Data Engineer Lead

Key Responsibilities

• Take ownership of the technical direction and execution of machine learning projects within the Data Science team;
• Mentor and support junior engineers and data scientists enabling their growth and success;
• Establish best practices for software design architecture and MLOps;
• Design and optimize end-to-end machine learning pipelines for training testing and deployment in production environments;
• Ensure seamless deployment of machine learning models and implement monitoring solutions to track performance accuracy and drift over time;
• Collaborate with data scientists to transition experimental models to production-grade solutions;
• Work closely with other software / data engineers and product teams to ensure effective delivery of machine learning products;
• Collaborate with other teams and gather requirements to solve complex customer problems with machine learning;
• Maintain and scale machine learning infrastructure using GCP;
• Implement robust security measures to protect data privacy;
• Create and maintain APIs or other interfaces to deliver machine learning results to internal teams and Metros customers;
• Evaluate emerging machine learning technologies frameworks and trends and introduce improvements to existing workflows.

Qualifications : Education

Bachelors or Masters degree in Computer Science Software Engineering or equivalent practical experience.

Work Experience & Skills

Additional Information :

Nice-to-Have

Understanding of ethical AI bias mitigation and data privacy principles.

Remote Work : No

Employment Type : Full-time

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Experience : years

Vacancy : 1