Machine Learning Lead
3 days ago
We are seeking an experienced AI Lead with a minimum of 10 years of industry experience in the field of Artificial Intelligence. The ideal candidate will have a proven track record of successfully leading and delivering multiple projects in Machine Learning, Deep Learning, and Natural Language Processing (NLP). Additionally, they should possess sound knowledge in Generative AI and Large Language Models (LLMs).
Responsibilities:
- Project Leadership: Lead end-to-end AI projects, from conception to delivery, ensuring alignment with business objectives and stakeholder requirements
- Technical Expertise: Serve as a subject matter expert in AI, providing guidance and support to the team in the development and implementation of advanced machine learning and deep learning models
- Research and Development: Stay abreast of the latest advancements in AI technologies and methodologies, conducting research and experiments to drive innovation and enhance project outcomes
- Team Management: Manage and mentor a team of junior data scientists and machine learning engineers, providing technical guidance, coaching, and professional development opportunities
- Collaboration: Collaborate closely with cross-functional teams, including product management, engineering, and business development, to identify opportunities for leveraging AI to solve business challenges and drive growth
- Quality Assurance: Ensure the quality and accuracy of AI solutions through rigorous testing, validation, and performance monitoring
- Strategic Planning: Contribute to the development of AI strategies and roadmaps, outlining key initiatives and milestones to support business objectives
Qualifications:
- Bachelors degree in computer science, Engineering, Mathematics, or related field
- Advanced degree (Master's or PhD) preferred
- Minimum of 10 years of industry experience in artificial intelligence, with a focus on machine learning, deep learning, and NLP
- Proven track record of leading and delivering multiple AI projects from conception to completion
- Expertise in machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn
- Expertise in MLOps tools, Databricks, and AI services offered by cloud platforms such as Azure, AWS, and GCP
- Experience with Generative AI and Large Language Models (LLMs) such as GPT, BERT, or Transformer models
- Excellent leadership and communication skills, with the ability to effectively manage and mentor a team of junior data scientists and ML engineers
- Strong analytical and problem-solving skills, with a keen attention to detail and a commitment to delivering high-quality results
- Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and requirements
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