Pa - Ml

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you
- you would enjoy your career with Quantiphi

Role: Principal 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, 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.-
- 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
- If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us_
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