Senior ML Engineer

Autodesk is hiring a Senior ML Engineer in Bengaluru.

Job Requisition ID # 26WD99619 Position Overview With Autodesk software, you have the power to Make Anything. The future of making is here—bringing radical changes in how things are designed, built, and experienced. Our software is used by everyone from design professionals and engineers to digital artists, students, and hobbyists. We believe innovation thrives when diverse perspectives come together. Our goal is to expand opportunities for anyone to imagine, design, and make a better world.

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

Requirements

• 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 define