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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:
Sql, Data Modeling, Data Governance, Python, Data pipelines, Cloud-based data platforms, AI ML concepts, Quality Management, Model lifecycle
Skills:
Advanced Analytics, Machine Learning, Data Warehousing, ELT, Clustering, Etl, Statistical Analysis, Visualization, data pipelines, recommendation, Data Collection, Classification, feature generation, Regression
Skills:
Sql, Data Governance, Python, Metadata Management, data quality management, time-series data modeling, OPC UA, messaging technologies
Skills:
snowflake , Spark, Sql, Databricks, Azure Data Factory, Hadoop, AWS, Python, Azure, Docker, Gcp, Terraform, Git, Denodo, Airflow
Skills:
data engineering , snowflake , Python, Sql, AWS, Data Architecture, data pipelines
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