Generative AI Lead
1 month ago
Roles and Responsibilities
1. Lead AI Projects: Take ownership of AI initiatives, from conception to deployment, by collaborating with cross-functional teams and stakeholders, and ensuring successful project delivery.
2. Technical Leadership: Provide technical leadership and guidance to the AI development team, ensuring adherence to best practices, efficient implementation of AI models, and quality code development.
3. Data Analysis: Analyse and understand large volumes of structured and unstructured data, extracting meaningful insights to drive AI model development and decision-making processes.
4. AI Model Development: Develop and deploy AI models that leverage a variety of techniques, including machine learning, deep learning, and Generative AI. Ensure the models are scalable, accurate, and robust.
5. LLM Expertise: Apply your expertise in Large Language Models (LLMs) to enhance the performance and capabilities of AI models, leveraging state-of-the-art techniques and staying up-to-date with the latest advancements in the field.
6. Performance Optimization: Optimize AI models for performance, efficiency, and scalability, leveraging techniques such as model compression, quantization, and parallel processing to improve execution time and resource utilization.
7. Model Evaluation: Design and implement evaluation frameworks to measure the performance and effectiveness of AI models, including metrics for accuracy, precision, recall, and other relevant parameters.
8. Collaboration and Communication: Collaborate with cross-functional teams, including data scientists, engineers, product managers, and business stakeholders, to understand requirements, provide technical insights, and ensure alignment with organizational goals.
9. Industry Trends: Stay abreast of the latest trends, research, and advancements in the AI field, and proactively explore opportunities to leverage emerging technologies and techniques for continuous improvement.
Documentation and Reporting: Create and maintain comprehensive documentation, including technical specifications, model architectures, and project reports, to facilitate knowledge sharing and project management processes.
Requirements
Bachelor's degree in any field
MSc/BE/Masters with specialization in IT/Computer Science
Experience in a 'Data Scientist' role and overseeing data-centered projects
Experience: 10 to 15 years of industry experience working on AI projects, handling large volumes of data, and developing and deploying multiple AI models.
Technical Skills:
• Strong programming skills in languages such as Python, Java, or C++.
• Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with Generative AI techniques and LLMs, such as GPT (Generative Pre-trained Transformers).
• Familiarity with data preprocessing, feature engineering, and data visualization techniques.
• Knowledge of cloud platforms and technologies for scalable AI model deployment, such as AWS, Azure, or Google Cloud.
• Understanding of software engineering principles and best practices, including version control, testing, and debugging.
• Analytical Skills: Excellent analytical and problem-solving abilities, with a strong attention to detail and the ability to extract meaningful insights from complex data sets.
• Leadership and Communication: Demonstrated leadership skills, with the ability to lead and inspire a team, collaborate effectively with cross-functional stakeholders, and communicate technical concepts to non-technical audiences.
• Continuous Learning: A passion for staying up to date with the latest advancements in AI, machine learning, and Generative AI techniques, with a commitment to continuous learning and self-improvement.
• We offer a competitive salary package and a stimulating work environment where you will have the opportunity to make a significant impact through your expertise in AI and leadership skills. If you are a driven and experienced AI professional with a strong background in handling large volumes of data and developing AI models, we would love to hear from you.
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