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AI/ ML Engineer / Software Development
AI/ML Engineer W2 - Full Time
Job Responsibilities:
- Develop end-to-end ML pipelines encompassing the ML lifecycle from data ingestion, data transformation, model training, model validation, model serving, and model evaluation over time.
- Collaborate closely with AI scientists to accelerate productionization of ML algorithms.
- Setup CI/CD/CT pipelines for ML algorithms.
- Deploy models as a service both on-cloud and on-prem.
- Learn and apply new tools, technologies, and industry best practices.
Key Qualifications
- MS in Computer Science, Software Engineering, or equivalent field
- Experience with Cloud Platforms, especially GCP and Azure, and related skills: Docker, Kubernetes, edge computing
- Familiarity with task orchestration tools such as MLflow, Kubeflow, Airflow, Vertex AI, Azure ML, etc.
- Fluency in at least one general purpose programming language. Python or Java preferred.
- Strong DevOps skills: Linux/Unix environment, testing, troubleshooting, automation, Git, , dependency management, and build tools (GCP Cloud Build, Jenkins, Gitlab CI/CD, GitHub Actions, etc.).
- Data engineering skills a plus, such as Beam, Spark, Pandas, SQL, Kafka, GCP Dataflow, etc.
- 3+ years of experience, including academic experience, in any of the above.
