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Job Description

Vforce Infotech is hiring a Generative AI Engineer to build and operationalize generative AI models alongside scalable big data pipelines.

Responsibilities

  • Design, develop, and iterate on generative AI models using frameworks such as TensorFlow and machine learning/AI-based analysis techniques
  • Build scalable training pipelines for large datasets using AWS and machine learning cloud platforms
  • Perform statistical modeling and research analysis to validate model accuracy and robustness
  • Create and maintain ETL data pipelines using Talend and Hadoop to support training and analytics
  • Support data quality and integrity through pipeline and dataset preparation practices
  • Collaborate on database design and optimize SQL databases to enable efficient retrieval for training and deployment
  • Deploy generative AI models to production, focusing on scalability, performance, and integration with existing systems
  • Apply natural language processing (NLP) techniques to language understanding tasks in generative AI applications
  • Use R and SAS for research-driven insights, including predictive modeling analysis and statistical validation
  • Implement model evaluation strategies using Spark (including Spark implementation) to improve accuracy and reliability
  • Contribute to data mining strategies and big data systems using Hadoop, Spark, and related analytics tools to extract actionable insights

Requirements

  • Proven experience developing and deploying generative AI models with strong machine learning background, including TensorFlow or similar platforms
  • Hands-on expertise with big data systems, including Hadoop, Spark, and related technologies for large-scale processing
  • Programming experience in Python, Java, C, VBA, Bash (Unix shell) with focus on AI implementation and training workflows
  • Strong understanding of statistical analysis tools such as R or SAS for research and model validation
  • Experience with SQL databases, data analytics platforms like Looker or Talend, and cloud services such as AWS (or other machine learning cloud services)
  • Knowledge of NLP, predictive modeling analysis, data mining techniques, and scalability considerations for AI solutions
  • Quantum engineering concepts familiarity is a plus; passion for innovative technology is essential
  • Highly desirable: prior experience building scalable AI models for natural language understanding and/or generative tasks

Skills & Technologies

  • TensorFlow
  • AWS
  • Talend
  • Hadoop
  • SQL
  • Natural language processing (NLP)
  • R
  • SAS
  • Spark
  • Looker
  • Python
  • Java
  • C
  • VBA
  • Bash (Unix shell)

Location: Edison, NJ (onsite)

Salary: USD 60,000 - 80,000 per year

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