MLOps Engineering Lead
3 weeks ago
We are seeking a highly skilled Lead Architect in MLOps with over 7 years of experience, specifically within the Consumer Packaged Goods (CPG) domain. The ideal candidate will have a strong focus on revenue management, and will be responsible for building and optimizing SRM-specific pipelines. This role demands a deep understanding of machine learning lifecycle management and the ability to design and execute robust MLOps solutions.
Key Responsibilities:
- Collaborate with data scientists and ML engineers throughout the entire ML lifecycle, from model development to production deployment.
- Design and implement MLOps pipelines utilizing tools and frameworks such as TensorFlow Serving, Kubeflow, MLflow, or similar solutions.
- 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.
- Design and implement cloud-based MLOps solutions on platforms like Azure ML, Azure Databricks.
Requirements:
- Minimum of 7 years of work experience, with at least 3 years focused on MLOps.
- Strong expertise in Generative AI, advanced NLP, computer vision, and ML techniques.
- Proven experience in designing, developing, and deploying production-grade AI solutions.
- Excellent communication and collaboration skills, with the ability to work independently and as part of a team.
- Strong problem-solving and analytical abilities.
- Stay current with the latest advancements in MLOps technologies and actively evaluate new tools and techniques to enhance the performance, maintainability, and reliability of machine learning systems.
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