ML Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an ML Engineer in Philadelphia, PA, offering a contract length of unspecified duration at a competitive pay rate. Requires 4 years of experience in Machine Learning, NLP, and data engineering, with proficiency in Python, R, and AI platforms.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 29, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Philadelphia, PA
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #NLTK (Natural Language Toolkit) #Streamlit #Apache Hive #HDFS (Hadoop Distributed File System) #Matplotlib #Programming #NLP (Natural Language Processing) #AI (Artificial Intelligence) #Hadoop #Deep Learning #R #NLU (Natural Language Understanding) #Consulting #Keras #SpaCy #Datasets #Impala #Spark (Apache Spark) #NumPy #Python #Plotly #ML (Machine Learning) #Flask #PySpark #Cloud #Pandas #Big Data #SQL (Structured Query Language) #Data Engineering
Role description
Job Summary We’re looking for a ML Engineer to support our team in Philadelphia, PA. This role offers the opportunity to work on meaningful projects, collaborate with talented colleagues, and contribute to the success of a growing company. If you’re someone who takes initiative, values continuous learning, and thrives in a collaborative setting, we’d love to hear from you. Key Responsibilities 4 years of experience in Machine Learning, NLP, NLU, Deep Learning, building ML pipelines and data engineering AI Platforms: DataRobot, Snorkel AI, IBM Watson Frameworks: Hadoop, PySpark, Apache Hive, Apache Impala, HDFS Programming Languages: Python, R, SQL Analytics: SparkML, Numpy, Pandas, Scikit-Learn, NLTK, Spacy, keras, plotly, matplotlib App/Web Frameworks: Flask, Streamlit, ShinyApp Design machine learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results About CLPS CLPS Incorporation (NASDAQ: CLPS) is a global technology and consulting firm specializing in end-to-end digital transformation solutions. Since our founding in 2005, we’ve expanded our footprint across 10 countries, with regional hubs in China, Singapore, and the United States, and our headquarters in Hong Kong. Leveraging advanced technologies such as AI, cloud computing, and big data, we deliver innovative services across key sectors including fintech, payments, e-commerce, education, and travel tech. Our mission is to empower businesses to become intelligent, data-driven enterprises. Join CLPS and be part of an innovative, fast-growing team shaping the future of technology across industries.