Title: AI Engineer
Location: Fully Onsite (San Francisco, CA 94104)
Length: 9 months contract
Interview: Video
Visa: ANY Visas.
Client: Avanade
Special note: This Position Might Reach its maximum submittal limit Within 1-2 Hour, So Please Share Profile As soon as possible.
Job Description:
Must Haves:
- Bachelor's Degree and 2 years of exp w/ Machine Learning, analysis, and modeling of large-scale data sets
- Highly skilled in statistical analysis, quantitative analytics, forecasting/predictive analytics
- Proficient in 1 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.
- Python, PySpark, R, SQL, etc. and tools like Databricks, Azure ML and Azure Cognitive Services (at least 2 of these)
Responsibilities:
- 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:
- Possess a degree in Applied Mathematics, Statistics, Analytics, Economics/Econometrics, Engineering or another relevant field in the industry.
- An equivalent combination of education and experience will also suffice.
- 1-2 years of demonstrable experience across the advanced analytics space, preferably in a consulting environment or a combination of experience and relevant education.
- 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.
Regards,
Sucheta Chauhan
Direct Voice: (201) 484 – 7129 | [email protected]
LinkedIn: linkedin.com/in/sucheta23
Voto Consulting LLC | http://www.votoconsulting.com
1549 Finnegan Lane, 2nd floor, North Brunswick, NJ 08902
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