Machine Learning Architect Lead
hace 3 días
XE is a global leader in providing comprehensive currency services and products, including the Currency Converter, Market Analysis, Currency Data API, and secure Money Transfers for individuals and businesses. Our technology enables us to deliver these services through our website, mobile apps, and phone.
The estimated annual salary for this position is between $120,000 and $200,000, depending on experience and qualifications.
About the RoleWe are seeking an experienced Machine Learning Architect Lead to join our team. As a key member of our engineering department, you will be responsible for designing, building, and maintaining the infrastructure, platform, and processes required to successfully deploy and manage machine learning models in a production environment.
This includes tasks such as developing Entity Resolution Solutions, building production features, and integrating ML solutions into production systems. You will work closely with data scientists and software engineers to ensure that machine learning models can seamlessly integrate into existing systems and processes.
The ideal candidate for this role will have extensive experience in both software engineering and machine learning, as well as a deep understanding of the challenges and best practices involved in deploying machine learning models in production. Experience working with cloud computing platforms such as AWS or GCP is a plus.
Responsibilities- Build and maintain production-level real-time and batch MLOps pipelines.
- Deploy backend and real-time machine learning features and models.
- Design and develop multiple ML microservices and APIs.
- Monitor and optimize the performance of machine learning systems in production.
- Work closely with data scientists and software engineers to ensure the successful integration of machine learning microservices into existing systems and processes.
- Mentor junior engineers and provide technical leadership within the team.
- Stay updated with the latest advancements in machine learning and data engineering technologies and methodologies.
- Degree in Computer Science, Software Engineering, or a related discipline.
- Extensive experience in developing and maintaining API services in a cloud environment.
- Strong object and service-oriented programming skills in Python to write efficient, scalable code.
- Knowledge of modern containerization techniques - Docker, Docker Compose.
- Experience with relational and unstructured databases and data lakes.
- An understanding of business goals and how data policies can affect them.
- Effective communication and collaboration skills.
- A strong understanding of the concepts associated with privacy and data security.
- Proven experience in mentoring and leading engineering teams.
- Familiarity with CI/CD pipelines and DevOps practices.
- Annual salary increase review
- End of the year bonus (Christmas bonus)
- ESPP (Employee Stock Purchase Plan)
- Paid day off for birthday
- 15 days vacation per year
- Insurance guaranteed for employees (Health, Oncological, Dental, Life)
- No fee when using Ria service/wire transfers
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