Data Science

Job Responsibilities -

• Develop and implement advanced machine learning models to solve complex business problems, translating analytical findings into tangible business solutions.
• Develop computer vision algorithms and deploy them to production environments, ensuring seamless integration with existing systems and infrastructure.
• Understand business requirements by working closely with domain experts to define problem statements and success metrics that align with organizational goals.
• Collaborate with data engineers to design and implement efficient data pipelines that support model development, training, and deployment.
• Analyse large datasets to extract meaningful insights, identify patterns, and drive data-informed decision making across the organization.
• Work with the mother company's (PSMC) AI team to understand use cases, align strategies, and leverage existing resources and expertise.
• Optimize and fine-tune machine learning models for scalability, ensuring they can handle increased data volumes and maintain performance under varying conditions.
• Monitor model performance post-production deployment, implementing systems to track key metrics and ensure adherence to established performance standards.
• Ensure data quality and integrity by implementing rigorous validation processes and addressing data gaps or inconsistencies before model development.
• Communicate technical findings to non-technical stakeholders through clear visualizations, reports, and presentations that translate complex analysis into actionable insights.

Essential Attributes -

• Willing to work in semiconductor domain and building cutting edge AI/ML system.
• Proficiency in Computer vision/ Python code writing.
• Ability to understand and debug code.
• Understanding of Linux OS.
• Experience in working with large dataset and improving data pipelines.
• Deep Understanding of CNN, RNN, DNN s Mathematics.
• Experience in computer vision model deployments.
• Excellent teamwork skills to work closely with Manufacturing, Quality, and IT teams.
• Ability to communicate technical issues and solutions effectively to cross-functional teams.
• Enthusiasm for learning newAI/ML technologies, tools.

Qualifications -

• BE/ ME in Computer science, Machine Learning, Electronics Engineering, Applied mathematics, Statistics.