Data Engineer AI/ML

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer AI/ML on a 12-month remote contract, paying "$X" per hour. Key skills include Python, Java, machine learning, and big data technologies like Hadoop and Spark. Experience with AWS and database design is required.
🌎 - Country
United States
πŸ’± - Currency
Unknown
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 26, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Lancaster, PA
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🧠 - Skills detailed
#NLP (Natural Language Processing) #Database Design #Datasets #Spark (Apache Spark) #Data Storage #TensorFlow #Hadoop #AWS (Amazon Web Services) #Big Data #ML (Machine Learning) #Scripting #Unix #Databases #Cloud #R #SQL (Structured Query Language) #Python #Bash #Data Manipulation #Programming #AI (Artificial Intelligence) #VBA (Visual Basic for Applications) #Java #Data Engineering #Data Mining #Storage
Role description
Company Description Job Description Data Engineer AI/ML Location: Remote Contract: 12 Months W2 Contract | No Third Party Applications Accepted Job Summary We are seeking a skilled AI/ML Engineer to join our dynamic team. The ideal candidate will have a strong background in artificial intelligence and machine learning, with experience in developing algorithms and models that leverage large datasets. You will be responsible for designing, implementing, and optimising machine learning solutions to solve complex problems and enhance our product offerings. Duties Develop and implement machine learning models using frameworks such as TensorFlow and Spark. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Conduct data mining and analysis to identify trends and insights that inform decision-making. Design and maintain databases, ensuring efficient data storage and retrieval. Write clean, maintainable code in languages such as Python, Java, C, and R. Utilise cloud services like AWS for deploying machine learning applications. Implement natural language processing techniques to enhance user interaction with AI systems. Perform regular testing and validation of models to ensure accuracy and reliability. Document processes, methodologies, and results for future reference. Qualifications Qualifications Proficiency in programming languages including Python, Java, C, R, and VBA. Experience with big data technologies such as Hadoop and Spark. Strong understanding of machine learning concepts and algorithms. Familiarity with database design principles and SQL for data manipulation. Knowledge of Bash (Unix shell) for scripting tasks. Additional Information All your information will be kept confidential according to EEO guidelines.