Principal AI/Machine Learning Engineer

Skillsoft is the global leader in eLearning. Trusted by the world's leading organizations, including 65% of the Fortune 500. Our 100,000+ courses, videos and books are accessed over 100 million times every month, across more than 100 countries. At Skillsoft, we believe knowledge is the fuel for innovation and innovation is the fuel for business growth. Join us in our quest to democratize learning and help individuals unleash their edge.

Are you ready to shape the future of learning through cutting-edge AI? As a Principal AI/Machine Learning Engineer at Skillsoft, you’ll dive into the heart of innovation, crafting intelligent systems that empower millions worldwide. From designing generative AI solutions to pioneering agentic workflows, you’ll collaborate with multiple teams to transform knowledge into a catalyst for growth—unleashing your edge while helping others do the same. Join us in redefining eLearning for the world’s leading organizations!

Responsibilities: 

·Hands-on AI/ML software engineer

·Prompt engineering, agentic workflow development and testing

·Work with product owners to understand requirements and guide new features

·Collaborate to identify new feature impacts

·Evaluate new AI/ML technology advancements and socialize finding

·Research, prototype, and select appropriate COTS and develop in-house AI/ML technology

·Consult with external partners to review and guide development and integration of AI technology

·Collaborate with teams to design, and guide AI development, and enhancements

·Document designs and implementation to ensure consistency and alignment with standards

·Create documentation including system and sequence diagrams

·Create appropriate data pipelines for AI/ML training and inference

·Analyze, curate, cleanse, and preprocess data

·Utilize and apply generative AI to increase productivity for yourself and the organization

·Periodically explore new technologies and design patterns with proof-of-concept

·Participate in developing best practices and improving operational processes

·Present research and work to socialize and share knowledge across the organization

·Contribute to patentable AI innovations

Environment, Tools & Technologies:

·Agile/Scrum

·Operating Systems – Mac, Linux

·JavaScript, Node.js, Python

·PyTorch, Tensorflow, Keras, OpenAI, Anthropic, and friends

·Langchain, Langgraph, etc.

·APIs GraphQL, REST

·Docker, Kubernetes

·Amazon Web Services (AWS), MS Azure

·SQL: Postgres RDS

·NoSQL: Cassandra, Elasticsearch (VectorDb)

·Messaging – Kafka, RabbitMQ, SQS

·Monitoring – Prometheus, ELK

·GitHub, IDE (your choice)

Skills & Qualifications:  (8+ years experience)

·Experience with LLMs and fine-tuning models

·Development experience including unit testing

·Design and documentation experience of new APIs, data models, service interactions

·Familiarity with and ability to explain:

osystem and API security techniques

odata privacy concerns

omicroservices architecture

overtical vs horizontal scaling

oGenerative AI, NLP, DNN, auto-encoders, etc.

Attributes for Success:

·Proactive, Independent, Adaptable

·Collaborative team player

·Customer service minded with an ownership mindset

·Excellent analytic and communication skills

·Ability and desire to coach and mentor other developers

·Passionate, curious, open to new ideas, and ability to research and learn new technologies