Federato

Benefits:

• stock options

• benefits

• additional perks

Experience Requirements:

• at least 6 months of relevant internship experience in a similar role

Other Requirements:

• Practical experience through coursework, internships, or personal projects in applying machine learning techniques, ideally with some exposure to NLP models, prompt engineering, and working with LLMs

• Familiarity with version control (Git), CI/CD pipelines, and deploying ML models or services locally or in cloud environments

• Proficiency in Python for building and testing ML models, with experience using popular ML and data libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy

• Enthusiasm for customer-facing work, including the ability to understand specific use cases and adjust ML models accordingly

Responsibilities:

• Quickly deploy and test the current LLM-powered pipeline locally for specific customer use cases, making necessary adjustments to ensure alignment with customer requirements, and documenting findings clearly

• Take ownership of deploying product improvements based on customer-specific requests, pushing code and configuration changes to GitHub, and collaborating closely with product and engineering teams for smooth integration

• Build and maintain a repository of prompts for various scenarios that would be leveraged for any prospective customer proof of concept, iterating on these to optimize performance and ensure they are production-ready when needed

• Lead technical PoC projects with prospective customers, showcasing the capabilities of the ML models, addressing their specific needs, and gathering feedback to inform future improvements

• Collaborate with the team to ensure continuous monitoring of deployed models, focusing on improving accuracy and performance within a structured ML framework while learning best practices for pipeline maintenance

Benefits:

• stock options

• benefits

• additional perks

Experience Requirements:

• at least 5 years

• Proven experience in designing, training, benchmarking, and fine-tuning machine learning models, particularly with NLP models and large language models (LLMs)

Other Requirements:

• Experience in building scalable ML pipelines using tools such as Kubeflow

• Knowledge of automating and monitoring ML workflows to ensure consistent model performance in production

• Hands-on experience with cloud platforms, including deploying models, managing cloud resources, and using relevant APIs for data intake, storage, and processing

• Great communication skills with the ability to convey complex findings to non-technical audiences

Responsibilities:

• Design and implement scalable machine learning pipelines, optimizing prompt engineering workflows to enhance accuracy and efficiency in submission intake processes across multiple insurance use cases

• Evaluate and benchmark open-source large language models (LLMs), selecting and fine-tuning the most effective ones to address business-specific requirements while maintaining an eye on adaptability and future innovation

• Continuously research and incorporate the latest advancements in prompt engineering and model optimization to refine prompts for precision and relevance, contributing to a robust, cutting-edge ML infrastructure

• Collaborate cross-functionally, serving as a technical lead for junior team members, providing mentorship and guidance to elevate team performance and technical knowledge

• Ensure production-grade deployment standards, emphasizing scalability, reliability, and compliance with insurance data handling policies, balancing rapid iteration with stability

Benefits:

• stock options

• benefits

• additional perks

Education Requirements:

• B.S. in Computer Science or a related technical discipline, or equivalent experience

Experience Requirements:

• 6+ years of software engineering, systems engineering, or technical product/program management experience

• Experience owning a SaaS implementation or delivery

Other Requirements:

• Knowledge of user needs, gathering requirements, and defining scope

• Exceptional project management skills

• Experience operating autonomously across multiple teams, demonstrated critical thinking, and thought leadership

• Communication experience and previous successes in defining processes

• Organizational coordination experience and experience establishing work relationships across multi-disciplinary teams and multiple partners

• Analytical and problem-solving experience with complex systems and processes

• Coding competence in Javascript and SQL

Responsibilities:

• Lead aligned program teams to efficiently deliver successful customer implementations on time with quality

• Develop and own and leverage project plans to effectively and proactively communicate program status, issues, and risks to stakeholders

• Define and track key metrics and key quality and performance indicators and drive cross functional execution of program deliverables

• Partner with cross functional teams to drive technical analysis, design, development, testing, implementation, and post implementation phases

• Drive internal and external process improvements across multiple teams and functions including reducing the manual efforts through automation