AI/ML Software Developer

Job Title: AI/AM Software Developer

Location: Mumbai (On-site)

Experience: 1-2 Years

Abou the Role:

AI/ML Software Developer

Key Responsibilities:

• Develop, train, and optimize machine learning and deep learning models for real-world applications.

• Build and deploy scalable AI workflows on cloud platforms such as

  AWS SageMaker

  and

  Google AI Platform

  .

• Architect and implement

  multi-agent systems

  leveraging

  reinforcement learning (RL)

  for automated decision-making.

• Develop

  computer vision pipelines

  using

  YOLO

  ,

  OpenCV

  ,

  Grounding DINO

  , and

  SAM

  for object detection and segmentation.

• Implement

  NLP solutions

  using

  transformer-based models (BERT, GPT, etc.)

  for chatbot and automation systems.

• Design and manage

  ETL pipelines

  and

  data preprocessing workflows

  using tools like

  Kafka

  and

  PySpark

  .

• Integrate AI components with web frameworks (

  FastAPI

  ,

  Next.js

  ) for real-time and interactive user experiences.

• Collaborate with cross-functional teams to optimize models for performance and scalability using

  ONNX

  and

  TensorRT

  .

• Research and apply cutting-edge

  AI agentic workflows

  with tools like

  LangChain

  ,

  LangGraph

  , and

  CrewAI

  .

Requirements:

• Programming:

  Python, C++, JavaScript

• Frameworks:

  TensorFlow, PyTorch, Keras, scikit-learn, FastAPI

• AI/ML Concepts:

  Reinforcement Learning, NLP, Computer Vision, Deep Learning

• Databases:

  SQL, NoSQL (MongoDB, Firebase), Vector Databases

• Tools & Platforms:

  PySpark, Kafka, AWS, Google Cloud, Git, GitHub, Bitbucket

• Optimization & Deployment:

  ONNX, TensorRT, LoRA/QLoRA

• Agentic AI & LLM Tools:

  LangChain, LangGraph, RAG, CrewAI, AutoGen

Preferred Experience (Projects or Similar Work):

• Retail AI Solutions:

  Automated product recognition and billing systems using VLLM and segmentation models.

• Conversational AI:

  Voice-enabled NLP chatbots for customer support using transformer models and Eleven Labs.

• Financial AI Systems:

  Multi-agent loan processing systems integrating OCR, NLP, and reinforcement learning for underwriting.

Qualification:

• B.Tech in Computer Science or related field (preferred: AI/ML specialization).

• 1–2 years of hands-on experience in AI/ML software development.

Note: