AI/Machine Learning Job Openings At Intuit | Bangalore

• BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
• Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
• Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
• Understand machine learning principles (training, validation, etc.)
• Knowledge of data query and data processing tools (i.e. SQL)
• Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
• Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
• Mathematics fundamentals: linear algebra, calculus, probability
• Interest in reading academic papers and trying to implement state-of-the-art experimental systems
• Experience using deep learning architectures
• Experience deploying highly scalable software supporting millions or more users
• Experience with GPU acceleration (i.e. CUDA and cuDNN)
• Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
• Experience with NLP and NLU

For AI Scientist 2 – Qualifications;

•  MS, or PhD in an appropriate technology fi eld (Computer Science, Statistics, Applied Math, Operations Research, etc.) or equivalent work experience.
•  1+ years of experience in modern AI/ML tools and profi cient in Python and typical AI/ML libraries (e.g., TensorFlow, PyTorch, Keras). Familiarity with distributed computing frameworks (e.g., Spark, Ray) is a plus.
•  1+ years of experience in machine learning techniques such as classifi cation, regression, neural networks, large language models, recommender systems, natural language processing, clustering, anomaly detection, and computer vision. Understanding of MLOps principles and practices (e.g., version control, CI/CD for ML models) is a plus.
•  Familiar with the latest trends and applications of generative AI including agentic applications.
•  Effi cient in SQL
•  Comfortable in a Linux environment
•  Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences