Job Description

Requirement gathering, coding, testing, CI automation and production deployment. Should have extensive experience in algorithms and statistics and expertise in natural language processing, machine learning, deep learning, and data mining. Demonstrate deep knowledge and ability to operationalize and integrating leading machine learning and data technologies implementing best practices. Should have extensive experience with web technologies and building full-stack web applications. Developing and promoting machine learning models for tasks, as well as building and training working versions of those models using Python. Design, implement, and integrate applications with internal and third-party API services. 7+ years experiences on relevant field below (Internship, prototype, and personal projects do not count) Coding is required. (Ideally Python or Java) Own end to end lifecycle (From development to deployment to production environment) Experience in building or deploying solution in the cloud. Either Cloud Native (Serverless): S3, Lambda, AWS Batch, ECS Or Cloud Agnostic: Kubernetes, Helm Chart, ArgoCD, Prometeus, Grafana. CICD experience: Github action or Jenkin. Infrastructure as code: e.g., Terraform And experience in at least one of this focus area: - Big Data: Building Big data pipeline or Platform to process petabytes of data: (PySpark, Hudi, Data Lineage, AWS Glue, AWS EMR, Kafka, Schema Registry) -Or GraphDB: Ingesting and consuming data in Graph Database such as Neo4J, AWS Neptune, JanusGraph or DGraph Our Culture: We have an autonomous and empowered work culture encouraging individuals to take ownership and grow quickly. Flat hierarchy with fast decision making and a startup-oriented get things done culture. A strong, fun & positive environment with regular celebrations of our success. We pride ourselves in creating an inclusive, diverse & authentic environment.