Only candidates from Argentina or Uruguay will be considered.
Ryz Labs is seeking a highly skilled and experienced Staff Machine Learning Engineer to join one of our clients's teams to lead the development, deployment, and optimization of machine learning models that drive our platform’s core capabilities. The ideal candidate will have a strong background in machine learning, data science, and software engineering, with extensive experience in building scalable ML solutions in cloud environments. Startup experience is essential, as we are looking for someone who can thrive in a fast-paced, dynamic environment and has a proven ability to build and scale systems from the ground up.
Key Responsibilities:
Model Development: Lead the design and implementation of machine learning models, including LLMs, NLP, and computer vision models, to enhance the platform’s predictive analytics and insights capabilities.
Cloud Integration: Architect and deploy ML models on cloud platforms (GCP, AWS) ensuring scalability, reliability, and performance.
Technical Leadership: Provide mentorship and guidance to junior engineers, fostering a culture of continuous learning and technical excellence.
Cross-functional Collaboration: Work closely with data engineers, product managers, and other stakeholders to align machine learning initiatives with business objectives.
Innovation: Drive innovation by researching and implementing the latest advancements in machine learning and artificial intelligence, applying them to solve real-world workforce analytics problems.
Data Engineering: Collaborate on the design of data pipelines and storage solutions that ensure the seamless flow of large-scale data through ML models.
Qualifications:
Experience:
5+ years of experience in software engineering and machine learning.
Proven track record in leading ML projects from conception to deployment in production environments.
Experience with cloud platforms (AWS) and DevOps practices for ML model deployment.
Background in data engineering and big data technologies is highly desirable.
Startup experience is mandatory: Candidates must demonstrate experience in building and scaling ML systems in a startup environment. Experience solely in large corporate environments will not suffice.
Technical Skills:
Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks.
Strong understanding of algorithms, data structures, and optimization techniques.
Experience with NLP, computer vision, and large language models.
Familiarity with data engineering tools and techniques (e.g., Hadoop, Spark, Kafka).
Strong knowledge of software development best practices and version control systems (e.g., Git).
Education:
Ph.D. or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
Certifications:
Relevant certifications in Machine Learning, Deep Learning, and Cloud Development are a plus.
Preferred Qualifications:
Experience in the financial services or technology sector.
Experience in building and maintaining ML infrastructure for large-scale applications.
About RYZ Labs:
RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world.
Our teams are remote and distributed throughout the US and Latam. They use the latest cutting edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years.
At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists.
Our values and what to expect:
- Customer First Mentality - every decision we make should be made through the lens of the customer.
- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.
- Ownership - step up if you see an opportunity to help, even if not your core responsibility.
- Humility and Respect - be willing to learn, be vulnerable, and treat everyone that interacts with RYZ with respect.
- Frugality - being frugal and cost conscious helps us do more with less.
- Deliver Impact - get things done in the most efficient way.
- Raise our Standards - always be looking to improve our processes, our team, our expectations. Status quo is not good enough and never should be.
