Must Haves:

• Bachelor's Degree and 2 years exp.
• Exp. w/ Machine Learning, analysis, and modeling of large scale and complex data sets in Industry scenarios.
• Proficient in Cognitive analytics like text analytics, image recognition, video analytics etc
•  Python, PySpark, R, SQL, etc. and tools like Databricks, Azure ML and Azure Cognitive Services (at least 2)
• Knowledge of DevOps workflows, Git, containers, CI/CD, etc.

What you'll do:??

• Customer onboarding, nominations, and vetting processes
•  Proof of Concept design, lab scheduling, and monitoring of overall governance of AI Studio
• Provide Studio tours, manage demo showcase, and process improvements
• Conduct customer satisfaction surveys and share key learnings, run customer engagement reports and project retrospective reports as well as provide Studio summary for customer & logging product bugs with engineering team
• Produce innovative solutions for our clients driven by exploratory data analysis from complex and high-dimensional datasets, both structured and unstructured, applying advanced statistical, machine-learning and AI techniques.
•  Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
•  Communicate insights and deliver plans that steer business strategy and decision-making for one or more business segments.

Skills and experiences:

• Demonstrable professional experience with applying Machine Learning, analysis, and modeling of large scale and complex data sets in Industry scenarios.
• Highly skilled in statistical analysis, quantitative analytics, forecasting/predictive analytics, simulation and optimization algorithms.
• Proficient in one or more statistical modeling tools and Cognitive analytics like text analytics, image recognition, video analytics etc.- proficient in model identification by use case/industry and knowledge of applying models to enterprise use cases.
• Highly proficient with two or more languages, such as Python, PySpark, R, SQL, etc. and tools like Databricks, Azure ML and Azure Cognitive Services
• Software engineering experience using DevOps principals (Knowledge of DevOps workflows, Git, containers, CICD, etc.)
• Good communication and presentation skills. Able to explain complex analytical methodologies and concepts in non-technical language to audiences at multiple skill levels.
•  Bonus Skills: Preference for prior experience working with Azure or cloud-based technologies such as AWS or GCP but not required.