Generative AI Engineer

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