The company is looking to develop and deploy scalable AI/ML solutions to drive business value across the enterprise, including the design, development, and implementation of GenAI models & agents.
Requirements
- Proven experience deploying AI/ML models in production environments.
- Proficiency in Python, SQL, and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of MLOps, data engineering pipelines, and cloud platforms (e.g., Azure, AWS).
- Experience with tools like Databricks, Azure ML, and Snowflake.
- Understanding of AI security and compliance frameworks.
Responsibilities
- Lead the design, development, and implementation of GenAI models & agents.
- Oversee the end-to-end lifecycle of AI/ML projects—from use case definition and data preparation to model development, deployment, and monitoring.
- Ensure the scalability, reliability, and performance of AI models and analytics platforms.
- Develop and implement best practices for AI model development, deployment, and monitoring.
- Execute the AI and data science roadmap aligned with business goals and digital transformation initiatives.
- Drive rapid prototyping and proof-of-concept development for emerging AI use cases, including generative AI, predictive modeling, and intelligent agents.
Other
- 8+ years of experience in data science, machine learning, or AI, with at least 3 years in a manager role.
- Excellent communication and stakeholder management skills.
- Semiconductor industry experience.
- Understanding of ERP platform and experience in enabling AI in business functions like sales, HR, finance, operations, etc.
- Self-motivated, able to multitask, prioritize, and manage time efficiently
- Strong problem-solving skills
- Data analysis skills. Ability to analyze complex data and turn it into actionable information
