- While the data scientists spend time understanding the business, prototyping algorithms, concerning about the statistical aspects of the model, ML Engineer take the prototype requirements and optimize the implementation.
- Ensure that ML models are implemented in the most efficient manner, so that the application can run smoothly and be easily understood in case of handover/bugs.
- Improve the efficiency that the data scientists by building reusable pieces of code to make data science work more efficient.
- Lead the way of setting coding standards and following the teammates so that the process gets better each time.
- Partner with IT to define ML model monitoring.
- Degree in computer science with emphasis in machine learning or equivalent in experience
- Strong Experience in Python, R and Spark (Pyspark is desirable)
- Deployment of ML models in production. Industry experience in agile development and DevOps (Docker, Kubernetes
- Databases (ex. Oracle, AWS S3)
- Big Data platforms (ex. Databricks, GCP, Cloudera)
- Soft skills include working well in teams, dealing with uncertainty and ambiguity, flexibility.
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Machine Learning Engineer - pune, India - ZF Group
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Description
Req ID Pune, IndiaMain accountabilities, responsibilities and deliverables