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# Machine Learning Engineer

- **Company:** CareerCircle
- **Location:** Jersey City, NJ, United States (Remote available)
- **Experience:** Expert
- **Salary:** $111,240.0 - $222,480.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Big Data, BigQuery, Cloud Engineering, Software Quality, Continuous Integration, Data Cleansing, Information Engineering, Data Warehousing, JavaScript Libraries, Python (Programming Language), Knowledge Management, Machine Learning, Automation of Marketing, Node.Js, Program Analysis, Recommender Systems, Tensorflow, Software Systems, SQL Databases, Management of Software Versions, Reinforcement Learning, Pytorch, ReactJS, Snowflake, Agentic-AI, Kubernetes, Information Technology, Machine Learning Operations, Software Version Control
- **Published:** October 9, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/ny/new-york/b8891874-195a-4b3e-a57d-bb8bae21ac43

## About the Role

BigQuery, Kubeflow
Geography
Marketing
Automation
Statistics
Compassion
TensorFlow
Agentic AI
Mathematics
Scalability
Data Science
Communication
Test Automation
Decision Making
Computer Science
Causal Inference
Machine Learning
Data Engineering
Influencing Skills
Data Preprocessing
Workflow Management
Workflow Automation
Software Versioning
Time Off Management
Technical Leadership
Marketing Operations
Loan-To-Value Ratios
Full Stack Development
Reinforcement Learning
Marketing Optimization, * 3+ years of hands-on experience developing machine learning systems in productionenvironment

 * 3+ years of Python programming experience. Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and MLOps platforms (e.g., Kubeflow, Vertex)
 * 2+ years of SQL experience working with large-scale data (e.g., Snowflake, BigQuery)
 * 2+ years of leading design and architecture of new and existing system experience
 * Strong background in one or more of the following: reinforcement learning, causal inference, Agentic architecture
 * Experience as a mentor or tech lead
 * Ability to work and influence cross-functionally with strong communication skills
 * Solid backend engineering skills in Python, including APIs and data modeling

Preferred

 * Proficiency with full-stack framework (e.g, Node.js, React)
 * Experience with distributed modeling

Education

 * Bachelor's degree in Computer Science, Engineering, Math, Statistics, or related field (or

equivalent experience)

 * Master's degree preferred, Marketing
Automation
Statistics
Compassion
TensorFlow
Agentic AI
Mathematics
Scalability
Data Science
Communication
Test Automation
Decision Making
Computer Science
Causal Inference
Machine Learning
Data Engineering
Influencing Skills
Data Preprocessing
Workflow Management
Workflow Automation
Software Versioning
Time Off Management
Technical Leadership
Marketing Operations
Loan-To-Value Ratios
Full Stack Development
Reinforcement Learning
Marketing Optimization
Artificial Intelligence
SQL (Programming Language)
Software Quality (SQA/SQC)
Snowflake (Data Warehouse)
Machine Learning Frameworks
Node.js (Javascript Library)
React.js (Javascript Library)
Python (Programming Language)

## Description

SQL (Programming Language)
Software Quality (SQA/SQC)
Snowflake (Data Warehouse)
Machine Learning Frameworks
Node.js (Javascript Library)
React.js (Javascript Library)
Python (Programming Language)
Machine Learning Infrastructure
PyTorch (Machine Learning Library)
MLOps (Machine Learning Operations)
Application Programming Interface (API), Collaborating closely with data science, data engineering, marketing, operations, and other cross-functional teams, you'll architect, develop, deploy, and operationalize ML systems that transform first-party data and measurement signals into reliable decision engines - reducing cycle times, increasing impact, and enabling closed-loop, in-flight optimization. You will also continuously improve model deployment pipelines, strengthening ML infrastructure, and integrating emerging AI technologies into real business workflows. If you are excited by hard problems, large scale of data and systems, and shipping models that actually get used, this is the job.

What You'll Do

 * Architect, design, build, and test end to end pipelines leveraging artificial intelligence, machine learning, reinforcement learning to drive Personalization and Marketing optimization and automation including customer targeting, content recommendation, frequency optimization,

propensity, uplift and LTV models etc.

 * Implement CICD for ML including automated testing, model versioning, monitoring, and

orchestration for models in production

 * Lead the design of Agentic AI solutions to marketing workflow automation, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies.
 * Collaborate with Data Science, Engineering, and business teams to turn prototypes into production-ready solutions that meet business needs and drive measurable outcomes
 * Provide technical leadership on complex projects. Mentor other engineers and data scientists

in best practices, code quality, and scalable architecture. Influence our ML and data, Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
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