Machine Learning Engineer
About the job
SummaryBy Outscal
Responsibilities:
- Partner with technical (ML/AI) and product stakeholders to design an effective multimodal AI platform (audio, video and text generation)
- Design and implement necessary pipeline components to enable new use cases.
- Develop components for a multimodal Python pipeline that involves audio, video and text generation in a low latency, streaming regime
- Collect and analyze datasets stored in various databases (SQL, PostgreSQL and vector datastores such as Pinecone)
Requirements:
- Minimum of 5 years of relevant work experience
- Expertise in Data Pipeline Engineering: Skilled in developing and maintaining data pipelines to collect, process, and transform data; perform data manipulation and data analysis
- Expertise with Model Development & Optimization: Adept at creating ML model prototypes (e.g. for classification), LLM workflows (e.g. using LLM agents) and/or performing model evaluation.
- Experience with Model Deployment & Monitoring: Experience in implementing and deploying machine learning models into production, setting up robust monitoring systems to track performance and model drift.
- Experience with cloud computing (GCP or AWS) and data engineering
- Formal training in Computer Science or an Engineering discipline (Bachelor’s or Master’s)
About The Company
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