

Sr AI Data Engineer (Remote )
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr AI Data Engineer (Remote) with a contract length of 6+ months, offering $57/hr (1099) or $47/hr (W2). Requires 5+ years in AI data engineering, proficiency in Python/R/Java, and healthcare industry experience.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
456
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ποΈ - Date discovered
June 12, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Remote
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π - Contract type
1099 Contractor
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#Data Processing #Scala #AI (Artificial Intelligence) #Java #Leadership #Data Integrity #AWS (Amazon Web Services) #R #GCP (Google Cloud Platform) #Cloud #Computer Science #Security #ML (Machine Learning) #Data Science #Azure #Compliance #NLP (Natural Language Processing) #Programming #Data Engineering #Big Data #Spark (Apache Spark) #Python #Hadoop
Role description
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Title: Sr AI Data Engineer
Location: Pittsburgh, PA (Remote)
Duration : 6+ Months
1099 Rate : $57/Hr
W2 Rate : $47/ Hr
Job Description
We are seeking a highly skilled AI Data Engineer to join our team for Project Acuity.
The ideal candidate will have a strong background in AI and data engineering, with the ability to provide solution architecture for AI use cases. This is a contract position with strict timelines, and we are looking for someone who can join the project immediately.
Key Responsibilities
Design and implement solution architecture for AI use cases in Project Acuity.
Develop algorithms to calculate scores based on previous clinical trial performance history and engagement.
Categorize medical diagnoses into body systems, medications, treatments, diagnoses, and high-level therapeutic areas.
Collaborate with cross-functional teams to ensure seamless integration of AI solutions.
Ensure data integrity, security, and compliance with relevant regulations.
Optimize data processing workflows for efficiency and scalability.
Provide technical leadership and mentorship to junior team members.
Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
Minimum of 5 years of experience as an AI Data Engineer or similar role.
Strong knowledge of AI, machine learning, and data engineering principles.
Proficiency in programming languages such as Python, R, or Java.
Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Hadoop, Spark).
Familiarity with healthcare data standards and regulations (e.g., HIPAA).
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Preferred Qualifications
Experience in the healthcare or clinical trials industry.
Knowledge of natural language processing (NLP) techniques.
Certification in AI or data engineering.
Skills: r,spark,java,ai data engineer,azure,hadoop,nlp,solution architecture,python,data engineering,gcp,ai,machine learning,aws