AI & ML Engineer

ESP Engineered; Tamil Nadu; On-site; INR 800,000 - 1,200,000; Full time

Job summary

ESP Engineered is seeking an experienced AI & Generative AI Developer in Tamil Nadu, India. The role involves designing and implementing machine learning models, building and fine-tuning LLMs for various applications, and collaborating with business teams. Candidates should have a strong background in Python, machine learning algorithms, and relevant LLM frameworks. This position requires a Bachelor’s or Master’s in a related field and offers opportunities to work on cutting-edge AI technologies.

Qualifications

• 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.
• Exposure to cloud platforms (AWS, GCP, Azure) and Docker/Kubernetes.

Responsibilities

• Design and implement supervised and unsupervised ML models.
• Preprocess and analyze structured and tabular datasets.
• Evaluate models using metrics such as accuracy, precision, recall.
• Build predictive models, deploy them into production, and monitor performance.
• Collaborate with business teams to translate requirements into ML use cases.

Skills

Python

NumPy

Pandas

Scikit-learn

Machine Learning Algorithms

LLM frameworks

REST API development

Cloud platforms (AWS, GCP, Azure)

Docker/Kubernetes

Education

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

Tools

TensorFlow

PyTorch

FastAPI

Flask

Job description

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

• 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 and tabular datasets
• Evaluate models using metrics such as 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
• Build and fine‑tune LLMs (e.g., GPT, LLaMA, PaLM) for summarisation, Q&A, and document generation
• Implement prompt engineering, RAG pipelines, and vector database integrations
• Use libraries such as Hugging Face Transformers, LangChain, and LlamaIndex
• Develop APIs to expose GenAI models in real‑time applications
• Ensure safe, explainable, and bias‑free output in line with AI ethics guidelines

Required Skills & Qualifications

• Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a 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 or 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