Senior Machine Learning Engineer @ Pinnacol Assurance | Jobright.ai
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Pinnacol Assurance · 3 weeks ago

Senior Machine Learning Engineer

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Responsibilities

Lead Model Deployment: Design, implement, and scale production-grade deployment pipelines for large language models in AI-powered chat and search applications.
CI/CD Optimization: Enhance continuous integration and continuous delivery processes, specifically focused on machine learning workflows and the unique demands of AI models.
Cloud Infrastructure Expertise: Drive the development and maintenance of cloud infrastructure to support efficient model training, deployment, and continuous improvement.
Software Development Best Practices: Apply and promote exceptional software development principles to ensure robustness, scalability, and maintainability of machine learning systems.
Data Pipeline Enhancement: Collaborate with the data science team to streamline data pipelines, optimizing the flow of medical, claims, and policy data into AI chat/search services.
Team Collaboration and Knowledge-Sharing: Mentor and guide other team members on deployment strategies, tools, and techniques specific to large language models.
Technical Documentation: Create detailed documentation of deployment processes, infrastructure, and best practices to ensure knowledge transfer and system longevity.
Participate in code reviews and technical design discussions.
Stay updated on cutting-edge advancements in machine learning deployment and infrastructure.
Contribute to the team's knowledge base through workshops and presentations.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Software Development FoundationsLLM Deployment ExperienceCloud ProficiencyCI/CD ExpertiseCollaborative MindsetPassion for AI ApplicationsContainerizationDockerKubernetesAI infrastructure toolsVertex AIKubeflowMlflowNatural Language ProcessingNLP techniquesSpaCyHugging Face TransformersHealthcare domainInsurance domain

Required

Strong Software Development Foundations: Proven experience with Python, SQL, and software engineering principles.
LLM Deployment Experience: Demonstrable experience deploying LLMs in production environments.
Cloud Proficiency: Deep understanding of container-based application deployment within a cloud architecture, ideally within Google Cloud Platform.
CI/CD Expertise: Experience streamlining CI/CD processes for machine learning projects, including model versioning, testing, and monitoring.
Collaborative Mindset: Ability to work effectively with data scientists, engineers, and stakeholders throughout the development lifecycle.
Passion for AI Applications: A genuine enthusiasm for transforming complex data into powerful AI-driven chat and search tools.

Preferred

Experience with containerization technologies (e.g. Docker, Kubernetes, etc.)
Familiarity with AI infrastructure tools (e.g. Vertex AI, Kubeflow, Mlflow, etc.)
Experience with Natural Language Processing (NLP) techniques and libraries (e.g., spaCy, Hugging Face Transformers, etc.)
Background in the healthcare or insurance domain

Benefits

Medical, Dental, and Vision Benefits
Positive and Collaborative Work Environment
Diversity, Equity, and Inclusion Initiatives
20 Paid Days Off + 9 Paid Holidays
Wellness Programs and Fitness Facilities
Professional Development Opportunities
Employee Volunteer Program
Quarterly Incentive Opportunities

Company

Pinnacol Assurance

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Pinnacol Assurance is provide personalized attention that helps keep worksites safe.

Funding

Current Stage
Late Stage

Leadership Team

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Philip Kalin
President/CEO
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Kathy Kranz
Vice President and Chief Financial Officer
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Company data provided by crunchbase
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