Job highlights

- Bachelor s or Master s in Computer Science,Data Science,Statistics,or related field . Robust programming skills in Python,with experience in NumPy,Pandas,Scikit-learn . Proficiency in classical ML algorithms (regression,trees,naive Bayes,etc.)

- Required Skills & Qualifications

- Preferred / Nice to Have

- Experience with deep learning (TensorFlow,PyTorch) .

We are looking for an experienced AI & Generative AI Developer who can work across the AI spectrum from classical machine learning models to cutting-edge Generative AI applications. The role demands strong experience in building ML models using regression, classification, and tree-based algorithms, along with hands-on exposure to LLMs and generative frameworks like GPT, Stable Diffusion, and LangChain.

Key Responsibilities

Classical AI/ML

- Design and implement supervised and unsupervised ML models including:

- Linear Regression, Logistic Regression

- Decision Trees, Random Forest, XGBoost

- Naive Bayes, K-Means, SVM, PCA, etc.

- Preprocess and analyse structured/tabular datasets

- Evaluate models using metrics like accuracy, precision, recall, ROC-AUC, and RMSE

- Build predictive models , deploy them into production, and monitor performance

- Collaborate with business teams to translate requirements into ML use cases

Generative AI (GenAI)

- Build and fine-tune LLMs (e.g., GPT, LLaMA, PaLM) for summarisation, Q&A;,



document generation, etc.

- Implement prompt engineering , RAG pipelines , and vector database integrations

- Use libraries like Hugging Face Transformers, LangChain, and LlamaIndex

- Develop APIs to expose GenAI models in real-time apps

- Optimise model inference using quantisation, batching, etc.

- Ensure safe, explainable, and bias-free output in alignment with AI ethics guidelines

Required Skills & Qualifications

- Bachelor s or Master s in Computer Science, Data Science, Statistics, or related field

- Strong programming skills in Python , with experience in NumPy, Pandas, Scikit-learn

- Proficiency in classical ML algorithms (regression, trees, naive Bayes, etc.)

- Experience with LLM frameworks like OpenAI API, Hugging Face, and LangChain

- Understanding of transformer architecture , NLP, embeddings, and tokenisation

- Familiarity with REST API development using FastAPI/Flask

- Exposure to cloud platforms (AWS/GCP/Azure) and Docker/Kubernetes

Preferred / Nice to Have

- Experience with deep learning (TensorFlow, PyTorch)

- Exposure to image/audio/video generation using models like DALL E, Stable Diffusion, Whisper

- Familiarity with RAG , LLMOps , and vector stores (FAISS, Pinecone, Weaviate)

- Knowledge of MLOps pipelines , model monitoring , and CI/CD for ML

📌 AI & ML Engineer (Vellore)
🏢 Factentry Data Solutions
📍 Vellore