Role purpose: The ML Engineer is a core member of the agile teams facilitating trained ML models to deliver E2E solutions as a final product that fulfill the COE automation target. The machine Learning Engineer job is to mainly develop and design machine learning pipeline / integrations using different machine learning platforms and his software engineering / cloud skills. Skills: Python (NLTK, Numpy, Panda) Experience : 4-6 Years
Having strong programming experience on Data Engineering side on Python, Scala or Java. Have worked on GCP and is hands on with data analysis, creating data pipelines and orchestration on GCP tools like Data flow, Datafusion, composer, BigQuery. Should have worked on Git or code repository. Should have worked on Agile delivery. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building or maintaining ETL processes from a wide variety of data sources using SQL. Experience building and optimizing ‘big data’ data pipelines, architectures and data sets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Able to identify data quality issues and has worked with creating framework to resolve data quality issues.
Experience in Java 5-10 Experience in SprintBoot(2+years) Good Knowledge of Microservice Concept Framework: Springboot, Spring Security, JAX-RS, Hystrix, Kafka ORM: Spring Data JPA. Hibernate Cloud Service: AWS(MSK, S3), Serverless lambda Functions Build tools: Maven, Gradle Good To Have: Spring Webflux, Web Client, ecommerce domain experience. Agile methodology "Looking for a Spring Boot API Developer who can take responsibility for a full backend stack from development to cloud production environment. Should have very good knowledge on data structure and algorithms to choose solutions wisely. Should have capability to build self resilient microservices with non-compromised response time."
Comfortable reading and writing code with a team. Optimizing on-call rotations and processes actively monitor production system and identify unknown errors Create and maintain test automation suites Work on tech debt and bug fixes Willing to work on a distributed team spanning multiple time zones. Ability to work in high-pressure situations Primary Skills Knowledge of REACT tools including React.js, Node.Js, Webpack, Enzyme, Redux, and Flux. Monitoring and improving front-end performance. Documenting application changes and developing updates. Familiarity with modern front-end build pipelines and tools
Minimum Qualification and Experience 2 - 8 years of experience in C#.net. .Net Core, Angular JS with good web application development. Mandatory Skills Should have at least 2 years of experience in C#.net web application development. Should have good experience in debugging .net web applications. Ability to demonstrate good judgment on project work in the balance of conflicting priorities. Experience in estimation. High levels of process ownership and process orientation. Desired Skills Knowledge in SQL Server and RDBMS concepts. Should have experience in Azure cloud platform. Should have at least 1 years of experience in ASP.net MVC applications. Experience in Java Script, JQuery. Experience in developing Web Services (SOAP, REST). Experience in Agile methodology.
> Code - SISoft-wd
> Education : B.Tech, MCA, BCA
> Experience: 0-1 years
> Code - SISoft-se > Skill: Digital Marketing, Good communication, Willing to meet and talk people > Education : BBA, BCA > Experience: 0-1 years