Applied AI Scientist Intern
Vor 7 Tagen
- Max.AI - Applied AI
- $6, $6,000.00
- Comp package offers min/max salary + COLA, leave policies, bonus incentives, relo, med/den/life ins, retirement benefits.
- 23409
ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS.
Our most valuable asset is our people .
At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and
make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.
APPLIED AI SCIENTIST - INTERN
The Max.AI platform team is driving the development and commercialization of a robust ecosystem of AI and Generative AI products across industries. Key offerings include:
Max.AI: A cross-industry platform that integrates traditional machine learning and automation with cutting-edge large language models to meet evolving client demands.
Personalize.AI (P.AI): A patented, cloud-native AI SaaS product that leverages customer data—such as loyalty programs, clickstream, and transactions—to deliver hyper-personalized content, journeys, and product recommendations.
What You'll Do
- Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner
- Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information
- Evaluate emerging datasets and technologies for our analytical platform
- Owning the development of select assets/accelerators for efficient scaling of capability
- Contributing to the thought leadership of the firm by helping in researching the evolving topics and publishing them
What You'll Bring
- Candidates should be pusruing a master's degree in Computer Science, Statistics, or a related field with strong academic performance in analytic and quantitative coursework;
- Interest and experience in GenAI and Machine Learning
- Knowledge of programming - Python (Deep Expertise), Pyspark
- Experience in engineering features from a variety of data sources
- Experience in ML platforms like Dataiku, Sagemaker, MLFlow or other platforms
- Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.);
- Expertise in developing one or more class of machine learning algorithms (time series, classification, regression, etc. - preferably in a product environment)
Additional Skills
- Excellent oral and written communication skills;
- Strong attention to detail, with a research-focused mindset;
- Excellent critical thinking and problem-solving skills;
- High motivation, good work ethic and maturity.
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