Data Scientist-Generative AI

• Develop and deploy generative AI models using large language models (e.g., GPT-4, BERT) for applications including chatbot and agent development.
• Craft prompts and fine-tune pre-trained models to align with specific business requirements.
• Manage and optimize AI solutions on GCP, leveraging services such as Vertex AI.
• Collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders.
• Stay updated with the latest advancements in generative AI and machine learning technologies.

• Advanced degree (Master’s or PhD) in Computer Science, Statistics, or a related quantitative field.
• Proven experience in developing and deploying generative AI solutions in a production environment.
• Strong programming skills in Python and proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch).
• Deep expertise in large language models (LLMs) like GPT-4 and BERT, with a proven track record in developing and deploying chatbots and intelligent agents.
• Mastery of crafting effective prompts and fine-tuning pre-trained models to achieve optimal performance for specific business objectives.
• Proficiency in assessing generative AI model quality using a variety of metrics and techniques, including human-in-the-loop evaluation.
• In-depth knowledge of Google Cloud Platform’s AI tools and services, including Vertex AI, Natural Language API, and BigQuery for data processing and model deployment.
• Strong foundation in MLOps practices, with experience in CI/CD pipelines, model deployment, monitoring, and version control for generative AI models.
• Excellent problem-solving and analytical abilities, with a passion for exploring new AI frontiers.
• Preferred Certifications: Google Certified Professional Machine Learning Engineer, or equivalent certifications.