Job Title: Senior Machine Learning Developer
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About the Role:
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We are seeking a skilled Senior Machine Learning Developer to lead our team in driving innovation and excellence in machine learning solutions. As a key member of our cross-functional team, you will play a pivotal role in developing and implementing cutting-edge machine learning projects that drive business growth and success.
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Key Responsibilities:
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* Lead and drive machine learning projects from concept to delivery, collaborating with business leaders, data scientists, and engineers to develop and optimize new products, features, and models.
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* Build relationships with business partners and cross-functional teams to ensure seamless integration and delivery of machine learning solutions.
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* Partner with data scientists to design, implement, and optimize machine learning models, as well as collaborate with the infrastructure team to improve the architecture, scalability, and performance of the ML platform.
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* Develop processes, model monitoring, and governance frameworks for successful ML model operationalization, ensuring high-quality, production-grade applications with ML inferences using automation pipelines on the cloud.
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Required Skills and Qualifications:
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* Software engineering experience with a strong working experience as a Machine Learning Engineer.
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* Degree in computer science or a related field.
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* Advanced proficiency with Python, Java, and Scala.
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* Strong experience building solutions using public clouds such as AWS and GCP.
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* Experience using ML platforms like SageMaker, H2O, DataRobot, or similar.
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* Strong computer science fundamentals such as algorithms, data structures, and multithreading.
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Benefits:
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* Competitive salaries, including bonus, pension, health care, life insurance, laptop, phone, access to extensive training resources, company discounts, on-site parking, and more.
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* Permanent role with flexibility to work 3 days a week on-site and remotely.
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* Opportunity to grow your career while being exposed to new technologies and working closely with a range of teams within the business to bring products to life.
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What We Offer:
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* Work-life balance with flexible working arrangements.
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* A collaborative and dynamic work environment.
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* Ongoing training and development opportunities.
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