Data Scientist/Artificial Intelligence Engineer

5 days ago


Miami, Florida, United States SynergisticIT Full time
Our Team

We are a team of experts at SynergisticIT, proud to be recognized for our commitment to diversity and social responsibility. We believe that collaboration and teamwork are key to building exceptional teams and creating opportunities for growth and development.

About the Role

We are seeking a skilled Data Scientist/Machine Learning Engineer to join our Advanced Analytics Group. As a member of our team, you will have the opportunity to work on exciting projects and collaborate with a talented group of professionals.

Key Responsibilities

- Provide technical expertise for end-to-end technical solution delivery on client cases.
- Develop statistical models and machine learning algorithms to be handed over to clients as prototype or production software.
- Transform existing prototype code into scalable, production-grade software.
- Collaborate on the development of re-usable common frameworks, models, and components that can be highly leveraged to address common client engineering problems across industries and business functions.

Requirements

- 0-3 years of engineering experience.
- Proficient knowledge of Python and SQL.
- Proficiency in one or more of R, Java, C++, Scala, Django.
- Fair understanding of fundamental computer science concepts, particularly data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance.
- Basic understanding of foundational concepts and algorithms in statistics and machine learning, including NLP, linear/logistic regression, SVM, random forest, boosting, neural networks, dimensionality reduction, reinforcement learning, etc.

What We Offer

We offer a competitive compensation package, a dynamic work environment, and opportunities for growth and development. Additionally, we provide skill and technology enhancement programs for candidates who are either missing skills or lacking industry experience.

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