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Apolis
22 Apolis Jobs
Data Architect (12-20 yrs)
Apolis
posted 1mon ago
Fixed timing
Key skills for the job
Job Description :
To effectively evaluate resumes for the role of "Data/AI Architect", focus on the following core technical skills and experiences. This list includes detailed skills and knowledge areas relevant to the job description provided:
Core Technical Skills :
1. AI System Design and Development :
- Expertise in deep learning frameworks such as TensorFlow and PyTorch.
- Experience with neural network architectures including CNNs and RNNs.
- Ability to evaluate and optimize AI architectures for performance, scalability, and efficiency.
2. Data Platform Architecture :
- Proficiency in Snowflake architecture and cloud services (Azure, Google Cloud Platform).
- Experience designing and implementing scalable, high-performance data monetization platforms.
- Strong knowledge of developing and maintaining cloud-based architectures.
- Experience with Data Policies, Data Monetization SaaS & APIs, and handling Bigdata (Peta Bytes).
3. MLOps and Automation :
- Experience establishing end-to-end MLOps pipelines.
- Familiarity with automation tools for model validation, deployment, and maintenance.
- Proficiency with ELT solutions and tools such as Docker, Kubernetes, and Jenkins.
4. Data Integration and Management :
- Experience with real-time data processing pipelines (Kafka, Airflow, DBT, Snow Pipe, and Snowflake Streams).
- Expertise in integrating, metering, and distributing data from various sources.
- Skills in efficient data pipelining and management of large datasets (Peta Bytes).
5. Security and Compliance :
- Knowledge of data security practices and compliance with industry regulations (HIPAA).
- Experience implementing robust security measures and data access controls.
- Ability to deploy and configure tools for monitoring and reporting on operational efficiencies.
6. Collaboration and Leadership :
- Proven ability to work closely with data scientists, software engineers, and stakeholders.
- Leadership skills in guiding cross-functional teams and providing strategic guidance.
- Experience translating business needs into technical solutions.
7. Research and Innovation :
- Keeping abreast of emerging technologies and industry trends.
- Experience with comprehensive audits of AI tools and practices.
- Background in experimenting with new tools and frameworks to enhance AI and data solutions.
Preferred Skills and Experience :
8. Healthcare Domain Expertise :
- Strong understanding of healthcare domain challenges, terminology, and regulations (HL7, HIPAA, FHIR).
- Experience working with electronic health records (EHRs) and healthcare data.
9. Certifications and Recognitions :
- Relevant certifications in AI, deep learning, MLOps, and Snowflake.
- Research contributions such as publications, patents, or significant AI projects in healthcare.
10. Leadership and Mentorship :
- Leadership skills with the ability to mentor teams.
- Experience driving AI adoption across the organization.
Functional Areas: Software/Testing/Networking
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