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Masters Remote Python Data Developer Jobs
Artificial Intelligence Architect
related field preferred 15+ years of specialized experience in Company systems required Proven success in architecting and deploying ML workflows in cloud environments Hands-on experience with ML/DL frameworks and strong programming skills in Python...Familiarity with federal data governance, security, and privacy standards
Texas Licensed Speech Language Pathologist
Key Responsibilities Conduct comprehensive speech and language evaluations and analyze assessment data Develop and implement individualized education programs (IEPs) in collaboration with the ARD committee Provide direct and indirect speech and language
Principal AI Research Scientist
technologies and methodologies to enhance product development and customer experience Required Qualifications 7+ years of experience in Machine Learning and Predictive Modeling, with expertise in Generative AI and Agentic AI Advanced proficiency in Python...and PyTorch for data manipulation and AI/ML model training Experience in software development and collaboration across teams Advanced degree (Ph.D. or M.S.) in Statistics, Applied Mathematics, Data Science, Computer Science, or a related field Ability
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Senior Data Scientist
., Python, R, SQL) and data visualization tools (e.g., PowerBI, Tableau) Experience working with cloud platforms (e.g., AWS, Azure, GCP) and version control tools such as Git Experience with machine learning and natural language processing algorithms
Data Scientist
modeling Build, train, and evaluate custom machine learning models for security use-cases Required Qualifications Master's degree in computer science/engineering 4-5 years of experience in data science or a related field Strong proficiency in Python...programming language Experience with data analysis and visualization tools (e.g., Pandas/Polars, NumPy, Matplotlib, Seaborn) Knowledge of machine learning algorithms and techniques
Senior Data Scientist
Key Responsibilities Lead data acquisition efforts and ensure data quality while adhering to privacy policies Mentor team members in data cleaning and analysis best practices and drive onboarding of new data sets Develop data-driven strategies and
AI Engineer
Utilize AI/ML operations tools to deploy and manage machine learning pipelines Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field 3-5 years of experience in machine learning, data...science, or AI development Proficiency in Python, R, or other programming languages used in machine learning Hands-on experience with machine learning frameworks and deep learning libraries Familiarity with AI operations tools such as Snowflake Cortex
Data Engineer
Qualifications Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field 3-5+ years of experience in building and supporting complex data systems in cloud environments Strong programming skills in Java, Scala, or Python...Deep knowledge of distributed data processing frameworks such as Spark, Kafka, or Flink Experience with cloud services (preferably AWS) and containerized environments (Docker, Kubernetes)
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
Senior Data Engineer
Required Qualifications Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field 7+ years of experience building and supporting complex data systems in cloud environments Strong proficiency in Java, Scala, or Python...Deep knowledge of distributed data processing frameworks (e.g., Spark, Kafka, Flink) Hands-on experience with cloud services (AWS) and containerized environments (Docker, Kubernetes)
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