Senior AI Data Engineer

Job not on LinkedIn

🕒 July 27

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

💵 $47 - $57 / hour

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

👻 Ghost score 34%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Cognisol

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

🏢 Enterprise

🔒 Cybersecurity

Enterprise • Cybersecurity

Cognisol is a technology integrator that helps organizations reimagine operating models and drive digital transformation through enterprise-grade IT services. The company offers cloud services and cloud-native strategy, custom application development, modernization, maintenance & support, Robotic Process Automation (RPA), AI/ML, Internet of Things (IoT), testing & QA, cybersecurity, and digital marketing. Cognisol serves industries such as retail, financial services, healthcare, media & entertainment, travel & tourism, and manufacturing, focusing on improving competitiveness, optimizing costs, and enhancing customer and stakeholder experiences.

📋 Description

• 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.

🎯 Requirements

• 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.