

Machine Learning Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with a long-term contract in Philadelphia, PA. Pay rate is unspecified. Key skills include Python, Scikit-learn, PySpark, and model deployment. Experience with cloud platforms is a plus.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
August 9, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
On-site
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
Philadelphia, PA
-
π§ - Skills detailed
#Data Engineering #Datasets #Libraries #Deployment #AWS (Amazon Web Services) #Scala #Distributed Computing #Spark (Apache Spark) #Python #GCP (Google Cloud Platform) #ML Ops (Machine Learning Operations) #ML (Machine Learning) #Azure #PySpark #TensorFlow #Model Deployment #Cloud #Data Science
Role description
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
Immediate need for a talented Machine Learning Engineer. This is a Long Term Contract opportunity and is in Philadelphia, PA. Please review the job description below and apply ASAP if you are interested.
Key Responsibilities:
β’ Design, build, and maintain scalable predictive models using Scikit-learn.
β’ Collaborate with data scientists, engineers, and stakeholders to understand requirements and translate them into ML solutions.
β’ Work with large datasets using PySpark and other distributed computing tools.
β’ Deploy, monitor, and iterate on machine learning models in production.
β’ Ensure model performance, accuracy, and reliability through testing and validation.
β’ Write clean, modular, and well-documented Python code.
β’ Stay up to date with the latest advancements in machine learning and data engineering
Nice to Have:
β’ Experience with cloud platforms (e.g., AWS, GCP, Azure).
β’ Exposure to ML Ops or model deployment tools.
β’ Familiarity with other ML libraries (e.g., XGBoost, LightGBM, TensorFlow).