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Flint Atlantic LLC, a Pittsburgh-based data analytics firm, seeks a full-time Machine Learning Engineer to design and deploy ML models addressing complex business challenges. You will work with data scientists and engineers to ensure scalable, efficient systems in a collaborative Palo Alto?
style environment. Applicants should have a strong ML background, Python proficiency, and experience with TensorFlow or PyTorch.
Flint Atlantic LLC, a leading data analytics firm based in Pittsburgh, PA, is seeking a full-time Machine Learning Engineer to develop and implement machine learning models to solve complex business problems.
Your day-to-day tasks will include designing and implementing machine learning algorithms, collaborating with data scientists and engineers, and ensuring the scalability and efficiency of machine learning systems.
As a Machine Learning Engineer at Flint Atlantic LLC, you will work in a collaborative environment with a team of data professionals in Pittsburgh, PA, dedicated to delivering innovative solutions using cutting-edge technologies.
The annual salary for this position ranges from $150,000 to $231,083, with the exact amount dependent on the candidate's experience and qualifications. The role involves managing a team of developers, overseeing project timelines, and ensuring the delivery of high-quality software products. Candidates should be proficient in Agile methodologies, have experience with version control systems like Git, and be comfortable using development tools such as Jira, Confluence, and Slack. The workplace is a modern office environment with a collaborative and innovative culture, promoting continuous learning and professional growth. The position requires a bachelor's degree in computer science or a related field, along with several years of experience in software development or project management. Benefits are not specified, but the company is known for offering comprehensive healthcare, retirement plans, and other perks to support employee well-being and career advancement.
To excel in this role, you should have a strong background in machine learning, with experience in developing and deploying models. You should be proficient in programming languages such as Python and have a solid understanding of data structures and algorithms. Additionally, you should have experience with machine learning frameworks like TensorFlow or PyTorch.