AI/ML Manager
7 days ago
Role & responsibilities
- Lead the design, development, and deployment of machine learning models and AI systems.
- Manage and mentor a team of data scientists, ML engineers, and analysts.
- Collaborate with cross-functional teams to identify opportunities for AI-driven solutions.
- Oversee the implementation of ML pipelines including data preprocessing, model training, evaluation, and deployment.
- Ensure scalability, performance, and reliability of AI/ML systems in production environments.
- Establish best practices for model governance, monitoring, and retraining.
- Drive innovation by exploring emerging ML techniques and tools.
- Communicate technical concepts and project progress effectively to stakeholders and leadership.
Preferred candidate profile
- Bachelors or Master's degree in Computer Science, AI, Data Science, or related field.
- Minimum 6 years of experience in AI/ML roles, with at least 2 years in a managerial or leadership capacity.
- Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
- Experience with cloud platforms (Google Cloud, AWS, Azure) and ML infrastructure.
- Solid understanding of data engineering, model deployment, and MLOps practices.
- Excellent problem-solving, communication, and team management skills.
- Experience in building and scaling AI solutions across different industries.
- Familiarity with data governance, security, and compliance in AI systems.
- Exposure to real-time inference systems and multi-modal ML models.
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