Machine Learning/AI Engineer

Ambush is a people-first company. We believe that our success is built on the talent and dedication of our team. We take a human-centered approach to everything we do, from recruiting top-tier remote professionals to fostering a collaborative and supportive work environment.

Since 2015, we’ve been growing our consulting business by delivering exceptional quality work to our clients. We’re not afraid to take risks and always strive to find the best solution, not just the easiest one. Our highly skilled team of engineers is committed to using their expertise to tackle every challenge with passion and precision.

Teamwork is at the heart of everything we do. We believe in the power of collaboration, knowledge sharing, and mutual support. At Ambush, you’ll find a dynamic environment where you’re encouraged to grow, learn, and share your expertise with your colleagues. We offer various initiatives to help you enhance your skills and broaden your knowledge base.

If you’re a team player who’s driven to achieve great things and passionate about making a real impact, we want you on our team.

When you join us, you will:

• Ensure that data flows smoothly from source to destination so that it can be processed
• Utilize strong database skills to work with large, complex data sets to extract insights
• Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
• 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
• Build tools for automating repetitive asks so that bandwidth can be freed for analytics
• Collaborate with program managers and business analysts to help them come up with actionable, high-impact insights across product lines and functions
• Work closely with top management to prioritize information and analytic needs
  
  
  

What we'd like to see in a candidate:

• Strong expertise in Machine Learning (ML) with experience applying it to real-world problems.
• Deep understanding of Generative AI (GenAI), Large Language Models (LLMs), and their applications in complex systems.
• Experience working with traditional Convolutional Neural Networks (CNNs).
• Background in FinTech is a plus, with knowledge of financial systems, risk modeling, or fraud detection.
• Strong analytical and problem-solving skills to design scalable AI-driven solutions.
• Proficiency in software engineering best practices, including unit testing, CI/CD pipelines, and version control.
• Experience with Agile/Scrum methodologies for software development.
• Strong English communication skills, both written and verbal.