We are an AI early-stage startup, seeking an equity-eligible Technical Cofounder with demonstrated expertise in Deep Learning Data Engineer and Developer, Generative AI Model to support the technical design, development, and deployment of novel AI Reasoning engine and complementary AI applications and AI Agent that detects and predicts innovations, using a patent-pending AI reasoning engine (based on a proven methodology). Review international patent filing to align skills https://patentscope.wipo.int/search/en/detail.jsf?docId=WO2024019697
Responsibilities
- Develop and implement AI/ML models and algorithms to advance opportunities to discover new innovations and disruptions.
- Translate lifecycle methods for front-end innovation into programing code (Python, NLP, RAG).
- Collaborate with cross-functional teams to understand requirements and translate them into technical solutions.
- Design and develop data pipelines to preprocess and transform data for AI/ML models.
- Train and evaluate AI/ML models using large datasets.
- Optimize and fine-tune AI/ML models for performance and accuracy.
- Deploy AI/ML models into production environments.
- Experience developing AI Agent interfaces for foundational models.
- Monitor and maintain deployed models, ensuring their performance and reliability.
- Stay up-to-date with the latest advancements in AI/ML technologies and techniques.
- Design graph data models specifically for algorithm optimization.
- Design and add the data from the physical and logical infrastructure components and their relationships.
- Developing and implementing data ETL pipeline for cloud applications.
- Establishing data ETL processes used to move data from a source or multiple sources into a database such as a data warehouse.
- Generative AI Training Dataset Consultant.
- Retrieval Augment Generation (RAG).
- Experience in NLP (BERT).
- Experience developing Generative AI models (GAN).
Qualifications
• U.S Citizen (sorry, this position is ineligible for sponsorship)
• Master's or Ph.D degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
• 6+ years of experience working in data science, data engineering, software engineering, or MLOps • 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision, to graph models • 6+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.)
• 6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms
• 4+ years of experience managing teams and delivering complex and critical projects
• Ability to travel 10%, on average
Preferred Qualifications:
• Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio
• Background working in Autonomous Systems
• Foundational Model experience (Anthropic, Google, OpenAI)
• Excellent verbal and written communication skills and experience in a client-facing or team management role is preferred
• Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations
Send CV to welcome@thenextish.com (Subject: [position description])