Job Url: https://www.remoterocketship.com/company/getambush-2/jobs/machine-learning-engineer-united-states Job Description: Ambush Website LinkedIn All Job Openings Ambush is a People Company that specializes in identifying, retaining, and integrating highly-talented remote designers and engineers into teams across various sectors. With almost a decade of experience, Ambush focuses on building long-term, dedicated partnerships, providing clients with exceptional software development and design services. The company prides itself on its human-centered approach, remote team integration, and commitment to quality, making it a trusted partner for organizations in the financial, medical, and privacy sectors. Custom Software β€’ Mobile Development β€’ Agile Development β€’ Microservices β€’ Elm 201 - 500 employees Founded 2015 🀝 B2B 🏒 Enterprise πŸ‘₯ HR Tech Machine Learning Engineer May 23 πŸ‡ΊπŸ‡Έ United States – Remote ⏰ Full Time 🟑 Mid-level 🟠 Senior πŸ€– Machine Learning Engineer Apply Now Receive Emails with Similar Jobs Report problem πŸ“‹ Description β€’ Ensure that data flows smoothly from source to destination so that it can be processed. β€’ Utilize strong database skills to work with large, complex data sets to extract insights. β€’ Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes. β€’ Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure. β€’ Build tools for automating repetitive asks so that bandwidth can be freed for analytics. β€’ Collaborate with program managers and business analysts to help them come up with actionable, high-impact insights across product lines and functions. β€’ Work closely with top management to prioritize information and analytic needs. 🎯 Requirements β€’ Strong expertise in Machine Learning (ML) with experience applying it to real-world problems. β€’ Deep understanding of Generative AI (GenAI), Large Language Models (LLMs), and their applications in complex systems. β€’ Experience working with traditional Convolutional Neural Networks (CNNs). β€’ Background in FinTech is a plus, with knowledge of financial systems, risk modeling, or fraud detection. β€’ Strong analytical and problem-solving skills to design scalable AI-driven solutions. β€’ Proficiency in software engineering best practices, including unit testing, CI/CD pipelines, and version control. β€’ Experience with Agile/Scrum methodologies for software development. β€’ Strong English communication skills, both