Description :

About the Role :

We are looking for an AI Engineer with 5+ years of experience to build and deploy intelligent systems powered by Machine Learning and Generative AI.

You will work on end-to-end AI solutions from data processing and model development to deploying scalable, production-ready applications.

Key Responsibilities :

AI/ML Development :

- Design, develop, and optimize machine learning models for real-world applications

- Work on use cases like NLP, recommendation systems, classification, forecasting

- Build robust data pipelines for training and inference

Generative AI & LLMs :

- Develop LLM-powered applications (RAG, chatbots, copilots)

- Implement prompt engineering, fine-tuning, and evaluation workflows

- Work with tools like LangChain, LlamaIndex, vector databases (Pinecone, FAISS, Weaviate)

Deployment & Engineering :

- Deploy models via APIs and microservices (FastAPI, Flask)

- Build scalable systems using Docker, Kubernetes, CI/CD pipelines

- Optimize performance, latency, and cost of AI systems

Collaboration :

- Work closely with product and engineering teams to translate requirements into AI solutions

- Contribute to architecture decisions and technical discussions

Required Skills & Experience :

- 5+ years of experience in AI/ML or software engineering roles

- Strong programming skills in Python

- Solid understanding of :

1. Machine Learning fundamentals

2. Data preprocessing & feature engineering

3. Model evaluation techniques

- Hands-on experience with :

i. ML frameworks (PyTorch, TensorFlow, Scikit-learn)

ii. Building and deploying ML models in production

iii. REST APIs and backend development

Good to Have :

- Experience with Generative AI / LLMs (OpenAI, open-source models)