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Business Analyst

Vforce Infotech

Full-time | Contract

Edison, NJ

Job description

Job Overview
We are seeking a dynamic and innovative Generative AI Engineer to join our forward-thinking team. In this role, you will lead the development and deployment of cutting-edge generative artificial intelligence models that transform data into meaningful insights and creative outputs. Your expertise will drive the design, training, and optimization of AI systems, leveraging a broad spectrum of machine learning frameworks and big data technologies. This position offers an exciting opportunity to shape the future of AI-driven solutions across diverse applications, empowering our organization to stay at the forefront of technological innovation. You will collaborate with cross-functional teams to implement scalable models that enhance our products and services, ensuring robust performance and seamless integration.

What you’ll do

  • Design, develop, and refine generative AI models using frameworks such as TensorFlow and other machine learning tools to produce high-quality outputs in natural language processing, data synthesis, or image generation.
  • Lead model training initiatives utilizing unsupervised learning techniques to uncover hidden patterns within large datasets.
  • Deploy AI models into production environments through scalable cloud solutions on AWS, ensuring reliability and efficiency.
  • Develop ETL pipelines for data extraction, transformation, and loading from diverse sources including Hadoop, Spark, Talend, and SQL databases to support model training and analytics efforts.
  • Collaborate with data engineers to design optimal database schemas and implement linked data architectures for enhanced data accessibility and integration.
  • Conduct extensive data mining and analytics to identify opportunities for AI enhancements; utilize SAS, R, Python, and Bash scripting for data analysis tasks.
  • Optimize machine learning workflows by leveraging frameworks such as TensorFlow, Spark MLlib, or other relevant tools for model training and evaluation.
  • Lead efforts in model deployment strategies ensuring seamless integration with existing systems while maintaining high performance standards.
  • Stay abreast of emerging trends in quantum engineering, natural language processing (NLP), and AI research to continuously improve our technological capabilities.
  • Document processes thoroughly and communicate technical insights clearly across teams to foster innovation-driven collaboration.

Qualifications

  • Proven experience in developing generative AI models using machine learning frameworks like TensorFlow or similar platforms.
  • Strong programming skills in Python; familiarity with Java, C, VBA, Bash (Unix shell), or other languages is a plus.
  • Hands-on experience with big data technologies such as Hadoop, Spark, or Talend for large-scale data processing.
  • Deep understanding of unsupervised learning techniques and their application in real-world scenarios.
  • Expertise in database design principles along with proficiency in SQL for data querying and management.
  • Knowledge of natural language processing (NLP) techniques for text generation or understanding tasks.
  • Experience deploying AI models into cloud environments like AWS for scalable production use.
  • Familiarity with analytics tools such as Looker for visualization and insights generation.
  • Strong analytical skills combined with the ability to mine complex datasets for actionable intelligence.
  • Excellent communication skills with the ability to translate technical concepts into clear business value propositions. Join us if you’re passionate about pushing the boundaries of artificial intelligence! We provide a vibrant environment where innovation thrives—empowering you to craft transformative solutions that make a real impact on our organization’s future success.

Pay: $60,000.00 - $80,000.00 per year

Benefits:

  • Dental insurance
  • Green card sponsorship
  • Health insurance
  • Visa sponsorship
  • Vision insurance

Work Location: In person