Machine Learning Engineer

2 weeks ago


Phoenix AZ United States Recurring Decimal Full time
  • Design and implement scalable MLOps supportive data pipelines for data ingestion, processing, and storage.
  • Experience deploying models with MLOps tools such as Vertex Pipelines, Kubeflow, or similar platforms along with Vertex AI.
  • Experience implementing and supporting end-to-end Machine Learning workflows and patterns. Experience with LangChain or similar orchestrator, Vector DB or similar
  • Expert level programming skills in Python and experience with Data Science and ML packages and frameworks.
  • Proficiency with containerization technologies (Docker, Kubernetes) and CI/CD practices.
  • Experience working with large-scale machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, or related frameworks.
  • Experience and knowledge in the most recent advancements in Gen AI, including Gemini, OpenAI, Claud and exposure to open-source Large Language Models (LLMs).
  • Experience building AI/ML products using technologies such as LLMs, neural networks and others.
  • Experience with RAG and Supervised Tuning techniques.
  • Strong distributed systems skills and knowledge.
  • Development experience of at least one public cloud provider, Preferably GCP,Google AutoML.
  • Excellent analytical, written, and verbal communication skills.


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