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Urgent! Principal Machine Learning Operations Engineer Job Opening In Bengaluru – Now Hiring Autodesk
**Job Requisition ID #**
25WD89404
**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**
+ Design and implement streamlined end-to-end, continuous, and automated process of deploying, monitoring, andmaintainingversioned ML models, at scale
+ Design and implement services, tests, and interfaces to supportMachine Learning capabilities that improve Autodesk’s eCommerce & Customer platforms
+ Design and implement data pipelines and automated workflows to operationalize data atdifferent stagesof the Machine Learning lifecycle
+ Participate in technical design and solutionsdiscussions with other technical leaders and members of staff like Architects, Machine Learning Engineers, Data Engineers
+ Lead and mentorother members of the team in reaching 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 _We also welcome applicants from non-traditional ML backgrounds_
+ Minimum of 6 years of applicable work experienceinML Ops, DevOps, or related fields, with a strong understanding of machine learning workflows and best practices
+ Proficiencyin programming languages such as Python and familiarity with ML frameworks like TensorFlow,PyTorch, or Scikit-Learn.
Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) is essential
+ Strong analytical and problem-solving skills, with the ability to troubleshoot complex issues in ML pipelines and production environments
**Preferred Qualifications**
+ Familiarity withLarge Language Modelsand related concepts likeRAG, Generative AI, Conversational Agents, MCP
+ 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 andtheAWSML ecosystem
+ Strong Software Engineering skills
#LI-RV1
**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
**Are you an existing contractor or consultant with Autodesk?**
Please search for open jobs and apply internally (not on this external site).
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Unlock Your Principal Machine Potential: Insight & Career Growth Guide
Real-time Principal Machine Jobs Trends in Bengaluru, India (Graphical Representation)
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Great news! Autodesk is currently hiring and seeking a Principal Machine Learning Operations Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Principal Machine Learning Operations Engineer Jobs Bengaluru.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Autodesk adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Principal Machine Learning Operations Engineer Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Principal Machine Learning Operations Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Principal Machine Learning Operations Engineer interview at Autodesk, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Autodesk's products or services and be prepared to discuss how you can contribute to their success.
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