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Job Description

AI & ML Engineer

Department : Data Science / AI Innovation Lab

Location : Vellore, India

Experience : 3-6 Years

Job Type : Full-time

Job Summary :


We are looking for an experienced AI & ML Engineer to join our Data Science / AI Innovation Lab in Vellore. This role requires an individual who can work across the full AI spectrumfrom classical machine learning models to cutting-edge Generative AI applications. The ideal candidate will possess strong experience in building ML models using regression, classification, and tree-based algorithms, coupled with hands-on exposure to Large Language Models (LLMs) and generative frameworks like GPT, Stable Diffusion, and LangChain.

Key Responsibilities :


- Design, develop, and deploy classical machine learning models for various tasks, including regression, classification, and leveraging tree-based algorithms (e.g., Random Forest, XGBoost).

- Work with and implement cutting-edge Generative AI applications, including hands-on development and fine-tuning of Large Language Models (LLMs) like GPT, and frameworks like Stable Diffusion.

- Utilize and implement generative frameworks such as LangChain to build complex AI applications and workflows.

- Collaborate with data scientists and other engineers to understand business requirements and translate

them into effective, scalable AI/ML solutions.

- Contribute to the entire lifecycle of AI/ML solutions, from data preparation and feature engineering to model training, deployment, and continuous monitoring.

- Research and experiment with new AI/ML technologies, algorithms, and approaches to continuously improve solution performance and capabilities.

Required Skills & Qualifications :


- Bachelors or Masters in Computer Science, Data Science, Statistics, or a related field.

- 3-6 years of experience as an AI & ML Engineer.


- Strong programming skills in Python, with hands-on experience in libraries like NumPy, Pandas, and Scikit learn.

- Proficiency in classical ML algorithms (e.g., regression, classification, clustering, tree-based models, Naive Bayes, SVM).


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

- Understanding of transformer architecture, Natural Language Processing (NLP) concepts, embeddings, and tokenization.

- Familiarity with REST API development using frameworks like FastAPI or Flask.

- Exposure to cloud platforms (AWS/GCP/Azure) and containerization technologies like Docker/Kubernetes.

Preferred / Nice to Have :


- Experience with deep learning frameworks such as TensorFlow or PyTorch.

- Exposure to image/audio/video generation using models like DALLE, Stable Diffusion, or Whisper.

- Familiarity with Retrieval Augmented Generation (RAG), LLMOps, and vector stores (e.g., FAISS, Pinecone, Weaviate).

- Knowledge of MLOps pipelines, model monitoring, and CI/CD practices for machine learning projects.


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