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Experienced / Part Time Remote Python Data Jobs
Senior Machine Learning Engineer
infrastructure for secure and compliant model serving Required Qualifications 10+ years Company professional software or ML engineering experience or equivalent expertise Proficiency in ML frameworks and deployment workflows, including AWS, GCP, Azure, Python..., and TensorFlow Experience with data preprocessing, feature engineering, and model serving at production scale Able to drive cross-team AI development projects on time and with high quality Advanced degree in Computer Science, Machine Learning, or
Threat Investigator
Key Responsibilities Proactively detect and reacquire bad actors on the platform Investigate potentially policy-violating activity using SQL and Python to query internal data sources Document and share investigative findings with internal stakeholders
Data Scientist
their data needs and deliver tailored solutions Required Qualifications 3+ years of experience in data transformation, systems integration, or message translation Experience with serialized binary formats and communication protocols Knowledge of Python...and data manipulation libraries Bachelor's degree in Computer Science, Data Science, or Electrical Engineering Secret clearance
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AI/ML Instructor
constructive feedback to support their progression Serve as a role model and ambassador, promoting student retention and satisfaction Required Qualifications 5+ years of experience in GenAI/Machine learning/deep learning Working knowledge of Applied Data...Science with Python Good knowledge of Machine Learning and Deep Learning with Keras and TensorFlow A passion for teaching and the ability to explain complex technical concepts A history of integrity in professional conduct
Senior Data Engineer
Establish operating standards and service-level agreements with analysts and data scientists Lead technical discussions on data architecture and collaborate with engineering teams Required Qualifications: 5+ years of experience in data engineering and data...modeling Proficiency in Python and scalable data infrastructure Deep expertise with cloud-based data platforms, preferably AWS Experience with data pipelines using Airflow and data storage systems like S3 and Redshift Strong knowledge of SQL, Python
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