Cloud Machine Learning Engineer
hace 1 mes
We are seeking a highly skilled Cloud Machine Learning Engineer to join our team at RavenPack. The ideal candidate will have extensive experience in designing and implementing machine learning models, as well as a strong background in cloud computing.
The successful candidate will be responsible for building and maintaining our entire ML infrastructure, taking offline models and turning them into real production systems. Additionally, they will design and develop comprehensive test and monitoring strategies. Proficiency in Python and knowledge of scripting languages are required, along with experience in all phases of the software development life cycle.
**Key Responsibilities:**
- Design and implement machine learning models using latest technologies
- Develop and maintain CI/CD pipelines using AWS Sagemaker, Azure, or Vertex
- Implement data pipelines for ML workflows
- Familiarity with machine learning frameworks such as TensorFlow and PyTorch
The ideal candidate will have a proven track record in MLOps/DevOps or software automation projects, excellent analytical, problem-solving, communication, and interpersonal skills. A Bachelor's degree in Computer Science or Engineering is required.
What We Offer:
- A competitive salary of $120,000 - $150,000 per year
- An opportunity to work with the latest technologies in cloud computing and machine learning
- A collaborative environment where your contribution will be valued
- Continuous learning support and professional growth opportunities
About Us:
RavenPack is a leading big data analytics provider for financial services, empowering clients to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. We're now launching a new suite of GenAI and SaaS services designed specifically for financial professionals.
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