Dice
"Principal Data Scientist" OR "Machine Learning Architect"
Dice, Dallas, Texas, United States, 75215
Dice is the leading career destination for tech experts at every stage of their careers. Our client, ABAL Technologies Inc, is seeking the following. Apply via Dice today!
Job Title:
Machine Learning Architect
Location:
Dallas, TX (Hybrid) 2 days work from home
Key Responsibilities:
Independently design, develop, and deploy NLP algorithms and models, focusing on text classification, entity recognition, sentiment analysis, and language generation.Utilize Azure OpenAI services, including Azure Language Understanding (LUIS) and Azure Text Analytics, to tackle complex language-related challenges effectively.Develop and maintain robust data processing pipelines for large-scale textual data, ensuring high performance and scalability.Implement MLOps practices to streamline the machine learning lifecycle from development to deployment and monitoring.Collaborate with stakeholders to translate business objectives into technical specifications and actionable project plans.Integrate NLP features into existing applications and systems using Azure APIs and SDKs.Conduct thorough testing and performance tuning to ensure the reliability and efficiency of NLP models and solutions.Utilize Azure DevOps to automate CI/CD pipelines for continuous integration and deployment of NLP models.Monitor and analyze the performance of deployed NLP models and systems, implementing optimizations as required.Stay up-to-date with the latest trends in NLP, MLOps, and Azure services, applying them to enhance existing solutions.Work collaboratively with cross-functional teams, including data scientists, software engineers, and business stakeholders.Minimum Qualifications:
Bachelor's or higher degree in Computer Science, data science, or a related field; equivalent work experience will also be considered.Demonstrated expertise in NLP algorithms and techniques, such as text classification, entity recognition, and sentiment analysis.Strong experience with Azure services, including Azure OpenAI, Azure Cognitive Search, Azure Databricks, and Azure Functions.Hands-on experience with MLOps tools and practices, particularly within the Azure ecosystem.Familiarity with data engineering principles and ETL pipelines.Excellent problem-solving abilities and strong communication skills.Experience with Azure DevOps or similar CI/CD pipelines for deploying NLP solutions.Proficiency in programming languages such as Python, Java, or C#.Familiarity with cloud-based data storage technologies like Azure Data Lake and Azure SQL Database.
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Job Title:
Machine Learning Architect
Location:
Dallas, TX (Hybrid) 2 days work from home
Key Responsibilities:
Independently design, develop, and deploy NLP algorithms and models, focusing on text classification, entity recognition, sentiment analysis, and language generation.Utilize Azure OpenAI services, including Azure Language Understanding (LUIS) and Azure Text Analytics, to tackle complex language-related challenges effectively.Develop and maintain robust data processing pipelines for large-scale textual data, ensuring high performance and scalability.Implement MLOps practices to streamline the machine learning lifecycle from development to deployment and monitoring.Collaborate with stakeholders to translate business objectives into technical specifications and actionable project plans.Integrate NLP features into existing applications and systems using Azure APIs and SDKs.Conduct thorough testing and performance tuning to ensure the reliability and efficiency of NLP models and solutions.Utilize Azure DevOps to automate CI/CD pipelines for continuous integration and deployment of NLP models.Monitor and analyze the performance of deployed NLP models and systems, implementing optimizations as required.Stay up-to-date with the latest trends in NLP, MLOps, and Azure services, applying them to enhance existing solutions.Work collaboratively with cross-functional teams, including data scientists, software engineers, and business stakeholders.Minimum Qualifications:
Bachelor's or higher degree in Computer Science, data science, or a related field; equivalent work experience will also be considered.Demonstrated expertise in NLP algorithms and techniques, such as text classification, entity recognition, and sentiment analysis.Strong experience with Azure services, including Azure OpenAI, Azure Cognitive Search, Azure Databricks, and Azure Functions.Hands-on experience with MLOps tools and practices, particularly within the Azure ecosystem.Familiarity with data engineering principles and ETL pipelines.Excellent problem-solving abilities and strong communication skills.Experience with Azure DevOps or similar CI/CD pipelines for deploying NLP solutions.Proficiency in programming languages such as Python, Java, or C#.Familiarity with cloud-based data storage technologies like Azure Data Lake and Azure SQL Database.
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