4 machine learning platform engineer jobs at 4 companies in Pennsylvania
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Principal Data & Machine Learning Engineer
Malvern, Pennsylvania, United States
HybridFull Time
10+ YOE3+ Mgmt10+ years in software/data engineering and ML, 3+ years technical leadership, strong Python and SQL, cloud data/ML platform experience (Azure preferred), production model lifecycle ownership.
Azure, Python, SQL, Microsoft Fabric, OneLake, Databricks, Synapse, Azure DevOps, CI/CD, ETL/ELT
1mo
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Machine Learning Engineer / Data Scientist
Arizona or California or Colorado or Florida or Georgia or Illinois or Indiana or Massachusetts or Michigan or Minnesota or Missouri or New Jersey or New York or North Carolina or Ohio or Pennsylvania or Texas or Wisconsin
$101k-$168k/yr RemoteFull Time
3+ YOEBachelor's or Master's in CS/Data Science/Statistics/Math (or related experience). 3+ years relevant experience (Master's) or 5+ years (Bachelor's). Proficient in Python, ML/LLM architectures, RAG pipelines, ML libraries, cloud platforms, MLflow and Git.
Python, Scikit-learn, PyTorch, NumPy, Pandas, LangChain, LlamaIndex, MLflow, Git, AWS, GCP, Azure, Docker, Databricks
1mo
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Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) - Senior (Manayunk, PA, US, 19127)
Manayunk or Charlotte or San Antonio or Jacksonville or Alpharetta
$66k-$134k/yr HybridFull Time
3+ YOE3+ years Python and production ML deployment; hands-on LLM experience (GPT-4, Claude, Llama); agentic frameworks (LangChain, AutoGen, CrewAI); vector DBs (Pinecone, Weaviate, Chroma); cloud ML platforms and MLOps practices.
LangChain, AutoGen, CrewAI, Pinecone, Weaviate, Chroma, AWS SageMaker, Azure OpenAI Service, Google Vertex AI, Python, GPT-4, Claude, Llama, Kafka, Flink, LoRA, QLoRA, PEFT, Snowflake, Databricks, AWS, Azure, GANs, Transformers
1mo
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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