As a Generative AI Scientist, you will report to the Director, IT. You will leverage the power of generative AI models to help build out internal products for Mission Cloud that will solve challenges across different teams. You will design and propose solutions, help teams understand how the models will benefit them and build out cutting-edge solutions. Your work will contribute to the development of groundbreaking AI solutions that shape the future of technology and innovation.

This position is 100% remote.

Responsibilities

• Facilitate design sessions with the Mission Cloud team to create the strategy, architecture, and implementation plan for generative AI implementation
• Design, develop, and deploy generative AI models that demonstrate high performance and efficiency in solving complex problems
• Collaborate with data scientists, engineers, and domain experts to integrate generative AI solutions into existing systems or products
• Implement and fine-tune existing generative AI algorithms and models to meet specific use-case requirements, including scalability and resource efficiency
• Conduct thorough testing and validation of generative AI solutions to ensure accuracy, reliability, and robustness
• Communicate proposed solutions to internal team so they understand the benefits, translating technical elements into business language
• Develop strategic roadmaps and project plans based on Mission goals
• Work with Project Managers to set customer expectations, drive alignment, and coordinate timelines
• Explore and experiment with the latest advancements in generative AI research to improve system performance and capabilities
• Stay up-to-date with the latest trends, tools, and technologies in the generative AI field
• Document the implementation process, provide technical documentation, and contribute to knowledge sharing within the team
• Lead strategic initiatives within Mission Cloud to keep DAML at the forefront of AI and AWS technologies
• Contribute marketing materials for Mission Cloud in the Generative AI space

Requirements

• Proven experience in implementing and deploying generative AI models in practical applications
• Strong programming skills in languages like Python, TensorFlow, PyTorch, or similar AI frameworks
• Solid understanding of deep learning architectures and generative models such as GANs, VAEs, etc
• Familiarity with natural language processing (NLP) and computer vision (CV) applications in generative AI
• Experience in data pre-processing, feature engineering, and data augmentation for training generative models
• Proficiency in data manipulation, statistical analysis, and model evaluation techniques
• Strong problem-solving and analytical skills, with the ability to think creatively and adapt to new challenges
• Excellent communication skills to collaborate with interdisciplinary teams and present complex technical concepts to non-technical stakeholders
• Passion for continuous learning and a keen interest in exploring the potential of generative AI in various industries
• AWS Solution Architect - Professional Certification (required within 6 months of hire)
• AWS Specialty Certification - Machine Learning (required within 1 year of hire)

Perks & Benefits

• We offer a reward and wellbeing package to enable your work to fit with your life. These can include, but not limited to:
• Access to health, vision and dental insurance with options 100% covered by Mission Cloud for employee and their dependents
• Flexible Spending Accounts (Healthcare & Dependent Care)
• Generous Paid Time Off (FlexPTO, parental leave, volunteering time off)
• Reproductive health benefits
• Pet insurance
• 401k matching program
• Life insurance paid by Mission Cloud
• Monthly flex stipend
• Monthly cell phone stipend
• Home office expense benefit
• An internal department dedicated to helping team members on their career path
• Inclusive work environment with several Employee Resource Groups