Exercise Science Jobs 2026 (Now Hiring) – Smart Auto Apply
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ML Data Science Engineer
$53 - $55 / hour
Posted 30+ days ago

Teacher - Health Science Ed (RN Required)
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Junior Project Manager Pharma Life Science
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Project Engineer - Life Science Construction
$65,000 - $100,000 / year
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Science Teacher
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Medical Science Director (Mid-Atlantic Region)
$200,000 - $240,000 / year
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$130,000 - $180,000 / year
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Science Tutor
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2026 - 2027 Grade 7 Science & Social Studies Teacher (Park Ridge Achievement Academy)
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Political Science Graduate
$35 - $39 / hour
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Assistant Professor Of Environmental Science And Studies (Fisheries Biology)
$69,519 - $74,000 / year
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Senior Manager Of Data Science
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Senior Data Science Lead
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Senior Data Science Engineer I, Spines
Posted today
Academic Tutor (Math, Science, World Language)
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26-27 SY Teaching Jobs: Biology/Life Science
Posted 30+ days ago

ML Data Science Engineer
$53 - $55 / hour
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Overview
Job Description
- We are seeking a highly skilled Data Science Engineer to design and develop scalable ML and Generative AI solutions.
- The ideal candidate will have deep expertise in Python, hands-on experience in model training, document processing pipelines, and strong knowledge of vector databases and modern ML/GenAI frameworks.
- Data Science Engineer to design and develop scalable ML and Generative AI solutions.
- Python, hands-on experience in model training, document processing pipelines.
- Vector databases and modern ML/GenAI frameworks, deploy machine learning and GenAI solutions using Python Design.
- LLM-based applications Build document extraction, parsing, and chunking pipelines for structured and unstructured data Train, evaluate, and fine-tune ML models.
- workflows Implement embedding generation and vector search solutions Integrate ML models with Vector DBs and MongoDB Ensure code quality, scalability, and production readiness.
- Solid understanding of ML algorithms and Generative AI concepts Experience working with Vector Databases and/or MongoDB.
- Develop and deploy machine learning and GenAI solutions using Python Design and optimize prompt engineering strategies for LLM-based applications Build document extraction, parsing, and chunking pipelines for structured and unstructured data Train, evaluate, and fine-tune ML models; manage tagging and labeling workflows Implement embedding generation and vector search solutions Integrate ML models with Vector DBs and MongoDB Ensure code quality, scalability, and production readiness
- Expert-level proficiency in Python Strong experience in model training, evaluation, and tagging workflows
- Hands-on experience with document extraction and chunking techniques
- Solid understanding of ML algorithms and Generative AI concepts Experience working with Vector Databases and/or MongoDB
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Submit 10x as many applications with less effort than one manual application.
