AI/ML Engineer

Job Title:
AI/ML Engineer – FastAPI, FAISS & Vector Databases
Location:
Gurgaon (On-site)Job Type:
Full-Time Job Overview:
We’re hiring an AI/ML Engineer who can build scalable and intelligent systems using FastAPI, FAISS, and vector search technologies. If you’re passionate about retrieval-augmented generation (RAG), semantic search, and deploying real-world ML pipelines, we’d love to meet you! Key Responsibilities:

• Build, optimize, and maintain scalable ML APIs using FastAPI
• Implement and manage vector-based search systems using FAISS, Pinecone, or similar tools
• Create and serve embeddings using transformer models for semantic search, recommendations, or chatbot systems
• Design and deploy RAG (retrieval-augmented generation) pipelines using LLMs
• Work with large unstructured datasets (text, documents, etc.) to extract features and build indexes
• Collaborate with data scientists and backend engineers to integrate models into production
• Monitor and improve model performance and API latency in production environments

Required Skills:

• Strong experience with Python and FastAPI
• Hands-on with FAISS and vector similarity search concepts
• Familiarity with sentence-transformers, Hugging Face, or OpenAI embeddings
• Working knowledge of vector databases like FAISS, Weaviate, Pinecone, or Qdrant
• Experience with NLP pipelines, tokenization, and text preprocessing
• Comfortable with RESTful APIs, JSON, and basic cloud deployment (e.g., AWS/GCP)

Bonus/Good to Have:

• Experience with LangChain, LLMs, or RAG architecture
• MLOps practices for model serving and monitoring
• Exposure to Docker, Kubernetes, Airflow, or CI/CD pipelines
• Prior experience deploying LLM-based search or Q&A systems

Ideal Candidate Profile:

• 2–4 years of experience in AI/ML engineering or backend roles with ML focus
• Comfortable building APIs that connect machine learning models to real users
• Familiar with working in fast-paced, agile environments
• Curious about LLMs, embeddings, and real-time AI applications

Job Type: Full-time

Pay: ₹1,200,000.00 - ₹1,500,000.00 per year

Work Location: In person

Application Deadline: 25/07/2025
Expected Start Date: 01/08/2025