Our team members are at the heart of everything we do. At Cencora we are united in our responsibility to create healthier futures and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health come join our innovative company and help us improve the lives of people and animals everywhere. Apply today!

Job Details

Key Responsibilities

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.

Technical Skills

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.

.

Bachelors degree in computer science software engineering data science information systems machine learning or a related field or equivalent experience required.2 years of experience in MLOps engineering machine learning engineering platform engineering DevOps engineering software engineering or a related technical field in cloud platforms DevOps machine learning automation container orchestration or platform engineering in cloud engineering infrastructure automation machine learning operations or software delivery practices preferred.

What Cencora offers

Benefit offerings outside the US may vary by country and will be aligned to local market practice. The eligibility and effective date may differ for some benefits and for team members covered under collective bargaining agreements.

Full time

Affiliated Companies

Affiliated Companies: CENCORA BUSINESS SERVICES INDIA PRIVATE LIMITED

Equal Employment Opportunity

Cencora is committed to providing equal employment prospect without regard to race color religion sex sexual orientation gender identity genetic information national origin age disability veteran status or membership in any other class protected by federal state or local law.

The companys continued success depends on the full and effective utilization of qualified individuals. Therefore harassment is prohibited and all matters related to recruiting training compensation benefits promotions and transfers comply with equal opportunity principles and are non-discriminatory.

Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment please call (phone hidden) or email . We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned

Required Experience:

IC

📌 AI Developer 2 (Pune)
🏢 Cencora
📍 Pune