
11 - 50 employees
Founded 2020
π’ Enterprise
π Cybersecurity
Enterprise β’ 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.
π₯ 36 minutes ago
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11 - 50 employees
Founded 2020
π’ Enterprise
π Cybersecurity
Enterprise β’ 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.
β’ Design and implement solution architecture for AI use cases in Project Acuity. β’ Develop algorithms to calculate scores based on previous clinical trial performance history and engagement. β’ Categorize medical diagnoses into body systems, medications, treatments, diagnoses, and high-level therapeutic areas. β’ Collaborate with cross-functional teams to ensure seamless integration of AI solutions. β’ Ensure data integrity, security, and compliance with relevant regulations. β’ Optimize data processing workflows for efficiency and scalability. β’ Provide technical leadership and mentorship to junior team members.
β’ Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field. β’ Minimum of 5 years of experience as an AI Data Engineer or similar role. β’ Strong knowledge of AI, machine learning, and data engineering principles. β’ Proficiency in programming languages such as Python, R, or Java. β’ Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Hadoop, Spark). β’ Familiarity with healthcare data standards and regulations (e.g., HIPAA). β’ Excellent problem-solving skills and attention to detail. β’ Strong communication and collaboration skills.
Apply Nowπ₯ 44 minutes ago
Data Engineer designing and maintaining scalable data pipelines that inform analytics. Collaborating with analytics and BI teams to ensure data quality and performance.
π₯ 44 minutes ago
Lead Data Architect responsible for defining and evolving enterprise data architecture remotely. Collaborate with engineering, analytics, and security stakeholders for robust data solutions.
π Yesterday
Data Lead Architect providing expertise in data management systems for healthcare data. Leading a team to design and implement scalable data architectures, ensuring compliance with regulatory standards.
π 4 days ago
Data Replication Engineer managing Stelo/StarQuest replication tools for diverse source and target systems. Responsible for designing, maintaining, and optimizing data replication pipelines across systems.
π 5 days ago
Data Center Migration Project Manager leading a multi-year effort to relocate technology systems for South Dakota public agencies. Overseeing migration lifecycle and ensuring operational readiness.