Generative AI Engineer

Job Overview
We are seeking an innovative and highly skilled Generative AI Engineer to join our dynamic team. In this role, you will spearhead the development, implementation, and optimization of cutting-edge generative AI models that drive transformative solutions across various domains. Your expertise will enable us to harness the power of artificial intelligence to create scalable, efficient, and impactful AI-driven applications. This position offers an exciting opportunity to work at the forefront of AI technology, collaborating with cross-functional teams to push the boundaries of what’s possible with generative models and big data systems.

Responsibilities

• Design, develop, and refine generative AI models utilizing frameworks such as TensorFlow and machine learning/AI-based analysis techniques.
• Implement scalable model training pipelines leveraging cloud services like AWS and machine learning cloud platforms to handle large datasets efficiently.
• Conduct statistical modeling and analysis for research purposes, ensuring rigorous evaluation of AI models for accuracy and robustness.
• Develop data pipelines using ETL tools like Talend and Hadoop to prepare big data for training and analysis, ensuring data quality and integrity.
• Collaborate on database design and optimize SQL databases for efficient data retrieval essential for model training and deployment.
• Deploy AI models into production environments, ensuring scalability, performance, and seamless integration with existing systems.
• Utilize natural language processing (NLP) techniques for language understanding tasks within generative AI applications.
• Engage in statistical analysis tools such as R and SAS for research insights, supporting predictive modeling analysis and statistical validation of models.
• Implement model evaluation strategies using machine learning frameworks like Spark implementation to enhance model accuracy and reliability.
• Contribute to the development of data mining strategies and big data systems utilizing Hadoop, Spark, and other analytics tools to extract actionable insights from complex datasets.

Experience

• Proven experience in developing and deploying generative AI models with a strong background in machine learning frameworks such as TensorFlow or similar platforms.
• Hands-on expertise in big data systems including Hadoop, Spark, and related technologies for large-scale data processing.
• Demonstrated proficiency in programming languages such as Python, Java, C, VBA, Bash (Unix shell), with a focus on AI implementation and model training workflows.
• Strong understanding of statistical analysis tools like R or SAS for research-driven insights and model validation.
• Experience working with SQL databases, data analytics platforms like Looker or Talend, and cloud services such as AWS or other machine learning cloud services.
• Knowledge of natural language processing (NLP), predictive modeling analysis, data mining techniques, and scalability considerations in AI solutions.
• Familiarity with quantum engineering concepts is a plus but not required; a passion for innovative technology is essential.
• Prior involvement in developing scalable AI models that support natural language understanding or generative tasks is highly desirable.

Join us if you’re passionate about leveraging advanced AI techniques to solve complex problems! We’re dedicated to fostering an environment where your expertise can thrive while contributing to groundbreaking innovations in artificial intelligence technology.

Equal Opportunity Employer Statement
VForce Infotech is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other legally protected status.

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

Work Location: In person