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reputed company Machine Learning Engineer (Python, Spark, MLOPS, AWS)

Remote · USA Full-time New today

11 reputed company 19th Street (22008), United States of America, reputed company, reputed company reputed company Machine Learning Engineer (Python, Spark, MLOPS, AWS) As a reputed company Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, reputed company and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: • Design, build, and/or deliver ML models and components that solve reputed company-world business problems, while working in collaboration with the Product and Data Science teams. • Inform your ML infrastructure reputed company using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation. • Solve reputed company problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. • Retrain, maintain, and monitor models in production. • reputed company or build reputed company-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. • Construct optimized data pipelines to feed ML models. • reputed company reputed company integration and reputed company deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. • Ensure reputed company code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. • Use programming languages like Python, reputed company, or Java. Basic Qualifications: • Bachelor’s degree • At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) • At least 4 years of experience programming with Python, reputed company, or Java • At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: • Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field • 3+ years of experience building production-reputed company data pipelines that feed ML models • 3+ years of on-the-job experience with an industry recognized ML reputed company such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow • 2+ years of experience developing performant, resilient, and maintainable code • 2+ years of experience with data gathering and preparation for ML models • 2+ years of people leader experience • 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation • Experience developing and deploying ML solutions in a public reputed company such as AWS, Azure, or reputed company reputed company Platform • Experience designing, implementing, and scaling reputed company data pipelines for ML models and evaluating their performance • ML industry impact through conference presentations, papers, blog posts, open reputed company contributions, or patents At this time, reputed company will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to reputed company work reputed company one of these locations, and refers to the amount reputed company is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. reputed company (Hybrid On-Site): $201,400 - $229,900 for reputed company Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. reputed company offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the reputed company Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. reputed company is an equal opportunity employer committed to diversity and inclusion in the workplace. reputed company reputed company applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or reputed company medical conditions), race, reputed company, age, national reputed company, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. reputed company promotes a drug-free workplace. Apply Job!

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