AI /ML Manager
4 days ago
Job Description:
- Contribute to the Organization's overall AI strategy, leveraging cutting-edge technology to drive digital transformation and accelerate Gen AI adoption.
- Strategize, and maintain enterprise roadmap to drive key data science and AI initiatives based on business and technical needs within the Organization.
- Shape and execute digital transformation strategies that address the business need and incorporate advanced generative AI to enhance operational efficiency, innovation, and business values.
- Apply AI using machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services.
- Collaborate and work closely with cross functional AI development teams (data scientists, AI developers), cross functional IT teams and business domain experts to manage project lifecycles.
- Ensure AI models and products are delivered on time, within scope and budget.
- Define and track key performance indicators (KPIs) and success metrics for AI initiatives.
- Ensure continuous monitoring and optimization of AI solutions post-deployment.
- Deploy data science solutions into production environments, ensuring their scalability, reliability, performance, and governance. Integrate AI models with existing systems and APIs.
- Develop and maintain AI standards, central documentation, and corporate governance to manage AI solutions.
- Advance the organization's AI capabilities through consistent thought leadership, external outreach, and the development of new service offerings.
Requirements;
- Bachelor or master's degree in computer science, AI or a related field from accredited institution.
- Minimum 6+ years of professional experience in AI/ ML and LLM engineering or a related field.
- Technical Expertise: Deep understanding of AI/ML concepts, algorithms, and frameworks (e.g., Python, TensorFlow, PyTorch). Proficiency in data engineering, cloud computing, and MLOps practices.
- Prior experience as a project member of an AI/ ML implementation project.
- Certifications in data science or related areas are a plus.
- Knowledge of semiconductor (OSAT) domain is a plus.
Digital Transformation
Information Retrieval
TensorFlow
Machine Learning
Corporate Governance
Scalability
Cloud Computing
Reliability
Strategy
Data Engineering
Thought Leadership
Data Mining
PyTorch
Python
Data Science
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