Sr AI Data Engineer (Remote )

Cognisol Global Solutions LLC; Pittsburgh (Allegheny County); Hybrid; Full time

Job summary

A leading company is seeking a highly skilled Sr AI Data Engineer for a remote contract role in Project Acuity. The ideal candidate will have extensive experience in AI and data engineering, focusing on developing solutions, optimizing data workflows, and mentoring junior engineers. With a commitment to timely project execution, this position demands strong technical proficiency and collaborative skills, especially in the healthcare sector.

Qualifications

• Minimum of 5 years as an AI Data Engineer or similar role.
• Proficiency in programming languages like Python, R, or Java.
• Excellent problem-solving and collaboration skills.

Responsibilities

• Design and implement solution architecture for AI use cases.
• Develop algorithms for clinical trial performance scoring.
• Ensure data integrity and compliance with regulations.

Skills

AI

Data Engineering

Machine Learning

Python

R

Java

Problem-Solving

Collaboration

Education

Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field

Tools

AWS

Azure

GCP

Hadoop

Spark

Job description

About the job Sr AI Data Engineer (Remote )

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.