Data Analyst (AI/ML)

Job description

We are looking for a Data analyst to join our engineering team and help us develop and maintain various AI/ML Driven Python Projects.

Data analyst responsibilities include writing and testing code, debugging programs, and integrating applications with third-party web services.

Ultimately, you'll build highly responsive web applications that align with our business needs.

Key Responsibilities:

Develop, implement, and optimize computer vision algorithms for object detection & recognition, classification, and segmentation.

Build, train, and deploy deep learning models using TensorFlow and PyTorch frameworks.

Design and maintain robust, scalable, and efficient code in Python.

Work with large datasets, preprocess images/videos and apply augmentation techniques.

Evaluate and integrate state-of-the-art models from research papers into real-world applications.

Debug, test, and improve model performance to meet project requirements.

Deploy models into production environments using tools such as TensorFlow Lite, ONNX, and TensorRT.

Document code, workflows, and processes to ensure clarity and maintainability.

Preferred Skills:

Proficiency in Python with strong problem-solving and algorithmic thinking.

Hands-on experience with deep learning frameworks such as TensorFlow and PyTorch.

Familiarity with popular computer vision libraries like OpenCV.

Knowledge of tools like TFLite, TensorRT, or ONNX for model optimization and deployment.

Familiarity with creating Rest API using the FastAPI framework.

Exposure to the annotation tools Label Studio or LabelImg.

Experience in training and fine-tuning pre-trained models (e.g., YOLOv7, EfficientDet, etc.).

**The candidate should have 6 month training or internship**