AIML Engineer
1 week ago
- Role & responsibilities
- Drive the vision for modern data and analytics platform to deliver well architected and engineered data and analytics products leveraging cloud tech stack and third-party products
- Close the gap between ML research and production to create ground-breaking new products, features and solve problems for our customers
- Design, develop, test, and deploy data pipelines, machine learning infrastructure and client-facing products and services
- Build and implement machine learning models and prototype solutions for proof-of-concept
- Scale existing ML models into production on a variety of cloud platforms
- Analyze and resolve architectural problems, working closely with engineering, data science and operations teams
Preferred candidate profile
Minimum Qualifications / Skills
- Bachelor's degree in computer science engineering, information technology or BSc in Computer Science, Mathematics or similar field
- Masters degree is a plus
- Integration APIs, micro-services and ETL/ELT patterns
- DevOps (Good to have) Ansible, Jenkins, ELK
- Containerization Docker, Kubernetes etc
- Orchestration – Airflow, Step Functions, Ctrl M etc
- Languages and scripting: Python, Scala Java etc
- Cloud Services - AWS, GCP, Azure and Cloud Native
- Analytics and ML tooling – Sagemaker, ML Studio
- Execution Paradigm – low latency/Streaming, batch
Preferred Qualifications/ Skills
- Data platforms – Big Data (Hadoop, Spark, Hive, Kafka etc.) and Data Warehouse (Teradata, Redshift, BigQuery, Snowflake etc.)
- Visualization Tools - PowerBI, Tableau
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