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Staff AI Scientist

IntuitIN

30+ days ago

Job description

Salary : Competitive / Paid in Indian Rupee . INR / Annual Recommended Quick Links

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What You Should Know About This Job

Come join our collaborative and creative group of AI scientists and machine learning engineers

as an Staff AI Scientist!

You'll get to design and build AI systems that directly impact our customers via the Virtual Expert Platform (VEP). In this role, you'll be designing, building, and deploying machine learning models in AI-native apps, using everything from analytical algorithms to deep learning and generative AI. We're excited for you to join us and do some seriously amazing work.

The team is at the heart of connecting our customers with expert guidance across all our products - QuickBooks, TurboTax, Mailchimp, and Credit Karma. You will build solutions that are at the heart of multi-billion-dollar Services businesses (e.g., QuickBooks Live, TurboTax Live), enhance Customer Success through AI and human expertise. The solutions leveraging AI and GenAI will involve forecasting, capacity planning, optimization, variance analytics recommendation systems and decision systems.

Responsibilities :

Perform hands-on data analysis and modeling with huge data sets. Apply data mining, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms

Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products

Create and refine features from the underlying data. You'll enjoy developing just enough subject matter expertise to have an intuition about what features might make your model perform better, and then you'll lather, rinse and repeat

Run regular A / B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders

Works with business planners to propose innovative products and services that fully utilize the power of AI and associated service functionality

Collaborates with infrastructure architects in assessing and addressing the requirements for more automated, streamlined systems and for the data governance required for agile and responsive data manipulation

Introduces industry-leading or academic-based ideas, research, and insights required by Intuit leadership to solve complex questions or fuel new business opportunities

Acts as an advisor in overseeing and mentoring the work of colleagues towards the building of a vibrant practice community

Qualifications :

MS or PhD in Engineering Mathematics, Statistics, Theoretical / Computational Physics, or related field

5+ years of proven experience in building AI systems using data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining.

2+ years as either as a lead in a AI / Data Science role or in a management position in AI

Software engineering fundamentals : version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code with strong coding proficiency in Python

Strong communication skills and proven experience as an influencer at executive level

Experienced in the use of distributed computing and / or distributed databases (Hadoop, NoSQL, etc.)

Demonstrable ability to quickly understand new concepts all the way down to the theorems-and to come out with original solutions to mathematical issues

Strongly Preferred :

PhD in Engineering Mathematics, Statistics, Theoretical / Computational Physics, or related field

Proven experience with Machine Learning techniques, especially on large scale datasets

Proven experience with Hadoop and related programming environments (Hive,Pig,etc)

Demonstrable skills in creative-problem-solving of complex and advanced technical subject matter

Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel

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