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Build and deploy generative AI chatbots, predictive models, and analytics dashboards using Python, LLMs, and tools like Streamlit and Power BI.
Build and deploy AI-powered Python applications, REST APIs, and ML pipelines using TensorFlow/PyTorch, Docker, and cloud AI services.
Build and maintain real-time AML data pipelines and ML models using Spark, Kafka, and cloud platforms to detect money laundering for financial institutions.
Build and deploy ML/AI models (recommenders, NLP, GenAI agents) for clients using Python, cloud platforms, and frameworks like PyTorch and LangGraph.
Build and maintain scalable data pipelines for AI/ML projects using Python, PySpark, SQL, and cloud platforms like AWS/GCP/Azure.
Builds and deploys AI-driven synthetic data pipelines using diffusion models and differential privacy to create privacy-safe datasets for enterprise clients.
Builds and maintains Python-based engineering tools (FastAPI, REST APIs, Docker) that help MEMS developers design and produce ultra-precise timing devices.
Design and solve complex, real-world data science problems in Python and SQL to train and improve generative AI models for diverse industries.
Build ML and statistical models to optimize medical-device manufacturing quality and yield, using Python/R and frameworks like TensorFlow/PyTorch.
Builds and tests data-centric solutions using Python, big-data tools, and cloud platforms to meet business needs and ensure high-quality, scalable data pipelines.
Data Analyst & QA Engineer builds and tests data pipelines, profiles datasets, and turns validated data into clear insights for life-sciences projects using Python, SQL, and Power BI.
Build and optimize large-scale data pipelines for aerospace and defense clients using Python, Spark, and PostgreSQL on Cloudera/Hadoop clusters.
Develop and maintain MATLAB/Python-based analysis tools for aerospace test data, integrating mathematical models for avionics, performance, and systems testing across Airbus programs.
Develop and maintain aerospace test-analysis software in MATLAB/Python, migrating legacy tools to a new Time Series Analysis Platform while collaborating with engineering teams.
Disclaimer: This posting is not an opportunity to work for Clean Foundation. Clean Foundation is supporting the hiring process for Green Jobs Internship Programs. The organization participating in Green Jobs Internship…
Build and deploy AI/ML models for industrial use cases like predictive maintenance and process optimization, using Python, TensorFlow/PyTorch, and MLOps pipelines.
Build and evaluate data-driven solutions for smart buildings and climate tech using Python, Azure ML, and SQL; track impact with attribution methods.
Designs and maintains Big Data pipelines, data warehouses, and analytics platforms using Spark, Hadoop, and cloud tools to enable data-driven business decisions.
Senior Data Scientist builds and leads AI/ML models and analyses to solve complex business problems using Python, Databricks, and LLM workflows, translating data insights into actionable strategies.
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