Autodesk is Hiring Machine Learning Engineer | Fresher | 15 LPA

Position Overview
We are seeking a Machine Learning Engineer to design, analyze, and deliver data-driven solutions that address key business challenges. You will develop and deploy ML-powered technical solutions for customer-facing platforms, working in a collaborative, agile, and innovative environment. Our team values continuous learning, technical excellence, and knowledge sharing to stay at the forefront of Machine Learning advancements.

Key Responsibilities

• Design and implement Machine Learning solutions for eCommerce and customer platforms
• Conduct statistical and data analysis to generate datasets for training and development
• Collaborate with team members to deliver cutting-edge ML-driven solutions
• Apply Deep Learning (PyTorch) and Classical ML (Scikit-Learn) techniques
• Work with SQL and Python ML stack for analysis and data wrangling

Minimum Qualifications

• MTech, MMath, MS, or PhD in Computer Science, Statistics, Engineering, Economics, Computational Linguistics, or related fields
• 0–3 years of relevant experience in Machine Learning
• Strong knowledge of Python ML stack (Pandas, NumPy, Scikit-learn, PyTorch)
• Proficiency with SQL
• Understanding of experimental design and statistical analysis

Preferred Qualifications

• Experience with Large Language Models, Generative AI, Conversational AI, or Retrieval-Augmented Generation (RAG)
• Hands-on experience in NLP systems such as Information Retrieval, Recommender Systems, or Chatbots
• Familiarity with big data tools (Hive, Presto, Glue, Spark, Athena)
• Strong software engineering skills (data structures, algorithms)
• Experience with AWS (data pipelines, MLOps, model serving)
• Knowledge of ElasticSearch, OpenSearch, Lucene, or Solr

Education Requirement
MTech, MMath, MS, or PhD in Computer Science, Statistics, Engineering, Economics, Computational Linguistics, or related fields

Technical Skills Required
Python, Pandas, NumPy, Scikit-learn, PyTorch, SQL, Experimental Design, Statistical Analysis, Machine Learning, Deep Learning, Generative AI, NLP, RAG, Recommender Systems, Information Retrieval, Hive, Presto, Glue, Spark, Athena, Data Structures, Algorithms, AWS, MLOps, ElasticSearch, OpenSearch, Lucene, Solr

Compensation & Benefits
Competitive salary based on experience and location, annual performance bonuses, stock options, and a comprehensive benefits package.

Diversity & Belonging
We are committed to creating an inclusive workplace where every individual can thrive and contribute.

Why Join Us

• Work on real-world, large-scale ML applications that make an impact
• Collaborate with talented professionals in a supportive, growth-oriented environment
• Access to continuous learning, training, and career development opportunities
• Competitive compensation, benefits, and flexibility to support your career and life goals
• Be part of a company that values innovation, creativity, and inclusivity