[Urgent Search] Machine Learning Intern

LEAD ML DEVELOPER

Hyperworks Imaging is a cutting-edge technology company based out of Bengaluru, India since 2016. Our team uses the latest advances in deep learning and multi-modal machine learning techniques to solve diverse real world problems. We are rapidly growing, working with multiple companies around the world.

JOB OVERVIEW

We are seeking a talented and results-oriented lead ML Developer to join our growing team in India. In this role, you will be responsible for developing and implementing new advanced ML algorithms at the intersection of energy and climate change.

The ideal candidate will work on a complete ML pipeline starting from extraction, transformation and analysis of data to developing novel ML algorithms. The candidate will implement latest research papers and closely work with various stakeholders to ensure data-driven decisions and integrate the solutions into a robust ML pipeline.

RESPONSIBILITIES :

• Extract, clean, and transform data from various sources
• Develop and implement web scraping scripts
• Build and maintain data pipelines for efficient data ingestion and processing.
• Perform data analysis using libraries like Pandas, NumPy, and Matplotlib to identify trends, patterns, and insights.
• Implement data pipelines and novel machine learning algorithms for processing satellite imagery, geophysical data, and other relevant datasets using Python, PyTorch and TensorFlow.
• Optimize and evaluate ML models to ensure accuracy and performance.
• Define system requirements and integrate ML algorithms into cloud based workflows.
• Write clean, well-documented, and maintainable code following best practices
• Stay up-to-date with advancements in data science and geology, carbon sequestration and resource mapping methods.

REQUIREMENTS :

WHO CAN APPLY :

Only those candidates will be considered who,

Please note that we will reach out to ONLY those applicants who satisfy the criteria listed above.

SALARY DETAILS : Commensurate with experience.

JOINING DATE : Immediate

JOB TYPE : Full-time