AI Machine Learning Engineer at Skillsoft

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.

This role is for a junior to mid-level engineer. The successful candidate will work closely with more senior engineers who will mentor and guide them.

Responsibilities:

· Hands-on AI/ML software engineer

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

· Collaborate to identify new feature impacts on existing services and teams

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

· Collaborate with team to design, develop, and maintain supporting systems

· 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

· Analyze, curate, cleanse, and split data

· Utilize and apply generative AI for products and for daily productivity

· 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

Environment, Tools & Technologies:

· Agile/Scrum

· Operating Systems – Mac, Linux

· Python, JavaScript, Node.js

· PyTorch, Tensorflow, Keras, LLMs (OpenAI GPT-X, Claude, embedding models)

· Vector indexing/database, LangChain, AutoGen, RAG, Agents

· APIs GraphQL, REST

· Docker, Kubernetes

· Amazon Web Services (AWS), MS Azure OpenAI

· SQL (Postgres RDS/Aurora), NoSQL (Cassandra, Elasticsearch)

· Messaging – Kafka, RabbitMQ, SQS

· Monitoring – New Relic, Splunk

· GitHub, IDE (your choice)

Skills & Qualifications:

· Experience with generative AI and fine-tuning models

· Ability to design and document APIs, data models, service interactions

· Familiarity with and ability to explain:

o testing strategies – unit, integration, system

o system and API security techniques

o data privacy concerns

o microservices architecture

o vertical vs horizontal scaling

o Generative AI, NLP, DNN, LLMs, 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 new and more junior developers

· Innovative and problem-solving mindset

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

#AC1