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Alliance Elite Inc. in Newark, NJ seeks a Machine Learning Engineer for a full-time role to build financial services solutions. You will develop, train, evaluate, and deploy ML models, collaborating with cross-functional teams to translate business needs into production-ready systems.
A strong ML background, Python and frameworks like TensorFlow or PyTorch, and SQL/database proficiency are essential. The position is remote with a stable internet connection and dedicated workspace.
Alliance Elite Inc., a leading technology company in Newark, NJ, seeks a Machine Learning Engineer for a full-time position to contribute to innovative financial services solutions.
As a Machine Learning Engineer, you'll develop and implement machine learning models, design and train algorithms, evaluate performance, and deploy models. Collaborate with cross-functional teams to translate business requirements into solutions.
Join a dedicated team of engineers and data scientists in Newark, NJ, in a collaborative environment fostering innovation and continuous learning.
The annual salary range for this position is $130,000 to $186,598, with benefits not yet detailed. Employees in this role typically perform a variety of tasks, including data analysis, project management, and client communication, using tools such as Microsoft Office Suite, project management software, and data analytics platforms. The workplace is primarily remote, requiring a stable internet connection and a dedicated workspace. Candidates should have a bachelor's degree in a related field, along with relevant experience in data analysis or project management. Strong communication skills and proficiency in English are essential.
Candidates must have a strong machine learning background, a relevant degree, experience with Python and frameworks like TensorFlow or PyTorch, and proficiency in SQL and database management. Strong problem-solving and teamwork skills are essential.
Developing and implementing machine learning models, evaluating model performance, deploying models into production, collaborating with cross-functional teamsRelevant degree in computer science, statistics, or related field, strong background in machine learning, experience with Python, familiarity with TensorFlow or PyTorch, understanding of data preprocessing techniques, proficiency in SQL and database management, strong problem-solving skills, ability to work in a team