Machine Learning Infrastructure Specialist
hace 1 semana
RavenPack is a leading provider of big data analytics for financial services. We empower our clients to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. With 20 years of experience in the industry, we are now launching a new suite of GenAI and SaaS services designed specifically for financial professionals.
We are seeking a skilled MLOps Engineer to join our team responsible for building and maintaining the entire ML infrastructure. This role will involve taking offline models and turning them into real production systems. Additionally, designing and developing comprehensive test and monitoring strategies will also be required. The ideal candidate must have all the technical skills for implementing and maintaining the infrastructure in the cloud, as well as a proven track record in MLOps/DevOps or software automation projects.
The successful candidate will have experience in all phases of the software development life cycle, from requirements gathering, designing CI/CD pipelines, integration testing, monitoring ML models performance, and supporting production systems. Effective communication skills in English are essential, both in writing and verbally. Knowledge of Spanish is not a business requirement, but European Union's legal working status is necessary.
As a key member of our team, you will face exciting challenges by covering all the ML development lifecycle stages and using the latest technologies. You will work with a collaborative environment where your contribution will be valued, and you will have ownership of projects. In addition, you will benefit from continuous learning opportunities and work in an international environment with over 29 nationalities and 24 languages spoken.
About the Role
- Experience in applying software engineering concepts and best practices to the entire machine learning development lifecycle, including deployments and monitoring of ML models in production environments.
- Implementing and optimizing data pipelines for ML workflows.
- Designing and implementing CI/CD strategies.
- Familiarity with machine learning frameworks and understanding of machine learning concepts.
- Proficiency in Python and knowledge in scripting languages.
- Database knowledge: SQL and NoSQL.
- Able to set priorities and multitask in a fast-paced environment.
- Necessary skills to perform root cause analysis when defects occur.
- Excellent analytical, problem-solving, communication, and interpersonal skills.
What We Offer
- A competitive salary of $120,000 - $150,000 per year, depending on experience.
- Ownership of projects and opportunities for professional growth.
- Continuous learning opportunities and support for ongoing training.
- Diversity and inclusion in our workplace with over 29 nationalities and 24 languages spoken.
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