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Machine Learning Engineer
hace 2 semanas
We're Most Proud Of
- Offering life-changing opportunities for talented software professionals across the Americas.
- Enhancing highly-skilled software development teams of hundreds of the world's greatest companies.
- Our 4.2-star rating on GlassDoor.
- Our client Net Promoter Score of 68, twice the industry average.
- You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.
- 5+ years of professional experience as a Machine learning Engineer or in a similar role.
- Advanced English is required.
- Successful completion of a four-year college degree is required.
- Design, develop, and optimize machine learning models using LangChain and Python.
- Develop APIs, databases, and user-facing services for delivering ML/AI solutions.
- Develop and maintain data pipelines for training and model evaluation.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Extensive experience with LLMs, prompt engineering, and AI-powered applications.
- Strong understanding of retrieval-augmented generation (RAG) and vector databases.
- Experience integrating and deploying ML models in production environments.
- Develop and maintain clear documentation on ML workflows, architectures, and best practices.
- Familiarity with cloud platforms (AWS, GCP, Azure) and scalable AI infrastructure.
- Ability to work through new and difficult issues and contribute to libraries as needed.
- Ability to create and maintain continuous integration and delivery of applications.
- Forensic attention to detail.
- A positive mindset and a can-do attitude.
- Experience working on Agile / Scrum teams.
- Meaningful experience working on large, complex systems.
- Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
- Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.
- Ability to consistently work 40 hours per week.
- Competitive pay.
- 100% remote work.
- The ability to work with leading startups and Fortune 500 companies.
- Continuing education opportunities
- Opportunity to grow and expand your career
