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Sr AI Data Engineer (Remote )

Key Facts

Remote From: 
Category:  Data Engineer
Freelance
Senior (5-10 years)
English

Other Skills

  • •
    Problem Solving
  • •
    Communication
  • •
    Collaboration

Roles & Responsibilities

  • 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.

Requirements:

  • 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.

Job description

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.

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