AI/ML Engineer

Overview

On Site
Depends on Experience
Full Time

Skills

Python
TensorFlow
PyTorch
Keras
OpenCV
DVC
MLflow
Git
CI/CD

Job Details

Skills: Python, TensorFlow, PyTorch, Keras, OpenCV, DVC, MLflow, Git, CI/CD

7+ years of hands-on experience in applied machine learning, deep learning, and AI system deployment

Strong Python engineering background with ML/DL frameworks: TensorFlow, PyTorch, Keras, OpenCV

Proven experience in Computer Vision tasks, including object detection, segmentation, and OCR

Experience training and fine-tuning models such as: YOLOv5/v8, EfficientNet, Faster-RCNN, TrOCR, Vision Transformers (ViT)

Practical experience building and serving REST APIs for inference (TF Serving, TorchServe, FastAPI)

Hands-on with MLOps tools: DVC, MLflow, Git, CI/CD, containerization (Docker/Kubernetes)

Cloud deployment experience (Azure preferred; AWS or Google Cloud Platform acceptable)

LLM/GenAI experience: building, fine-tuning, or prompting models such as GPT-4, LLaMA, Claude, etc.

Familiarity with RAG (Retrieval-Augmented Generation) pipelines and integration into enterprise systems

Understanding of Agentic AI architectures (e.g., LangChain, CrewAI, AutoGPT) for orchestrated task agents or workflow automation

Strong foundations in statistics, optimization, and deep learning principles

Clear understanding of AI governance, fairness, and model explainability

Responsibilities:

Work on ML Solution for RxQuality for MFC Project

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