- 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, 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 innovative 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
- 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

Skills: Postgres, Sql, Linux, Oracle, Aws, Python

Experience: 15.00-17.00 Years

📌 PA - ML professionals (Mumbai)
🏢 Quantiphi Analytics Solutions
📍 Mumbai