Description

You will lead the architectural design and implementation of end-to-end AI/ML workloads from POC to production.

Responsibilities

• Architect, design, and implement scalable end-to-end ML implementations and data warehouse solutions.
• Provide technical expertise and guidance to Technical Architects and ML engineers on AI/ML methodologies.
• Drive research activities to explore new AI/ML technologies, techniques, and processes.
• Collaborate with cross-functional teams, sales, pre-sales, and business stakeholders to align AI/ML integration with business goals.
• Establish rigorous testing, validation, and monitoring processes to ensure the performance and reliability of models and algorithms.

Required Skills

• 15+ years of experience in analytics, solutioning, and technical roles.
• 5+ years of experience delivering ML/AI workloads on GCP, AWS, or Azure.
• Experience with distributed computing and enterprise environments like Hadoop.
• Proficiency with data integration and ETL technologies including Spark, PySpark, or Scala.
• Hands-on experience with Cloud SQL, Cloud Spanner, Big Table, RDS, Aurora, DynamoDB, Oracle, or Teradata.
• Experience designing scalable data warehouse solutions on BigQuery or Redshift.
• Knowledge of traditional ETL tools such as Informatica, DataStage, OWB, or Talend.
• Exposure to No-SQL databases like MongoDB, CouchDB, Cassandra, or Graph DB.
• Ability to contribute to AI/ML strategy and long-term roadmaps.

Key Skills

Education

Any Garduate