Your responsibilities

• Developing and implementing machine learning models to solve specific business problems, such as predictive analytics, classification and recommendation systems
• Performing exploratory data analysis, clean, preprocess data, identifying trends, patterns, evaluating the performance of machine learning models and fine-tune them for optimal results
• Creating informative, visually appealing data visualizations to communicate findings and insights to non-technical stakeholders
• Conducting statistical analysis, hypothesis testing and A or B testing to support decision-making processes. Working with data engineers to integrate, transform and store data from various sources
• Collaborating with cross-functional teams, including business analysts, data engineers and domain experts to understand business objectives and developing data science solutions
• Preparing clear, concise reports, documentation to communicate results and methodologies. Staying updated with the latest data science, machine learning trends and techniques

Your background

• MS (by Research) or M. Tech in science and engineering from a reputed institution
• Minimum 3 to 5 years of experience in Python (preferred), R and Matlab with deep learning frameworks like PyTorch and tensorflow is preferred
• Should be able to deploy model using cloud services like Azure Databricks or Azure ML Studio
• Domain knowledge of manufacturing or process Industries, physics and first principle based analysis