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 settings like Hadoop, GCP/AWS/Azure Cloud.
Well versed with various Data Integration, and ETL technologies on Cloud like Spark, Pyspark/Scala, Dataflow, DataProc, EMR, etc. on various Cloud.
Experience of having worked with traditional ETL tools like Informatica / DataStage / OWB / Talend , etc.
Deep knowledge of one or more Cloud and On-Premise Databases like Cloud SQL, Cloud Spanner, Big Table, RDS, Aurora, DynamoDB, Oracle, Teradata, MySQL, DB2, SQL Server, etc.
Exposure to any of the No-SQL databases like Mongo dB, CouchDB, Cassandra, Graph dB, 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 creative solutions.
Drive research activities to explore recent 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
Con

📌 Pa Ml Professionals Mumbai
🏢 Quantiphi Analytics Solutions
📍 Mumbai