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Position Overview

We are looking for a Senior Machine Learning Engineer to join the ML team in Bangalore within Autodesk’s Growth and Experience Technology (GET) organization. The GET ML team builds measurable AI solutions that power personalization, recommendations, search, and emerging generative AI capabilities across Autodesk’s customer journey. As a Senior ML Engineer, you will play a key role in designing and delivering production-grade ML systems that directly impact Autodesk’s go-to-market ecosystem. You will help define how machine learning powers personalized experiences for millions of Autodesk customers worldwide.

This role combines deep technical execution with strong product partnership. You will take ownership of complex ML initiatives—from problem framing and experimentation through production deployment—while collaborating closely with product, engineering, analytics, and research teams. You will contribute meaningfully to architectural decisions, raise the technical bar of the team, and help shape best practices for applied machine learning in Bangalore.

Autodesk follows a hybrid work model. You may work remotely or from an Autodesk office, with periodic travel as business needs require.

Responsibilities

• Design, build, and deploy scalable machine learning systems across personalization, search, recommendations, and retrieval use cases

• Develop and evaluate models using robust experimentation frameworks and data-driven methodologies

• Own components of end-to-end ML pipelines, including feature engineering, model training, validation, deployment, and monitoring

• Write production-quality code and contribute to scalable, maintainable ML infrastructure

• Analyze large datasets to extract insights and translate business problems into well-defined ML tasks

• Partner closely with product, design, engineering, and analytics teams to deliver solutions with measurable business impact

• Participate in code reviews, model reviews, and design discussions to uphold engineering excellence

• Contribute to documentation, knowledge sharing, and mentoring junior engineers where appropriate

Minimum Qualifications

• Bachelor’s or master’s Degree in a relevant field such as Computer Science, Data Science, Statistics, or a related quantitative discipline

• 4+ years of industry experience building and deploying machine learning systems in production environments

• Strong hands-on experience across the end-to-end ML lifecycle (data preparation, modeling, evaluation, deployment, monitoring)

• Proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn)

• Experience working with structured and/or unstructured large-scale datasets

• Solid understanding of software engineering best practices (version control, testing, CI/CD)

• Collaborative mindset and ability to work effectively in a global team

Preferred Qualifications

• MS or PhD in a relevant field

• Experience with personalization, recommendation systems, search, or ranking systems

• Experience with Generative AI, LLM fine-tuning, prompt engineering, or RAG systems

• Experience building or operating ML systems at scale (cloud platforms such as AWS, GCP, or Azure)

• Experience with model deployment frameworks or MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI)

• Familiarity with experimentation platforms (A/B testing, online metrics evaluation)

• Ability to communicate technical concepts clearly to cross-functional stakeholders

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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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