Entry-Level Java Full Stack Developer and Data Scientist

20 hours ago


Miami, United States SynergisticIT Full time
About Us
SynergisticIT is a dynamic and innovative company that specializes in advanced analytics solutions. Our mission is to help businesses make data-driven decisions by providing cutting-edge technical expertise.

Job Responsibilities
We are seeking an entry-level software programmer with exceptional skills in Java and Python to join our growing Data Science and Machine Learning Engineering team. As a member of this team, you will be responsible for providing technical expertise for end-to-end technical solution delivery on client cases, developing statistical models to be handed over to clients as prototype or production software, transforming existing prototype code into scalable, production-grade software, writing, testing, deploying, and maintaining machine learning code across the full software development lifecycle, collaborating on (or leading) the development of re-usable common frameworks, model, and components that can be highly leveraged to address common client engineering problems across industries and business functions, driving best demonstrated practices in software engineering, and sharing learnings with team members about theoretical and technical developments in client engineering.

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., basic Knowledge of machine learning frameworks and tools, such as Pandas, numpy, scikit-learn, TensorFlow, Pytorch, Keras, Huggingface, and probabilistic programming techniques and associated tools, such as Pyro, Stan, Tensorflow Probability, PyMC3, Bayesian inference and MCMC methods.

What You Will Gain
You will gain hands-on experience in developing statistical models, working with clients, and collaborating with team members. You will also have opportunities for career growth and development, as well as a competitive salary and benefits package.

Other Information
Please note that we do not consider third-party candidates or c2c candidates, and shortlisted candidates will be contacted directly.

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