Manager AI

5 days ago

Bangalore, India Onsemi Full time

The AI and Data Science Manager will lead a cross-functional team of data scientists, machine learning engineers, and AI specialists to develop and deploy scalable AI/ML solutions that drive business value across the enterprise. This role requires a strategic thinker with hands-on technical expertise and a strong ability to translate business challenges into data-driven solutions.

Key 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.
• Develop timelines, milestones, and metrics to effectively plan and execute projects.
• Ensure the scalability, reliability, and performance of AI models and analytics platforms.
• Manage and mentor a team of data scientists and AI/ML engineers.
• Translate complex technical concepts and insights to non-technical stakeholders.
• Support and build presentations on our GenAI products & solutions for clients and leadership.
• 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.
• Team Management: Lead, mentor, and grow a high-performing team of data scientists, ML engineers, and analysts. Foster a collaborative and innovative team culture.
• Cross-Functional Collaboration: Partner with business units, IT, and product teams to identify opportunities for AI-driven automation and insights.
• Innovation & Prototyping: Drive rapid prototyping and proof-of-concept development for emerging AI use cases, including generative AI, predictive modeling, and intelligent agents

Requirements:
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• 8+ years of experience in data science, machine learning, or AI, with at least 3 years in a manager role.
• Proven experience deploying AI/ML models in production environments.
• Proficiency in Python, SQL, and ML frameworks (., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of MLOps, data engineering pipelines, and cloud platforms (., Azure, AWS).
• Excellent communication and stakeholder management skills.

Preferred Knowledge and Experience:
• Semiconductor industry experience.
• Experience with tools like Databricks, Azure ML, and Snowflake.
• Understanding of ERP platform and experience in enabling AI in business functions like sales, HR, finance, operations, etc.
• Understanding of AI security and compliance frameworks.

Competencies:
• 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
• Collaboration and teamwork across multiple functions and stakeholders around the globe
• Flexibility and adaptability
• Process management / process improvement
• Drive for results, Able to work under pressure and meet deadlines

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