Senior architect

1 month ago

Mumbai, India Quantiphi Full time
Role: Senior Architect -AI/ML
Experience in Years : 14-20
Work location: Mumbai/ Bangalore (Hybrid)
Responsibilities:
More than 15 years of experience in analytics, solutioning, and technical roles.
5+ years of experience in building, delivery ML/AI workloads on Cloud (GCP/AWS/Azure) (For an Engineering Leader it should be at least 8+ years in AI-ML)
Experience in architecting, designing, and implementing end to end ML implementation, POC to production
Experience of having worked in distributed computing and enterprise environments like Hadoop, GCP/AWS/Azure Cloud.
Well versed with various Data Integration, and ETL technologies on Cloud like Spark, Pyspark/Scala, Dataflow, Data Proc, EMR, etc. on various Cloud.
Experience of having worked with traditional ETL tools like Informatica/Data Stage/OWB/Talend, etc.
Deep knowledge of one or more Cloud and On-Premise Databases like Cloud SQL, Cloud Spanner, Big Table, RDS, Aurora, Dynamo DB, Oracle, Teradata, My SQL, DB2, SQL Server, etc.
Exposure to any of the No-SQL databases like Mongo d B, Couch DB, Cassandra, Graph d B, etc.
Experience in architecting and designing scalable data warehouse solutions on cloud on Big Query or Redshift
Provide technical expertise and guidance in AI/ML technologies and methodologies to the Technical Architects and ML engineers.
Need to stay up to date with the latest advancements in the field of AI-ML , Data Science and Data Analytics and also guide the team in applying best practices and innovative solutions.
Drive research activities to explore new AI/ML technologies, techniques and processes.
Should be able to collaborate with cross-functional teams, sales and pre-sales team, and business stakeholders, to understand requirements, align priorities, and drive the integration of AI/ML solutions into services
Ensure the quality and performance of AI/ML models, systems, and algorithms.
Establish rigorous testing and validation processes to deliver reliable and scalable solutions.
Should be able to monitor and optimize performance metrics to drive continuous improvement
Contribute to the development of AI/ML strategy and roadmaps aligned with business goals.
Foster a culture of continuous learning and development within the team

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