Senior AI/ML engineer

Hiringhood; Vadodara; On-site; INR 2,800,000 - 6,000,000; Full time

Job summary

Hiringhood is seeking an experienced AI/ML professional to drive enterprise applications, digital transformation, and AI initiatives. You will build GenAI, NLP, and AI-powered systems, leveraging Transformers, PyTorch, LangChain, vector databases, and cloud platforms.

You will lead projects, mentor teams, and collaborate with product and engineering to translate business needs into scalable AI solutions. The role offers exposure to modern technologies and opportunities for professional growth

Qualifications

• :

Responsibilities

• 6–10 years of experience in AI/ML development and deployment.

Skills

AI/ML development

Supervised learning

Unsupervised learning

LLM training

GenAI apps

NLP

Computer Vision

Transformers

OpenCV

YOLO

R-CNN

LangChain

LangGraph

LlamaIndex

PyTorch

TensorFlow

Keras

Python

API/microservices

AWS

Azure

GCP

Vector DBs

FAISS

Pinecone

ChromaDB

Weaviate

MLOps

Model serving

LangChain

Tools

LangChain

LangGraph

LlamaIndex

OpenCV

YOLO

R-CNN

FastAPI

Flask

NVIDIA Triton

Job description

One of our key employers is a leading technology solutions and software development company specializing in enterprise applications, digital transformation, cloud computing, AI/ML, data engineering, and custom software development. The organization delivers innovative, scalable, and high-quality solutions to clients across various industries, helping businesses accelerate their digital initiatives. It fosters a collaborative, innovation-driven work culture with excellent opportunities for professional growth, continuous learning, and exposure to modern technologies.

Required Skills & Experience

• 6–10 years of experience in AI/ML development and deployment.
• Strong expertise in supervised and unsupervised learning techniques, including regression, classification, clustering, SVMs, and neural networks.

Generative AI & LLMs

• Hands‑on experience with LLM training, fine‑tuning, prompt engineering, and optimization.

NLP & Computer Vision

• Experience building GenAI applications such as chatbots, AI assistants, and document intelligence systems.
• Natural Language Processing and Computer Vision.

AI Agents & Frameworks

• Hands‑on expertise with Transformers, OpenCV, YOLO, and R-CNN architecture.

Deep Learning Frameworks

• Experience with multi‑agent frameworks such as LangChain, LangGraph, and LlamaIndex.
• Proficiency in PyTorch, TensorFlow, or Keras.

Programming

• Strong programming skills in Python with experience in API development and microservices.

Cloud & AI Infrastructure

• Experience deploying AI models on AWS, Azure, or Google Cloud Platform.
• Familiarity with MLOps pipelines, model serving, and AI lifecycle management.

Vector Databases

• Hands‑on experience with vector databases such as FAISS, Pinecone, ChromaDB, or Weaviate.

Performance Optimization

• Experience optimizing LLM inference for speed, cost, and memory efficiency.

Leadership & Collaboration

• Proven ability to lead AI projects and mentor engineering teams.
• Strong communication skills with the ability to translate business requirements into AI solutions.

Good to Have

• Experience with multimodal AI (text, image, video, speech).
• Familiarity with Docker, Kubernetes, and containerized AI deployment.
• Experience with model serving frameworks such as FastAPI, Flask, or NVIDIA Triton.
• Exposure to distributed training and large-scale model training pipelines.