Job Description
**Job Requisition ID #**
25WD89448
**Position Overview**
The ML Ops Engineering team is a fast-moving team combining software engineering with ML system deployment and operations.
As an ML Ops Engineer on the team, you will be responsible for automating and simplifying machine learning workflows and deployments.
ML Ops Engineers work to implement and deliver ML capabilities to solve complex real-world problems and deliver value to our customers.
These processes include model development, testing, integration, release, and infrastructure management.
Our team culture is built on collaboration, mutual support, and continuous learning.
In this role, you will automate and standardize processes across the ML lifecycle, collaborating with Data Scientists, Software Engineers, and other cross-functional stakeholders.
We emphasize an agile, hands-on, and technical approach at all levels of the team.
As a group, we want to continuously improve our work and knowledge of trends and techniques relevant to our areas.
We strive for excellence and pursue it with personal development and knowledge sharing.
**Responsibilities**
+ Designandimplementstreamlined end-to-end, continuous, and automated process of deploying,monitoring,andmaintainingversioned ML models, at scale
+ Design and implementservices, tests, and interfaces to supportMachine Learning capabilities that improve Autodesk’s eCommerce & Customer platforms
+ Design andimplement data pipelines and automated workflows to operationalize dataatdifferent stagesof theMachine Learninglifecycle
+ Collaborate with other members of the team to reach better solutions, and to position our team at thecutting edgeof technology and ML practice
+ Deploy innovative solutions from non-production environments to production with an eye on scalability and observability
**Minimum Qualifications**
+ BS orMS in Computer Science, Statistics, Engineering, Economics, or related field
+ 0-3years of applicable work experienceinSoftware Engineering or Data Engineering orMLEngineering
+ Proficiencywith the PythonMachine Learningstack,e.g.,Pandas,etc
+ DemonstrateexpertisewithapplyingMachine Learning, including both Deep Learning (PyTorch) and Classical ML (Scikit-Learn)
**Preferred Qualifcations**
+ Familiarity withLarge Language Models, especially in the context of interactive dialog systems and chatbots (RAG, Generative AI, Conversational Agents)
+ Experience deploying systems that use NLP orexperience working with Conversational AIframeworks
+ SQL and experience with big data technology such as Hive, Presto, Glue,(Py)Spark, or Athena
+ Experience with data pipelines andtheAWSML ecosystem
+ Strong Software Engineering skills
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**Learn More**
**About Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies.
We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – it’s at the core of everything we do.
Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all.
Ready to shape the world and your future?
Join us!
**Salary transparency**
Salary is one part of Autodesk’s competitive compensation package.
Offers are based on the candidate’s experience and geographic location.
In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
**Diversity & Belonging**
We take pride in cultivating a culture of belonging where everyone can thrive.
Learn more here: https://www.autodesk.com/company/diversity-and-belonging
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