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Direct client position-Machine Learning Architect-Hybrid- Dallas, TX

3 months ago


Dallas, Texas, United States Accion Labs Full time


Job Title:
Machine Learning Architect

Company:
Accion Labs

Location:
Dallas, TX (Hybrid)- 2days onsite

Key Responsibilities:
  • Design, develop, and deploy NLP algorithms and models for text classification, sentiment analysis, and more.
  • Utilize Azure OpenAI services like Azure Language Understanding (LUIS) and Azure Text Analytics.
  • Build and maintain data processing pipelines for large-scale textual data.
  • Implement MLOps practices for efficient machine learning lifecycle management.
  • Collaborate with stakeholders to align technical solutions with business objectives.
  • Integrate NLP features into existing systems using Azure APIs.
  • Test, tune, and ensure reliability and efficiency of NLP models.
  • Utilize Azure DevOps for CI/CD automation.
  • Monitor and optimize performance of NLP models and systems.
  • Stay updated on NLP, MLOps, and Azure trends for solution enhancement.
  • Work with cross-functional teams to drive project success.
Qualifications:
  • Bachelor's or higher degree in Computer Science or related field.
  • Expertise in NLP algorithms and techniques.
  • Experience with Azure services like Azure Cognitive Search, Azure Databricks, etc.
  • Hands-on experience with MLOps tools, Azure ecosystem familiarity.
  • Knowledge of data engineering principles and ETL pipelines.
  • Strong problem-solving and communication skills.
  • Proficiency in programming languages like Python, Java, or C#.
  • Experience with Azure DevOps and cloud-based data storage technologies.

This role welcomes candidates interested in W2 or corp-to-corp employment. The salary range is $145k-$155k annually. For corp-to-corp rates, please reach out to a recruiter.

In addition to other benefits, Accion Labs provides a comprehensive benefits package, covering 65% of medical, dental, and vision premiums for employees and their families.

Note:

Accion Labs upholds equal opportunity employment, fostering a diverse culture that values integrity, innovation, leadership, and teamwork.