Job responsibilities
- Design Enterprise Machine Learning platforms that are capable of running predictive models
- Provides Technical Leadership, guidance and direction to other team members
- Writes secure and high-quality code using the syntax of at least one programming language with python, Java
- Establish standards, guidance and best practices for the technical aspects in the team
- Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
- Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
- Leverages Cloud services to build ML pipeline to implement, deploy and produce Machine Learning Models
- Work with Business stakeholders and Product Owners to understand requirements.
- Work with Site Reliability Engineer for any infrastructure/production changes.
- Ingests data from multiple sources
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience.
- Hands-on practical experience in system design, application development, testing, and operational stability.
- Attitude to learn new technologies. Passionate about building an innovative culture
- Experience in programming languages such as Python/Java.
- Understands/learn the basic architecture of Cloud services and usage.
- Background with Machine Learning Frameworks and Big Data technologies such as Hadoop, Hive.
- Experience working with databases such as Oracle or Cassandra.
- Exposure to Agile and scrum methodologies.
- Familiarity with CI/CD, Application Resiliency, and Security.
- Emerging knowledge of software applications and technical processes within any technical discipline such as cloud, artificial intelligence, machine learning, Data analytics.
Preferred qualifications, capabilities, and skills
- Knowledge of any of the technologies like Big Data / Distributed computing like Spark, Kafka, Terraform, Kubernetes, AWS.
- Python Machine Learning library and ecosystem experience (Pandas and Numpy etc.)