Description

Responsibilities include:

Lead the design, development, and deployment of scalable machine learning models and AI solutions.

Build and optimize end-to-end ML pipelines, including data preprocessing, training, inference, and post-processing.

Develop predictive models and perform statistical analysis to improve business outcomes and model performance.

Architect and implement machine learning infrastructure to support large-scale data processing and model deployment.

Monitor, evaluate, and enhance deployed models through continuous testing, optimization, and performance tracking.

Collaborate with cross-functional teams to ensure data security, system reliability, and successful project delivery.

Required Qualifications:

Bachelor’s or master’s degree in computer science, Machine Learning, Artificial Intelligence, Data Science, or a related technical field.

6+ years of experience in machine learning, deep learning, and AI model development in production environments.

Strong expertise in Python, PyTorch, TensorFlow, MLLib, and scalable machine learning infrastructure.

Proven experience with model training, inference optimization, predictive analytics, and deployment of ML solutions

Key Skills

Education

Any Graduate