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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: 147597501
Skills:
data engineering , Machine Learning, Natural Language Processing, Big Data Technologies, Deep Learning, Tensorflow, Gcp, Pytorch, MLops, Databricks, Azure, Python, AWS, LangChain, Prompt engineering, LLMs, LLMOps, LangGraph, R, MLFlow, Agentic flows
Skills:
snowflake , Ml, BigQuery, Redshift, Sql, Pandas, Javascript, Databricks, Python, Salesforce, Ai, prompt engineering, agent lifecycle management, Agentforce, Data Cloud, R, D360, Jupyter, cross-platform integrations, MuleSoft APIs
Skills:
Python, CI CD and Infrastructure as Code, AWS SageMaker, Model monitoring and governance tools, Amazon Bedrock
Skills:
Microservices, MLops, Python, LLM integration, AI monitoring, scalable AI architectures, ML model lifecycle, ML engineering, Cloud-native systems, Governance, API architecture, AI engineering, responsible AI
Skills:
snowflake , Sql, Databricks, Pandas, BigQuery, Python, Javascript, Redshift, CRM, MuleSoft APIs, Data, Data Cloud, Ai, Agentforce, force D360, Jupyter, R, prompt engineering, agent lifecycle management
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