ECLARO
AI Engineer
ECLARO - Seattle, Washington, us, 98127
Work at ECLARO
Overview
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Overview
This range is provided by ECLARO. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$100.00/hr - $105.00/hr Direct message the job poster from ECLARO Type:
1 year contract - possible extension Responsibilities Design and build scalable data pipelines using python, SQL and cloud-based tools (Azure, AWS) Develop and maintain analytics models and data transformation using dbt, airflow and data warehouses (ex: Snowflake, BigQuery) Build and manage dashboards and data visualizations using web-based tools, Tableau, Power BI Ensure data quality, governance and security compliance across engineering workflows Responsible for ingestion, integration and delivery of data products and insights across multiple platforms applying and maintaining data integrity and governance rules Knowledge of deep learning methods for NLP (quantitative area of study, Comp Science preferred) Support adhoc analytics initiatives for clinical trials, commercial ops and digital health systems Utilizes supervised or unsupervised methods, learning from vast amounts of unlabeled data to drive insight Experience working with unstructured text Develop high quality analytical and statistical models, insights, patterns, visualizations, that can be used to improve decision making in manufacturing operations Responsible for documentation of all technical work both within and outside of formal document management systems Required Qualifications 5+ Yrs of experience in data engineering, analytics or applied machine learning Strong python and SQL Skills, experience in ETL Orchestration tools (Airflow, Prefect. Domino) ability to manipulate and analyze complex datasets. Proficiency in modern data stack (dbt, snowflake/Big Query, version control, CI/CD pipelines) Experience and familiarity in DataOps/MLOps frameworks, AI/LLM tooling such as OpenAI ,Langchain, Hugging face Transformers Strong communication and stakeholder engagement skills Experience in regulated industry (Pharma, biotech or life sciences) is highly preferred Solid grasp of data science fundamentals: causal inference, regression, classification, experimental design Nice to Have Knowledge of GxP, HIPAA or compliance standards experience with data modelling in clinical trials, real world evidence (RWE) or commercial analytics Familiarity with NLP, time series forecasting, or image analytics in healthcare. Master’s degree or PhD in Public Health, Economics, Statistics, Computer/Data Science, or related field Per manager, the Top 3 – 5 Must Have’s a candidate should have are : Experience in Data engineering, analytics or applied machine learning Strong python and SQL Skills, experience in ETL Orchestration tools (Airflow, Prefect. Domino) ability to manipulate and analyze complex datasets. Seniority level
Seniority level Associate Employment type
Employment type Contract Job function
Job function Business Development, Engineering, and Science Industries Biotechnology Research and Pharmaceutical Manufacturing Referrals increase your chances of interviewing at ECLARO by 2x Get notified about new Artificial Intelligence Engineer jobs in
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$100.00/hr - $105.00/hr Direct message the job poster from ECLARO Type:
1 year contract - possible extension Responsibilities Design and build scalable data pipelines using python, SQL and cloud-based tools (Azure, AWS) Develop and maintain analytics models and data transformation using dbt, airflow and data warehouses (ex: Snowflake, BigQuery) Build and manage dashboards and data visualizations using web-based tools, Tableau, Power BI Ensure data quality, governance and security compliance across engineering workflows Responsible for ingestion, integration and delivery of data products and insights across multiple platforms applying and maintaining data integrity and governance rules Knowledge of deep learning methods for NLP (quantitative area of study, Comp Science preferred) Support adhoc analytics initiatives for clinical trials, commercial ops and digital health systems Utilizes supervised or unsupervised methods, learning from vast amounts of unlabeled data to drive insight Experience working with unstructured text Develop high quality analytical and statistical models, insights, patterns, visualizations, that can be used to improve decision making in manufacturing operations Responsible for documentation of all technical work both within and outside of formal document management systems Required Qualifications 5+ Yrs of experience in data engineering, analytics or applied machine learning Strong python and SQL Skills, experience in ETL Orchestration tools (Airflow, Prefect. Domino) ability to manipulate and analyze complex datasets. Proficiency in modern data stack (dbt, snowflake/Big Query, version control, CI/CD pipelines) Experience and familiarity in DataOps/MLOps frameworks, AI/LLM tooling such as OpenAI ,Langchain, Hugging face Transformers Strong communication and stakeholder engagement skills Experience in regulated industry (Pharma, biotech or life sciences) is highly preferred Solid grasp of data science fundamentals: causal inference, regression, classification, experimental design Nice to Have Knowledge of GxP, HIPAA or compliance standards experience with data modelling in clinical trials, real world evidence (RWE) or commercial analytics Familiarity with NLP, time series forecasting, or image analytics in healthcare. Master’s degree or PhD in Public Health, Economics, Statistics, Computer/Data Science, or related field Per manager, the Top 3 – 5 Must Have’s a candidate should have are : Experience in Data engineering, analytics or applied machine learning Strong python and SQL Skills, experience in ETL Orchestration tools (Airflow, Prefect. Domino) ability to manipulate and analyze complex datasets. Seniority level
Seniority level Associate Employment type
Employment type Contract Job function
Job function Business Development, Engineering, and Science Industries Biotechnology Research and Pharmaceutical Manufacturing Referrals increase your chances of interviewing at ECLARO by 2x Get notified about new Artificial Intelligence Engineer jobs in
Seattle, WA . Seattle, WA $99,500.00-$187,000.00 1 week ago Seattle, WA $100,000.00-$220,000.00 5 months ago Seattle, WA $167,000.00-$185,500.00 2 weeks ago Software Developer-Artificial Intelligent/Machine Learning
Seattle, WA $112,725.00-$177,840.00 6 days ago Software Engineer - AI/ML, Multiple Locations
Redmond, WA $84,200.00-$180,400.00 6 days ago Seattle, WA $160,000.00-$180,000.00 4 days ago Bellevue, WA $80,000.00-$90,000.00 6 days ago Seattle, WA $176,600.00-$225,900.00 4 days ago Machine Learning Engineer, Payments ML Accelerator
Seattle, WA $212,000.00-$318,000.00 6 days ago Software Engineer, Machine Learning (All levels)
Seattle, WA $120,000.00-$300,000.00 3 days ago Machine Learning Engineer, Monetization Engineering
Machine Learning Engineer, Forecast Platform
Seattle, WA $112,725.00-$177,840.00 6 days ago Seattle, WA $110,000.00-$160,000.00 3 days ago Seattle, WA $140,000.00-$220,000.00 1 month ago Seattle, WA $147,000.00-$259,000.00 2 weeks ago Bellevue, WA $147,000.00-$259,000.00 2 weeks ago Seattle, WA $130,000.00-$165,000.00 1 week ago Kirkland, WA $141,000.00-$202,000.00 2 weeks ago Machine Learning Engineer Graduate (TikTok E-Commerce - Conversational AI)-2025 Start (BS/MS)
Seattle, WA $112,725.00-$177,840.00 4 days ago Bellevue, WA $130,000.00-$170,000.00 1 month ago Seattle, WA $100,000.00-$720,000.00 2 weeks ago Applied AI Engineer & Researcher - Seattle, USA
Seattle, WA $100,000.00-$220,000.00 5 months ago Bellevue, WA $129,300.00-$223,600.00 3 days ago Seattle, WA $70,000.00-$150,000.00 1 week ago Machine Learning Engineer, Core Engineering
Redmond, WA $100,600.00-$215,400.00 2 weeks ago Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance)- 2025 Start (MS)
Seattle, WA $112,725.00-$177,840.00 20 hours ago Python Engineer - Python, C++, Machine learning
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr