AI Developer 2

Overview

Develop, fine-tune and deploy large language models and transformer-based NLP solutions, including RAG pipelines and LLM-powered applications.

What you'll do

• Develop and fine-tune LLMs (GPT, BERT, T5, LLaMA, Mistral) for text generation, summarization, translation, and question-answering tasks.
• Work with transformer-based architectures, understanding self-attention mechanisms, token embeddings, and model interpretability.
• Implement custom tokenization techniques, text embedding models (SentenceBERT, OpenAI Embeddings, Cohere, etc.), and efficient inference optimizations.
• Apply prompt engineering and prompt tuning techniques to optimize model responses.
• Work with LangChain and LLM orchestration frameworks to build AI-powered applications.
• Build Retrieval-Augmented Generation (RAG) pipelines using vector databases like FAISS, Pinecone, Weaviate, ChromaDB.
• Work with Hugging Face Transformers, spaCy, NLTK, and OpenAI APIs.

What you'll need

• Proficiency in Python.
• Experience with Hugging Face Transformers, LangChain, OpenAI APIs.
• Strong knowledge of machine learning libraries: scikit-learn, XGBoost, LightGBM.
• Experience with Retrieval-Augmented Generation (RAG): Faiss, Pinecone, Weaviate, ChromaDB.
• Training, fine-tuning, and optimizing transformer models (BERT, GPT, T5, LLaMA).
• Deep understanding of self-attention, positional embeddings, sequence modeling.
• Strong NLP expertise: Named Entity Recognition (NER), topic modeling, text embeddings.
• Good grasp of linear algebra: vectors, matrices, eigenvalues, eigenvectors etc.
• Expertise in gradient descent, backpropagation, activation functions, loss functions.
• Experience with dimensionality reduction techniques for feature selection.
• Knowledge of time-series forecasting, anomaly detection, and probabilistic modeling.
• Understanding of model serving techniques, including REST APIs and real-time inference.
• Bachelor's degree in computer science, software engineering, data science, information systems, machine learning, or a related field, or equivalent experience.
• 2+ years of experience in MLOps engineering, machine learning engineering, platform engineering, DevOps engineering, software engineering, or a related technical field.

Nice to have

• Certification in cloud platforms, DevOps, machine learning, automation, container orchestration, or platform engineering.
• Certification in cloud engineering, infrastructure automation, machine learning operations, or software delivery practices.

Details

• Location: Pune, India.
• Employment type: Full time.
• Affiliated company: CENCORA BUSINESS SERVICES INDIA PRIVATE LIMITED.