LP
Machine Learning Engineer / AI Developer
LinkedIn Recruiter Post
Hiring: Machine Learning Engineer / AI Developer. Experience: 5+ Years. Location: Canada (Hybrid/Onsite).
About the role
- ML Ops Engineer automating machine learning workflows to deliver ML capabilities at Autodesk. Collaborating with cross-functional teams to improve eCommerce and customer platforms through innovative solutions.
Responsibilities
- Automating and simplifying machine learning workflows and deployments
- Implementing and delivering ML capabilities to solve complex real-world problems and deliver value
- Design and implement streamlined end-to-end, continuous, and automated process of deploying, monitoring, and maintaining versioned ML models, at scale
- Design and implement services, tests, and interfaces to support Machine Learning capabilities that improve Autodesk’s eCommerce & Customer platforms
- Design and implement data pipelines and automated workflows to operationalize data at different stages of the Machine Learning lifecycle
- Collaborate with other members of the team in reaching better solutions
- Deploy innovative solutions from non-production environments to production with an eye on scalability and observability
Requirements
- BS or MS in Computer Science, Statistics, Engineering, Economics, or related field
- 0-3 years of applicable work experience in Software Engineering or Data Engineering or ML Engineering
- Proficiency with the Python Machine Learning stack, e.g., Pandas
- Demonstrate expertise with applying Machine Learning, specifically LLMs
- Familiarity with Large Language Models, especially in the context of interactive dialog systems and chatbots (RAG, Generative AI, Conversational Agents)
- Experience deploying systems that use NLP or experience working with Conversational AI frameworks
- SQL and experience with big data technology such as Hive, Presto, Glue, (Py)Spark, or Athena
- Experience with data pipelines and the AWS ML ecosystem
- Strong Software Engineering skills
Benefits
- Health insurance
- Flexible work arrangements
- Professional development opportunities
- Bonuses
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