Data Science Professional
3 days ago
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.
Experience -
2yrs - 5yrs
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