Artificial Intelligence (AI) Engineer

Vdart - Jersey City, NJ

Full-time - Mid Level

Jersey City, NJ

1,001-5,000 employees

Professional, Scientific, and Technical Services

About the position

As a Machine Learning Engineer on our core Software AIML team, you will be at the forefront of designing and developing cutting-edge GenAI applications. This role involves working closely with business stakeholders and data engineers to communicate AI recommendations to senior management. You will engage deeply with business teams to identify opportunities and translate their needs into innovative and practical AIML solutions. Your responsibilities will include designing, building, and deploying state-of-the-art AIML models to solve complex business problems, as well as understanding key performance levers and metrics to highlight AIML solution operational issues and drive improvement. In this position, you will foster close collaboration with engineers and infrastructure partners to implement robust and scalable solutions. You will also be responsible for effectively communicating the results and insights to partners and senior leaders, providing clear and actionable recommendations. Staying updated with the latest trends, technologies, and best practices in AI and GenAI, as well as regularly researching and presenting new ideas to improve the team's technical capabilities, will be essential to your success in this role.

Responsibilities

• Engage deeply with business teams to identify opportunities and translate the needs into innovative and practical AIML solutions
• Design, build, and deploy state of the art AIML models to solve complex business problems
• Understand key performance levers and metrics to highlight AIML solution operational issues and drive improvement
• Foster close collaboration with engineers and infrastructure partners to implement robust and scalable solutions
• Communicate the results and insights effectively to partners and senior leaders, providing clear and actionable recommendations
• Stay updated with the latest trends, technologies, and best practices in AI and GenAI and data engineering
• Regularly research and present new ideas to improve the team's technical capabilities

Requirements

• Industry experience of 10+ years with a BSCS, or 5+ years with an MS/PhD in Computer Science, Statistics, Applied Math, or a related field
• Expert in AIML modeling, Python, AIML Infrastructure, model deployment and MLOps
• Experience working in Supply Chain, Operations, or a related field
• End to end GenAI application experience
• Knowledge in RAG, Prompt Engineering, LoRA and other GenAI techniques
• Ability to operate independently and lead without authority
• Superb communication and interpersonal skills
• Experience in AI System Development foundational model Lifecycle training, retrieval of Augmented Systems, and Model Evaluation
• Proficient in Large Language Models (LLMs) Architecture, creating targeted Instruction Datasets, and implementing Quantization and Inference Optimizations
• Capable of covering Problem Definition, Data Acquisition, and Full-cycle Deployment, utilizing tools like MLflow, Cloud Platforms like AWS, Google Cloud, Azure
• Familiarity with Proprietary Models like GPT-4 and Claude, Open-source Models like Llama and Mistral

Nice-to-haves

• Experience in AI System Development foundational model Lifecycle training, retrieval of Augmented Systems, and Model Evaluation
• Proficient in Large Language Models (LLMs) Architecture, creating targeted Instruction Datasets, and implementing Quantization and Inference Optimizations
• Knowledge in RAG, Prompt Engineering, LoRA and other GenAI techniques