

DPP Tech
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with 5+ years in ML and backend software engineering, focusing on recommendation systems. It offers a remote contract with a pay rate of "X" for proficiency in Python, Java, and ML pipeline tools.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
December 6, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Airflow #NoSQL #Python #Microservices #MLflow #REST (Representational State Transfer) #Programming #SQL (Structured Query Language) #AI (Artificial Intelligence) #Datasets #ML (Machine Learning) #Databases #Java
Role description
We are hiring a Software engineer with experience in ML/AI for a retail client. This will be a remote opportunity.
Skill Requirements:
- Proficiency in at least one backend programming language (e.g., Go, Java) and Python
- Deep understanding of recommendation algorithms, user modeling, embeddings, and similarity search
- ML pipeline tools (e.g., MLflow, Kubeflow, Airflow)
- Familiarity with serving architectures (e.g., REST/gRPC APIs, model servers)
- Strong grasp of distributed systems, microservices, and system design
- SQL and NoSQL databases and working with large-scale datasets
Experience Requirements:
- 5+ years of experience in machine learning and backend software engineering
- Strong experience building recommendation systems in a real-world production setting
- Experience with ML pipeline tools (e.g., MLflow, Kubeflow, Airflow)
If you are interested please share your resume contact details to discuss further.
We are hiring a Software engineer with experience in ML/AI for a retail client. This will be a remote opportunity.
Skill Requirements:
- Proficiency in at least one backend programming language (e.g., Go, Java) and Python
- Deep understanding of recommendation algorithms, user modeling, embeddings, and similarity search
- ML pipeline tools (e.g., MLflow, Kubeflow, Airflow)
- Familiarity with serving architectures (e.g., REST/gRPC APIs, model servers)
- Strong grasp of distributed systems, microservices, and system design
- SQL and NoSQL databases and working with large-scale datasets
Experience Requirements:
- 5+ years of experience in machine learning and backend software engineering
- Strong experience building recommendation systems in a real-world production setting
- Experience with ML pipeline tools (e.g., MLflow, Kubeflow, Airflow)
If you are interested please share your resume contact details to discuss further.




