Machine Learning Engineer
Description For Machine Learning Engineer
Autodesk is seeking a Machine Learning Engineer to join their team in Bengaluru, focusing on developing ML-driven solutions for their eCommerce & Customer platforms. The role combines hands-on technical work with cutting-edge machine learning applications, particularly in areas like Large Language Models, chatbots, and NLP systems.
The position offers an opportunity to work with a collaborative team that values continuous learning and technical excellence. You'll be responsible for designing and implementing ML capabilities, performing statistical analysis, and working with various data technologies including Python ML stack and SQL.
The ideal candidate should have an advanced degree in a relevant field with 0-3 years of ML experience. Strong proficiency in Python Machine Learning stack and SQL is essential, along with expertise in both Deep Learning (PyTorch) and Classical ML (Scikit-Learn).
Autodesk's culture emphasizes their "Culture Code," promoting authenticity and meaningful work that builds a better future. The company creates software used in various industries, from sustainable architecture to entertainment, making this role an opportunity to impact multiple sectors through ML innovation.
The compensation package includes competitive base salary, annual cash bonuses, stock grants, and comprehensive benefits. This is an excellent opportunity for an early-career ML engineer to join a leading technology company with a strong focus on innovation and professional growth.
Responsibilities For Machine Learning Engineer
- Design and implement Machine Learning capabilities that improve Autodesk's eCommerce & Customer platforms
- Perform statistical and data analysis and exploration to generate datasets for model training and development
- Collaborate with other members of the team to reach better solutions
- Position team at the cutting edge of technology and ML practice
Requirements For Machine Learning Engineer
- MTech/MMath/MS or PhD in Computer Science, Statistics, Engineering, Economics, Computational Linguistics or related fields
- 0-3 years of applicable work experience in ML
- Proficiency with the Python Machine Learning stack, e.g. Pandas, etc for statistical analysis
- Proficiency with SQL for data analysis and wrangling
- Knowledge of experimental design and analysis of results
- Demonstrate expertise with applying Machine Learning, including both Deep Learning (PyTorch) and Classical ML (Scikit-Learn)
Benefits For Machine Learning Engineer
- Annual cash bonuses
- Stock grants
- Comprehensive benefits package
