Chief AI/ML Systems Architect

6 days ago


New York, New York, United States Aegistech Full time

Aegistech is seeking an experienced Chief AI/ML Systems Architect to lead our ML team within the Data Science group. As a key member of our team, you will contribute to the deployment, monitoring, and management of machine learning models and data pipelines.

This role requires strong expertise in implementing machine learning engineering operations, ensuring seamless deployment, monitoring, and management of our machine learning models and data pipelines.

As a senior engineer, you will collaborate with a peer group of ML engineers to develop ML modules and end-to-end engineering solutions. You will also work closely with cross-functional teams to integrate machine learning models into production systems.

The ideal candidate will have extensive experience in architecting, developing, and managing machine learning model development and deployment lifecycle to launch GenAI and ML services end to end.

You will be responsible for creating and managing documentation and knowledge base, including development best practices, MLOps/LLMOps processes and procedures. Additionally, you will fine-tune and optimize models to enhance performance, adapt to new data, or meet specific use case requirements.

To succeed in this role, you should have a deep understanding of distributed systems programming, AI/ML solutions architecture, Microservices architecture experience, and proficiency in languages such as Python and Scala.

You will also have experience working with containerization, Kubernetes, cloud platforms, CI/CD, and workflow orchestration tools. A Bachelor's degree in Computer Science, Engineering, or a related field is required, along with 8+ years of progressive experience as a data analytics, machine learning engineer, or similar roles.

We estimate the salary range for this position to be between $180,000 and $250,000 per year, based on industry standards and market trends.

At Aegistech, we offer competitive benefits, including health insurance, retirement plans, and paid time off. If you are passionate about AI/ML and want to make a meaningful impact, please submit your application for consideration.


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