(ERL924) MACHINE LEARNING ENGINEER

Fullstack Labs


About FullStack We are a software consultancy company in the Americas, delivering transformational digital solutions to top global companies and Silicon Valley startups. Our positive work environment enables employees to achieve their greatest potential. - We offer life-changing career opportunities to talented software professionals. - We build highly-skilled software development teams for hundreds of leading companies. - We have delivered hundreds of successful custom software solutions positively impacting millions of users. The Role We're looking for a Machine Learning Engineer to join our team. You'll collaborate with one of our product teams to build and deliver a product to our clients. - 4+ years of experience as an Artificial Intelligence Engineer or similar role. - Advanced English skills are required. - A four-year college degree is necessary. - You should have experience developing and optimizing AI/ML models using Python and frameworks like LangChain. - You should have a deep understanding of large language models (LLMs), prompt engineering, and generative AI trends. - Hands-on experience with retrieval-augmented generation techniques and vector databases is required. - You must be able to integrate and deploy AI/ML solutions into production environments. - You should have solid experience designing and maintaining scalable, reliable AI infrastructure on cloud platforms such as AWS, GCP, or Azure. - You need strong documentation skills for AI/ML workflows, architectural decisions, and best practices. - Experience with MLOps, CI/CD pipelines, and maintaining production-grade AI systems is essential. - You should be able to work through new and difficult issues and contribute to libraries as needed. - You should be able to create and maintain continuous integration and delivery of applications. - Attention to detail is required. - A positive mindset and can-do attitude are necessary. - Agile / Scrum team experience is beneficial. - Experience working on large, complex systems is valuable. - You should be able to take ownership of your work and consistently meet expectations. What We Offer - Competitive salary. - Paid time off. - Remote work. - Opportunity to work with leading startups and Fortune 500 companies. - Health policy with Sura 100% coverage. - English classes. - Food card. - Career advancement opportunities. - Continuing education opportunities.

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