AI Engineer
New Jersey
$180k
About the job
Our client is a global organization that is chartered to drive value on high impact enterprise AI problems, democratize AI through the enterprise ML platform, accelerate the adoption of Generative Artificial Intelligence (Gen AI) and drive Responsible AI. As an AI/ML Engineer, you will be responsible for the development and execution of the vision for enabling the design and deployment of high impact enterprise AI problems. You will establish guidance on how to develop, execute, and deploy AI models in compliance with enterprise standards. As a subject matter expert, you will work closely with other engineering teams and leaders to drive the adoption of quality and efficiency standards.
Primary Responsibilities:
- Develop and execute the vision for engineering platforms, and reusable code that will be used by thousands of other engineers for automation and improved efficiency of AI/ML development
- Stay up to date with latest technologies and literature recommending solutions to improve business goals
- Evangelize the benefits of the AI models and platforms built in our team to drive adoption for employees and functional roles across the enterprise including technology, operations, marketing, legal, compliance, people team, internal infrastructure, and more
- Mentor data scientists, AI/ML scientists, and other engineers to ensure the delivery of the AI/ML projects, and provide guidance on how to best use specific tools or technologies to achieve the desired results
- Collaborate with cross-functional teams to determine applicability of AI to business problems
- Create and manage best practices for ML models integration, orchestration, and deployment, that will ensure secure, consistent, and efficient use of resources across the enterprise, including data versioning, ingress and model output egress, CI/CD pipelines for MLOps and DevOps functions
- Automate the provisioning and configuration of infrastructure resources
- Create documentation for infrastructure design and deployment procedures
Required Qualifications:
- Bachelor’s degree in computer science, Math, Statistics, or a related STEM field with equivalent experience (Either 10+ years of experience in a technical engineering role, or a PhD in Computer Science or a related field and 5+ years engineering role)
- 3+ years of experience focused on AI/ML solutions delivery
- Demonstrated experience leading and implementing AI/ML projects from ideation to delivery, evaluation, and maintenance in production
- Proven experience in Python and one of PySpark or Scala, including demonstrable proficiency of AI/ML frameworks and tools (e.g., MLFlow, TensorFLow, PyTorch)
- Experience developing and deploying data pipelines, machine learning models, or applications on cloud platforms (e.g., Azure, AWS, Databricks, AzureML)
- Demonstrated experience in Gen AI solution pipeline engineering, (e.g., RAG) and Large Language Modeling and Transformer Architectures (e.g., BERT, GPT, etc.)
- Proven presentation experience with the ability to explain complex AI/ML concept and results to technical and non-technical audiences
APPLY NOW or contact Elin@developrec.net for more information.