Generative AI Data Engineer

Responsibilities

• Develop and deploy generative AI models, particularly focusing on ChatGPT, using Python on Azure or AWS Platform or .Net on Azure platform
• Engage in cutting-edge research and development to enhance the performance and efficiency of generative AI models.
• Design and maintain machine learning pipelines for training and deploying models, leveraging Azure services such as Azure Machine Learning, Azure Databricks, and Azure Cognitive Services.
• Collaborate with cross-functional teams to integrate AI capabilities into a wide range of applications, emphasizing Python or .Net development in Azure or AWS
• Stay updated with the latest trends and advancements in AI, machine learning, Azure technologies, and Python programming.
• Analyze complex datasets, employing Azure's data processing and analytics capabilities to refine model accuracy and effectiveness.
• Implement strategies for large-scale data processing and model training in the Azure cloud, using ,Net or Python or AWS as the primary programming language.
• Uphold ethical AI practices and adhere to data privacy and security regulations.
• Mentor junior team members in AI, machine learning,Python on Azure or AWS Platform or .Net on Azure platform
• Effectively communicate complex AI model behaviors and insights to both technical and non-technical stakeholders.

Competencies

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• At least 5 years of experience in data science, with a specific focus on AI and machine learning.
• Demonstrated experience in building and deploying generative AI models, like ChatGPT.
• Proficient in .Net or Python programming, with a strong background in using Python for machine learning and AI development.
• Extensive experience with AWS or Azure cloud services
• Solid understanding of generative AI principles, natural language processing, and machine learning frameworks like TensorFlow or PyTorch.
• Experience in handling large datasets and familiarity with big data technologies.
• Exceptional analytical and problem-solving skills.
• Strong communication skills and the ability to lead initiatives