Position responsibilities and expectations

 Technical Skills required

• Strong experience in could infra (AWS, Azure of GCP)

• Strong understanding of linear algebra, optimization, probability, statistics and Experience productionizing machine learning methodologies such as regression, classification, clustering, matrix factorization, predictive analytics, decision trees, support vector machines, neural networks / Deep Learning, video and image analytics

• Strong experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins)

• Proficient knowledge of git, Docker and containers, Kubernetes

• Advanced database management systems skills (particularly MySQL / PostgreSQL/ RDS/ NoSQL)

• Experience with deep learning frameworks (such as TensorFlow, Keras, and Pytorch)

• Familiarity with Terraform

• Familiarity with distributed storage and processing of big data with Hadoop and Spark

• Ability to build scalable machine learning systems spanning multiple teams or organizations

• Experience with streaming applications like Lambda and Kafka

• CloudTrail

• Strong hands-on experience in R/Python and other statistical tools (including data visualization techniques) on standalone or cloud applications