Title: AI/ML Engineering Manager
Location: San Francisco, CA (Hybrid 2 days onsite in a week)
Duration: Fulltime Hire
We are excited about you if you have:
- University or advanced degree in engineering, computer science, mathematics, or a related field
- 3+ years experience developing and deploying machine learning systems into production.
- 5+ years of experience in the Software engineering space.
- 1+ year of experience mentoring and managing Software / ML engineers.
- Experience working with a variety of relational SQL and NoSQL databases
- Experience working with: Hadoop, Spark, Kafka, Scala, Python, R etc.
- Experience with at least one cloud provider solution ( Azure, Google Cloud Platform)
- Experience working with Databricks.
- Experience with CNN training and deep learning frameworks such as PyTorch, TensorFlow, Keras or similar
- Experience with object-oriented/object function scripting languages: Python, Java, C , Scala, etc.
- Industry experience building and productionizing creative end-to-end Machine Learning systems
- Experience with building and operationalize feature store.
- Experience working with distributed systems, service oriented architectures and designing APIs/ API Graph.
- Familiarity in deploying real-time ML systems on Azure Cloud through frameworks such as ONNX, MLEAP , TF Serving etc.
- Familiarity with LLM, LLMOPs.
- Knowledge of data pipeline and workflow management tools
- Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation
- Relevant working experience with Kubernetes.