MS Dynamics 365 Solution Architect

Skills

Develop and Implement AI Solutions: Lead the development of cutting-edge LLM and Generative AI products using technologies such as LangChain Pinecone Kubernetes AWS Azure and Databricks. Data Migration Leadership: Strategize and execute data migration from Teradata to Snowflake ensuring seamless ETL design RBAC transition procedure migration and performance optimization with zero downtime. Cross-Functional Collaboration: Develop the organization's AI strategy manage data governance and compliance and foster cross-functional collaboration to drive innovation. Team Building and Leadership: Proactively mitigate risks contribute to team building efforts and drive the overall technical vision in a dynamic environment. Innovation and Research: Conduct extensive research and fine-tune AI models to enhance their precision and effectiveness for industry-specific applications. Required Skills and Qualifications: Educational Background: Master’s degree in Computer Science or related field. Bachelor's degree in Computer Science from a reputable institution. Professional Experience: Over 12 years of experience in Cloud computing ML GenAI Big Data and Hadoop with a significant track record in delivering enterprise solutions.

Description

We are seeking a highly skilled and experienced Solution Architect to join our dynamic team. The ideal candidate will have a proven track record in developing and implementing advanced AI and Big Data solutions, with a strong focus on cloud platforms and distributed systems. This role involves leading cross-functional teams, driving data migration projects, and fostering innovation within the organization.

Responsibilities

• Languages: Python, Java, Scala, Bash, JavaScript, SQL
• Cloud Platforms: AWS & Azure (IaaS, PaaS & Serverless)
• Cloud Technologies: Lambda, Functions, EKS, AKS, ECS, EMR, Sagemaker, API Gateway, Sagemaker, Apigee
• Big Data and Distributed Platforms: Databricks, Snowflake, Cloudera Hadoop
• AI & ML: LangChain, PineCone, ChromaDB, HuggingFace, MLFlow
• Database Technologies: DynamoDB, DocumentDB, RDS, CosmosDB, MongoDB, HBase, SQL Server, Teradata
• Application Management: Azure DevOps, GIT, BitBucket, Jenkins, Jira
• Leadership Skills: Proven ability to lead and manage large-scale data migration projects, develop AI strategies, and foster cross-functional collaboration.
• Innovative Mindset: Demonstrated ability to drive innovation, conduct research, and fine-tune AI models for industry-specific applications.
• Preferred Skills:
• Certifications in Cloudera, Databricks, or similar technologies.
• Experience with serverless, event-driven, elastic, and transient technologies.
• Background in developing and managing unstructured data platforms and ML pipelines.