Description

You will develop and deploy machine learning solutions across the full stack, from data ingestion to model serving.

This role is on-site.

Responsibilities

• Design and implement predictive models using ML and Deep Learning techniques.
• Process, clean, and engineer features from raw datasets for model training.
• Develop and test computer vision models, including Object Detection using YOLO v8 and SAM.
• Build and maintain data pipelines leveraging cloud services and big data tools.
• Evaluate model performance and iterate on designs to meet accuracy targets.

Required Skills

• 8+ years of professional experience in ML Engineering or a related field.
• Expert proficiency in Python and Object-Oriented Programming (OOPs).
• Strong command of SQL across MySQL, Postgres, and BigQuery.
• Hands-on experience with TensorFlow and Keras for deep learning implementation.
• Experience with cloud platforms including AWS (S3, SageMaker) or Azure (Azure ML Studio, Azure Functions).
• Proficiency in data manipulation using Pandas, NumPy, and PySpark.
• Familiarity with model serving and deployment using Docker.
• Experience with NLP, Computer Vision, and Transfer Learning concepts.

Key Skills

Education

Any Gradute