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4 machine learning platform engineer jobs at 4 companies in Limerick, PA

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Principal Data & Machine Learning Engineer
Malvern, Pennsylvania, United States
HybridFull Time
Akuvo
Akuvo: Provides AI-powered collections and credit risk software for financial institutions.
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
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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
EY
EY: Global firm providing audit, tax, and professional consulting services.
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
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Lead AI Engineer
Holmdel or Bethlehem or New York City
$119k-$195k/yr HybridFull Time
Guardian Life
Guardian Life: Provides life, disability, dental, and vision insurance products.
Advanced knowledge of machine learning engineering, distributed systems, cloud infrastructure, AI platforms, LLMs, RAG pipelines, orchestration, agentic frameworks, secure APIs, and enterprise governance.
Large Language Models (LLMs), retrieval-augmented generation (RAG), model orchestration frameworks, Agentic frameworks, API, cloud infrastructure, AI platforms
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Technical Lead Manager, MLOps
New York City or United States or Philadelphia or Boston
$199k-$241k/yr HybridFull Time
Veho
Veho: Provides AI-powered last-mile delivery services for e-commerce brands.
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
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