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- Bachelor’s or Master’s Degree in a technology related field (e.g. Engineering, Computer Science, etc.)
- 8+ years of proven experience in implementing Big data solutions in data analytics space
- 2+ years of experience in developing ML infrastructure and MLOps in the Cloud using AWS Sagemaker
- Extensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement required
- Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages and exposure to some of Python’s ML ecosystem (numpy, panda, sklearn, tensorflow, etc.)
- Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks
- Data movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (DynamoDB, EKS, Graph database), API and in-memory technologies
- Strong knowledge of developing highly scalable distributed systems using Open-source technologies
- Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent)
- Solid experience in Agile methodologies (Kanban and SCRUM)
- Strong technical design and analysis skills
- Ability to deal with ambiguity and work in fast paced environment
- Experience supporting critical applications
- Familiarity with applied data science methods, feature engineering and machine learning algorithms
- Data wrangling experience with structured, semi-structured and unstructured data
- Experience building ML infrastructure, with an eye towards software engineering
- Excellent communication skills, both through written and verbal channels
- Excellent collaboration skills to work with multiple teams in the organization
- Ability to understand and adapt to changing business priorities and technology advancements in Big data and Data Science ecosystem