5 ml ops engineer jobs at 5 companies in Devon, PA
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Senior AI/ML Engineer
Titusville, New Jersey, United States
$155k-$175k/yr HybridFull Time
3+ YOEMaster's degree accepted and 3 years' related experience. Experience building end-to-end ML products, Python or R, TensorFlow/PyTorch/Keras, CI/CD with Docker/Kubernetes/Helm/Jenkins/Gitlab, XGBoost/NLP/LLM, and ML Ops.
Python, R, TensorFlow, PyTorch, Keras, Docker, Kubernetes, Helm, Jenkins, Gitlab, XGBoost, LLM
2w
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Slalom Flex (Project Based)- ML Ops Engineer
Philadelphia, Pennsylvania, United States
$80-$100/hr HybridFull Time
5+ YOEBachelor's/Master's in a quantitative field,5+ years ML engineering/MLOps experience,Python and ML framework proficiency,Azure Databricks and MLflow experience,CI/CD and containerization skills,enterprise production deployment experience.
Scikit-learn, PyTorch, TensorFlow, FastAPI, Flask, MLflow, Apache Spark, Delta Lake, Databricks, Unity Catalog, Feature Store, Git, Docker, Azure Data Lake Storage Gen2 (ADLS), Azure Key Vault, Azure Monitor, Azure DevOps, GitHub Actions
2mo
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Associate Director, AI/ML Engineering
Princeton or San Diego or South San Francisco
$159k-$199k/yr HybridFull Time
7+ YOE7+ years AI/ML engineering; hands-on with Generative/agentic AI; multi-agent frameworks; MCP servers; RAG pipelines; Python; ML Ops/LMM Ops; travel required.
Python, PyTorch, TensorFlow, scikit-learn, Hugging Face, LangGraph, AutoGen, CrewAI, Semantic Kernel
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Data Engineer – Agentic AI & ML Ops (Co-op)
Camden, New Jersey, United States
OnsiteFull Time, Internship
Pursuing a degree in CS or related; knowledge of SQL, Python/PySpark, ETL/ELT, and APIs; familiarity with Databricks, Snowflake, Azure, ADLS, ADF, Power BI and Git; exposure to LLMs/GenAI, Agentic AI, MLOps, and CI/CD.
Databricks, Snowflake, Azure, ADLS, ADF, Power BI, Python, PySpark, SQL, LLMs, Git, APIs, CI/CD, MLOps, GenAI, Agentic AI
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Technical Lead Manager, MLOps
New York City or United States or Philadelphia or Boston
$199k-$241k/yr HybridFull Time
6+ YOEBachelor's degree plus 6+ years (or Master's plus 4+ years) in ML engineering; experience building ML platforms, training/serving infrastructure, feature stores, orchestration, monitoring, deployment pipelines; experience managing ML Platform/ML Ops teams; hands-on with Ray, Flink, Feast; cloud data tooling (AWS, Redshift, Databricks, Snowflake); s...
Ray, Flink, Feast, AWS, Redshift, Databricks, Snowflake, Python