Technical Lead - Generative AI (7-10 yrs)

Roles and Responsibilities :

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.

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.

Data Analysis :

- Analyse and understand large volumes of structured and unstructured data, extracting meaningful insights to drive AI model development and decision-making processes.

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.

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.

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.

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.

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.

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 pre-processing, 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.