Responsibilities

• Develop and implement advanced AI models and algorithms to solve complex problems.
• Collaborate with cross-functional teams to design and deploy AI-driven applications.
• Conduct research and stay updated on the latest advancements in Generative AI and AI&ML concepts.
• Optimize and fine-tune AI models for performance scalability and accuracy.
• Provide technical guidance and mentorship to junior developers and team members.
• Analyze and interpret data to extract meaningful insights and drive decision-making.
• Create and maintain comprehensive documentation for AI models algorithms and processes.
• Ensure the integration of AI solutions with existing systems and workflows.
• Participate in code reviews and contribute to the continuous improvement of development practices.
• Develop and execute test plans to validate the functionality and performance of AI models.
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
• Monitor and evaluate the performance of AI models in production environments.
• Identify and address potential risks and challenges associated with AI projects.

Qualifications

• Possess a strong background in Generative AI and AI&ML concepts.
• Demonstrate proficiency in programming languages such as Python R or Java.
• Have experience with machine learning frameworks like TensorFlow PyTorch or Keras.
• Show expertise in data preprocessing feature engineering and model evaluation.
• Exhibit strong problem-solving skills and the ability to think critically.
• Have excellent communication and collaboration skills.
• Hold a degree in Computer Science Engineering or a related field.
• Nice to have experience with cloud platforms like AWS Azure or Google Cloud.
• Be familiar with version control systems like Git.
• Show a commitment to continuous learning and professional development.