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The main responsibilities include:
• Design end-to-end AI platform/solutions, from data ingestion to model deployment and monitoring.
• Translate business problems into scalable AI architecture and technical specifications.
• Collaborate with various stakeholders that include data scientists, engineers, product managers and business stakeholders in realizing AI technology.
• Ensure AI solutions meet performance, scalability and reliability requirements.
• Incorporate security, governance, and compliance into AI system design.
• Provide architecture, solution and project support related to AI realization.
• Establish and maintain the AI security guardrail baseline
Required qualifications:
• Bachelor's or Master's degree in Computer Science, AI data science, AI or related field.
• 5+ years of experience in software architecture, data engineering and AI/ML system design & implementation.
• Strong understanding of machine learning, deep learning and data engineering concepts.
• Experience and knowledge of cloud platforms (Azure, AWS, GCP) and AI services.
• Proficiency in programming languages such as Python, Java and Scala.
• Knowledge of APIs, microservices architecture and distributed systems.
• Strong problem-solving skills and communication skills.
Job ID: 150860093
Skills:
telemetry , Data Security, Metadata Management, Data Modelling, Data Architecture, Data Warehousing, Schema Design, Iot, Data Governance, enterprise data platforms, system logs, data quality frameworks, data lake architecture, modern data architectures, semantic data models, access controls, multimedia data, large-scale data engineering
Skills:
Sql, Data Modeling, Data Governance, Python, Data pipelines, Cloud-based data platforms, AI ML concepts, Quality Management, Model lifecycle
Skills:
Data Architecture, Sql, ELT, MLops, Data Governance, Python, AWS, Etl, machine learning infrastructure, Enterprise Data Warehouse, data platforms, cloud-based data ecosystems, lakehouse environments, compliance frameworks, data processing frameworks, real-time data processing, data pipeline orchestration, large-scale data engineering
Skills:
Apache Spark, Data Warehousing, Sql, Python, Data security and compliance frameworks, Data modeling and design, Informatica IDMC, Databricks Lakehouse Architectures, Healthcare data standards HL7 FHIR
Skills:
data engineering , Schema Design, ELT, Neo4j, Cloud Storage, Python, Etl, embedding pipelines, RAG architecture, vector databases, Cypher querying, retrieval patterns, Data Validation
