Machine Learning Solutions Engineer
3 dagen geleden
ML-Solution Architect
About the RoleWe are seeking a highly skilled Machine Learning Solutions Engineer to join our team at N Consulting Ltd.
Responsibilities- Designing MLOps Architecture: The successful candidate will be responsible for designing the overall architecture of our machine learning pipelines, ensuring they are scalable, reliable, and secure.
- Establishing CI/CD: They will establish a modular architecture that supports the continuous integration and deployment (CI/CD) of machine learning applications.
- Selecting Tools and Frameworks: Our ideal candidate will identify and select the most suitable tools, frameworks, and platforms for model development, deployment, and monitoring.
- Collaboration with Stakeholders: They will work closely with business stakeholders to translate requirements into effective machine learning solutions.
- Liaison between Teams: As a technical liaison between MLOPs teams and business units, they will ensure alignment with project goals and timelines.
- Model Deployment: They will facilitate the transition from development to production, ensuring models are deployed with minimal friction.
- Observability and Monitoring: Our Machine Learning Solutions Engineer will design observability and monitoring frameworks to detect drift, ensure performance, and trigger automated re-deployments when necessary.
- Standards and Guidelines: They will define standards, best practices, and guidelines for MLOps, ensuring adherence to compliance and regulatory requirements.
- Collaboration with Data Teams: Collaborating with data engineers, data scientists, DevOps engineers, and other stakeholders to implement best practices for model lifecycle management.
- Deployment Strategies: Developing strategies for deploying ML models as APIs, batch processing jobs, or streaming services.
Our competitive salary for this role is $120,000 - $180,000 per year, depending on experience. Additionally, we offer a range of benefits, including health insurance, retirement plans, and professional development opportunities.
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