MLOps Architect Lead
19 hours ago
At Straive, we are seeking a highly skilled MLOps Architect Lead to join our team. This role demands a deep understanding of machine learning lifecycle management and the ability to design and execute robust MLOps solutions.
About the RoleWe estimate the salary for this position to be around $160,000 per year, considering the location and industry standards.
The ideal candidate will have a strong focus on revenue management and will be responsible for building and optimizing SRM-specific pipelines. Key Responsibilities include:
- Collaboration: Partner with data scientists and ML engineers throughout the entire ML lifecycle, from model development to production deployment.
- MLOps Pipeline Design: Design and implement MLOps pipelines utilizing tools and frameworks such as TensorFlow Serving, Kubeflow, MLflow, or similar solutions.
- Data Engineering Infrastructure: Develop and implement data pipelines and engineering infrastructure to support enterprise-scale machine learning systems, including tasks like data ingestion, preprocessing, transformation, feature engineering, and model training.
- Cloud Solutions: Design and implement cloud-based MLOps solutions on platforms like Azure ML, Azure Databricks, AWS SageMaker, or Google Cloud AI Platform.
Qualifications include:
- Experience: Minimum of 7 years of work experience, with at least 3 years focused on MLOps.
- Domain Expertise: Strong expertise in Generative AI, advanced NLP, computer vision, and ML techniques.
- Production Solutions: Proven experience in designing, developing, and deploying production-grade AI solutions.
Benefits include:
- Opportunity to work with a leading company in the AI space.
- Chance to collaborate with experienced professionals in the field.
- Competitive salary and benefits package.
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