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Machine Learning Operations Engineer Job Opening In Bengaluru – Now Hiring Autodesk


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

#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).


Required Skill Profession

Other General


  • Job Details

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Unlock Your Machine Learning Potential: Insight & Career Growth Guide


Real-time Machine Learning Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Machine Learning in Bengaluru, India, highlighting market share and opportunities for professionals in Machine Learning roles.

19853 Jobs in India
19853
1612 Jobs in Bengaluru
1612
Download Machine Learning Jobs Trends in Bengaluru and India

Are You Looking for Machine Learning Operations Engineer Job?

Great news! is currently hiring and seeking a 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: .

The Work Culture

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:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Machine Learning Operations Engineer Positions?

The average salary range for a 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.

What Are the Key Qualifications for Machine Learning Operations Engineer?

Key qualifications for Machine Learning Operations Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Machine Learning Operations Engineer?

To improve your chances of getting hired for Machine Learning Operations Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Machine Learning Operations Engineer Job Success

Autodesk interview tips for Machine Learning Operations Engineer

Here are some tips to help you prepare for and ace your Machine Learning Operations Engineer job interview:

Before the Interview:

Research: Learn about the Autodesk's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your 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.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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