Job Title: AI / Machine Learning (AI/ML) Engineer

Location: [Remote / Hybrid / On-site - City, Country]

Department: Engineering / Data Science

Employment Type: Full-Time

Experience Level: Mid-Senior (2–5+ years)

Job Summary

We are looking for an experienced and proactive AI/ML Engineer to design, build, and deploy production-grade artificial intelligence and machine learning systems. In this role, you will bridge the gap between applied data science and software engineering—architecting high-throughput pipelines, implementing modern Generative AI/LLM architectures, integrating vector search databases, and deploying models with low-latency APIs.

The ideal candidate possesses strong software engineering fundamentals, hands-on experience deploying machine learning models to production, and a deep understanding of modern NLP, computer vision, or agentic frameworks.

Key Responsibilities

- Model Development & Fine-Tuning: Build, evaluate, fine-tune, and deploy predictive ML models, classical deep learning architectures, and contemporary Large Language Models (LLMs).
- GenAI & RAG Systems: Design and scale Retrieval-Augmented Generation (RAG) pipelines, semantic vector search engines, and multi-agent workflows using vector databases and LLM orchestration tools.
- API & Backend Integration: Develop clean, asynchronous REST and WebSocket microservices (e.g., using FastAPI) to expose models and processing pipelines to client applications.
- Data Engineering & Feature Pipelines: Construct automated ingestion, preprocessing, validation, and feature engineering workflows to support offline training and real-time inference.
- Model Serving & Inference Optimization: Optimize model inference latency, throughput, and memory footprint using quantization, batching techniques, and dedicated serving runtimes (e.g., vLLM, TensorRT-LLM, ONNX).
- MLOps & Monitoring: Set up tracking, model registry, version control (DVC, MLflow), CI/CD pipelines, and real-time observability to detect model drift and hallucination.
- Collaboration & Cross-Functional Alignment:



Work closely with product managers, frontend engineers, and backend teams to turn ambiguous business requirements into robust technical specifications.

Required Skills & Qualifications

- Programming & Systems: Strong proficiency in Python (async programming, multiprocessing, object-oriented design).
- Frameworks & Libraries: Hands-on experience with PyTorch, TensorFlow, Hugging Face Transformers, and scikit-learn.
- Modern AI Tech Stack: Practical experience with LangChain/LangGraph, LlamaIndex, or native tool-calling agent frameworks.
- Vector Search & Databases: Experience working with vector stores (e.g., Chroma, FAISS, Pinecone, Qdrant, Milvus) and relational/NoSQL databases (PostgreSQL/pgvector, Redis).
- Backend & API Development: Proven track record of building robust web APIs using FastAPI, Flask, or similar frameworks with streaming/WebSocket capabilities.
- Version Control & DevOps: Strong command of Git, Docker containerization, and basic CI/CD pipeline automation.
- Problem Solving & Mathematics: Solid understanding of linear algebra, probability, loss functions, optimization techniques, and evaluation metrics (precision, recall, BLEU/ROUGE, RAG evaluation metrics like Ragas).

Preferred Qualifications

- Experience deploying models on cloud platforms (AWS, GCP, or Azure) using services like SageMaker, Vertex AI, or Kubernetes.
- Familiarity with high-throughput LLM inference architectures (PagedAttention, continuous batching via vLLM).
- Hands-on exposure to Computer Vision (OpenCV, YOLO) or Speech processing (Whisper, STT/TTS streaming pipelines).
- Understanding of local model quantization techniques (GGUF, AWQ, bitsandbytes).
- Contributions to open-source AI projects or a portfolio of deployed applications.

What We Offer

- Competitive salary and performance-based bonuses / equity options.
- Comprehensive health, medical, and wellness benefits.
- Flexible working hours and hybrid/remote work culture.
- Annual learning and development stipend for courses, conferences, and hardware upgrades.

Pay: ₹405,000.00 - ₹1,000,000.00 per year

Work Location: In person

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