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Intuit Senior software Engineer AI/ML India, Karnataka, Bengaluru 702035660
27.03.2025
Responsibilities
- You’ll be expected to help conceive, code, and deploy machine learning and forecasting models at scale using the latest industry tools.
- Discover data sources, get access to them, import them, clean them up, and make them machine learning-ready via data wrangling and feature engineering.
- Develop and maintain web services for the AI team orchestrating various ML functions.
- Partner with data scientists to understand, implement, refine and design machinelearning and other algorithms.
- Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
- Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver
Qualifications
- BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
- 3+ years of experience
- Knowledgeable with Data Science tools, ML serving and related frameworks (i.e. Python, scikit-learn, numpy, pandas, TensorFlow, Spark, Kubeflow, FastAPI).
- Knowledge of ML techniques (i.e. classification, regression,clustering).
- Understand machine learning principles (training, validation, etc.)
- Knowledge of data query and data processing tools (i.e. Spark, Databricks, SQL)
- Computer science fundamentals: data structures, algorithms, performance complexity,and implications of computer architecture on software performance (e.g., I/O andmemory tuning)
- Software engineering fundamentals: version control systems (i.e. Git, Github), dependency and virtual environment management (poetry, virtualenv); and ability to write production-ready code.
- Experience deploying highly scalable software supporting millions or more users
- Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
- Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non technical users
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