Generative AI Engineer
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