Senior ML Engineer: Agentic AI & Production Systems

Talentify; New York (NY); On-site; USD 157,000 - 198,000; Full time

Job summary

Optimum seeks an experienced Machine Learning Engineer to deploy end-to-end AI solutions leveraging ML principles. You will work with stakeholders to define project components, gather data for EDA and training, and drive production-grade deployments of AI/ML solutions.

Responsibilities include designing agentic AI systems on Google Cloud, integrating tools and APIs, and ensuring scalable, observable deployments across enterprise workflows.

Qualifications

• Degree in a quantitative discipline; advanced degree or MOOC certification is a plus.
• 3–5 years in ML/AI including NLP, experiments, optimization.
• Experience with Google's CES components (Dialogflow CX, Agent Assist, Insights).
• Production experience building agentic AI systems, single/multi-agent architectures.

Responsibilities

• Consult with stakeholders to translate requirements into agentic AI solutions.
• Architect and deploy agentic AI systems on Google Cloud for enterprise workflows.
• Design and orchestrate tools, APIs, memory stores, and guardrails for agents in production.
• Lead cross-functional projects from data collection to productionalization of models.

Skills

Python

R

SQL

Google Cloud CES

Vertex AI

Agentic AI

NLP

Bayesian statistics

Education

Bachelor’s in data science or related field

Advanced degree / MOOC certification a plus

Tools

LangChain

Kubernetes

Terraform

Job description

Optimum seeks an experienced Machine Learning Engineer to deploy end-to-end AI solutions leveraging ML principles. You will work with stakeholders to define project components, gather data for EDA and training, and drive production-grade deployments of AI/ML solutions.

Responsibilities include designing agentic AI systems on Google Cloud, integrating tools and APIs, and ensuring scalable, observable deployments across enterprise workflows.