Artificial Intelligence/Machine Learning Lead
21 hours ago
Description
Role Overview :
We are seeking a visionary AI Lead to design, develop, and deploy cutting-edge AI and machine learning solutions that drive business transformation.
The ideal candidate combines deep technical expertise with strategic leadership to guide cross-functional teams in leveraging AI for innovation, efficiency, and growth.
Key Responsibilities
Strategy & Leadership :
- Define and drive the organizations AI strategy and roadmap aligned with business objectives.
- Lead a team of data scientists, ML engineers, and AI researchers.
- Collaborate with product, engineering, and business stakeholders to identify and prioritize AI initiatives.
- Stay current with emerging AI technologies and assess their potential impact.
Technical Execution
- Architect and oversee the development of scalable AI/ML models and pipelines.
- Ensure end-to-end model lifecycle management - from data collection and feature engineering to deployment and monitoring.
- Implement responsible AI practices, ensuring transparency, fairness, and compliance with ethical standards.
- Optimize model performance and ensure robustness in production & Mentorship :
- Mentor and upskill team members in machine learning, data engineering, and AI frameworks.
- Foster a culture of experimentation, innovation, and continuous improvement.
- Collaborate with data engineering teams to ensure efficient data flow and infrastructure support for AI solutions.
Qualifications
Education :
- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Experience
- 3+ years of experience in data science, AI, or machine learning roles, with at least 2+ years in a leadership capacity.
- Proven experience designing and deploying production-grade AI/ML systems.
- Strong understanding of cloud AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI).
- Hands-on experience with frameworks such as TensorFlow, PyTorch, scikit-learn, or Hugging Face.
Skills
- Deep knowledge of machine learning, deep learning, NLP, and generative AI.
- Strong programming skills in Python, R, or similar languages.
- Excellent leadership, communication, and stakeholder management skills.
- Experience with MLOps, data pipelines, and version control (Git, MLflow, Docker, etc.
)
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