Technical Architect – Gen AI, Open AI – Data Scientist

Location – Bangalore/Hyderabad

Job/Role Description:

• Proven experience as a Technical Architect in Gen AI/ML projects with a focus on data science technologies.
• Experience – 15+ years

Primary Skills:

• OpenAI Expertise: Profound knowledge of OpenAI technology, including experience with GPT-based models, fine-tuning, and deployment.
• Architecture Design: Proven expertise in designing scalable and robust systems using OpenAI technology.
• Machine Learning: Proficiency in machine learning concepts and algorithms like supervised, unsupervised, and forecasting.
• Programming Languages: Proficiency in Python and familiarity with libraries and frameworks for AI development.
• API Integration: Experience in integrating OpenAI APIs and SDKs into applications and services.
• Data Processing: Strong skills in data preprocessing, transformation, and feature engineering for AI model input.
• Security and Compliance: Knowledge of security and compliance best practices in AI solutions.
• Documentation: Excellent documentation and communication skills.

Secondary Skills:

• Natural Language Processing (NLP): Familiarity with NLP techniques, libraries, and pre-processing for text data.
• Machine Learning: Proficiency in machine learning concepts and algorithms.
• Cloud Services: Experience with cloud platforms (e.g., AWS, Azure, GCP) for deploying AI solutions.
• Databases: Knowledge of databases, including SQL and NoSQL systems.
• Version Control: Proficiency with version control tools like Git.
• DevOps: Basic knowledge of DevOps practices for AI model deployment and monitoring.
• Agile Methodologies: Experience working in Agile development environments.

Primary Responsibilities:

• AI Solution Design: Lead the design of AI solutions powered by OpenAI technology, defining system architecture and components.
• Technical Leadership: Provide technical leadership and guidance to development teams in implementing OpenAI solutions.
• OpenAI Model Selection: Identify and recommend the appropriate OpenAI models, such as GPT-3, GPT-4, or specific language models, based on project requirements.
• Scalability and Performance: Ensure that AI solutions are scalable and optimized for performance, especially when dealing with large datasets.
• API Integration: Integrate OpenAI APIs and SDKs into applications and services, ensuring seamless functionality.
• Model Fine-Tuning: Collaborate with data scientists to fine-tune OpenAI models for specific use cases or domains.
• Data Processing: Oversee data preprocessing and feature engineering to prepare data for input into OpenAI models.
• Security and Compliance: Address security and compliance considerations in OpenAI-powered solutions, particularly when handling sensitive data.
• Documentation: Create and maintain technical documentation for OpenAI architectures, model usage, and best practices.
• Training and Mentorship: Mentor team members and facilitate knowledge sharing and skill development.

Key Skills: Azure Open AI, Gen AI, Python, ML, Open AI Architecture, OpenAI API