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4 python cloud developer jobs at 4 companies in West Lafayette, IN

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Application Developer
Indiana, United States
RemoteFull Time
Purdue University
Purdue University: Public research university providing undergraduate and graduate degree programs.
2+ YOEBachelor's or equivalent and 2+ years application development experience across the SDLC; proficiency in modern languages, web technologies, databases, APIs, secure coding, troubleshooting, and communication.
JavaScript, TypeScript, Java, C#, Python, Azure, AWS, Google Cloud, Docker, Kubernetes, Scrum, Kanban
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Senior Data Engineer – Insurance Data Platform
Danville, Illinois, United States
$100k-$150k/yr RemoteFull Time
CCMSI
CCMSI: Independent third-party administrator for insurance claims and risk management.
8+ YOE8+ years data engineering experience with 5+ years on insurance data; expert SQL, Python (pandas, PySpark), cloud data warehouse experience, ELT/ETL and orchestration tools, Azure/IaC familiarity, strong communication and stakeholder collaboration skills.
iCE, SQL, Python, pandas, PySpark, SQLAlchemy, Snowflake, Databricks, BigQuery, Synapse, Redshift, Azure, Terraform, Bicep, CloudFormation, Git, CI/CD, Kafka, Kinesis, Event Hubs, Debezium
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Faculty Fellow - Artificial Intelligence
Lafayette, Indiana, United States
$55k/yr OnsiteFull Time, Contract
Ivy Tech Community College
Ivy Tech Community College: Provides public community college education and workforce training.
Master's degree in CS/AI/Data Science or related required; demonstrated AI expertise; programming skills in Python, R, or Java; ability to teach undergraduate AI courses, develop curriculum, and mentor students.
Python, R, Java, AWS, Azure, Google Cloud
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Artificial Intelligence Architect
New York or Wisconsin or Georgia or New Jersey or Highland Park or Punta Gorda or Tennessee or Pennsylvania or Kentucky or Ohio or Indiana or Keswick
RemoteFull Time
M2S Group
M2S Group: Manufacturer of engineered coatings and specialty print media.
8+ YOE8+ years in software or data architecture with 4+ years focused on ML systems; deep cloud platform expertise; experience designing production ML pipelines, MLOps, model monitoring, and LLM/GenAI architectures.
Python, SQL, Scala, PyTorch, TensorFlow, scikit-learn, Hugging Face, Docker, Kubernetes, CI/CD, MLflow, AWS, Azure, GCP, Spark, Airflow
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