AI/ML Engineer

M U S T - H A V E S K I L L S

Backend Engineering

Python, FastAPI / Flask

REST APIs, Async Architecture

Concurrency, Multiprocessing

Memory Management & Performance Optimization

Docker, Kubernetes, CI/CD

AWS / GCP / Azure

Machine Learning

5+ years in ML Development

Research → Prototype → Production pipeline experience

PyTorch, TensorFlow

Feature Engineering & Data Preprocessing

Model Monitoring & Drift Detection

MLflow, Weights & Biases, Airflow

LLM / Generative AI

RAG (Retrieval-Augmented Generation)

Prompt Engineering

LoRA / PEFT Fine-Tuning

LLaMA, Mistral & Open-Source LLMs

Embeddings, Vector Databases & Similarity Search

Context Window Optimization

Cost-Aware LLM Design

Hallucination Detection, Prompt Testing & Output Validation

VLM / Multimodal AI

Multimodal Transformers

CLIP, BLIP, LLaVA

Image Embeddings

Cross-Modal Retrieval

OCR Integration

Image Preprocessing Pipelines

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J O B D E S C R I P T I O N

Senior AI/ML Engineer | LLM, VLM & Generative AI

Image Model Deployment

AI Architecture

Scalable LLM Systems

RAG Architecture Design

Caching Strategies & Token Optimization

Streaming Responses

Kafka / RabbitMQ

Async Task Execution

Prompt Injection Prevention

Data Privacy & Rate Limiting

G O O D - T O - H A V E S K I L L S

Quantization (4-bit / 8-bit)

Model Distillation

vLLM / TGI

AI Agents & Multi-Agent Systems

GPU Orchestration

Distributed Training

Triton Inference Server

Model Sharding

GPU Memory Monitoring

Autoscaling Inference Endpoints

Pay: ₹805,906.54 - ₹1,782,322.22 per year

Benefits:

Paid sick time

Paid time off

Provident Fund

Work Location: In person