Full-Time Principal AI/Machine Learning Engineer

At Skillsoft, we propel organizations and people to grow together through transformative learning experiences. We believe every team member has the potential to be AMAZING. Join us in our quest to transform learning and help individuals unleash their edge. 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 internal and external 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 Principal AI/ML engineer, driving technical innovation
• Partner with product owners to define visionary AI features
• Collaborate cross-functionally to assess impacts of new AI capabilities
• Consult and guide teams to productize prototypes with provable accuracy
• Lead research and selection of COTS and development of in-house AI/ML technologies
• Evaluate foundational models and emerging AI advancements
• Explore new technologies and design patterns through impactful prototypes
• Present research and insights to inspire innovation across teams
• Guide, design and testing of agentic workflows and prompt engineering
• Fine-tune models, validate efficacy with metrics, and ensure reliability
• Evaluate and guide synthetic data generation for training and validation
• Design and guide scalable data pipelines for AI/ML training and inference
• Oversee data analysis, curation, and preprocessing
• Collaborate with external partners on AI development and integration
• Establish AI design best practices and standards for alignment
• Contribute to patentable AI innovations
• Utilize and apply generative AI to increase productivity for yourself and the organization

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
• Sagemaker, NIMS
• SQL: Postgres RDS
• NoSQL: Cassandra, Elasticsearch (VectorDb)
• Messaging – Kafka, RabbitMQ, SQS
• Monitoring – Prometheus, ELK
• GitHub, IDE (your choice)

Skills & Qualifications:

• 8+ Years of Relevant Industry Experience (with a Master’s Degree Preferred)
• Experience with LLMs and fine-tuning foundation models
• Development experience including unit testing
• Design and documentation experience of new APIs, data models, service interactions

Familiarity with and ability to explain:

• Agentic AI development and testing
• AI security and data privacy concerns
• Synthetic data generation and concerns
• Foundation model fine-tuning
• Generative AI prompt engineering and challenges

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

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