.
- Familiarity with Computer Vision or multi-modal models.
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