G- Full Stack Machine Learning Engineer

Company Info
Anzy Global
India

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Title:

G- Full Stack Machine Learning Engineer

Job ID:

71826
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Job Description:


Basic Qualifications :

- 3+ years of experience developing full stack web applications

- Web Technologies (HTML5, CSS3, WebPack) JavaScript (ES6 +) with good hands-on core JS concepts like HOC, Arrow functions, Async/await, spread and destructuring)

- Python: Well versed with any backend frameworks, like Django / Flask / Fast API. Rich experience in object-oriented design and RESTful web services, ORM Frameworks not limited to (SQLAlchemy, Mongoengine)

- Developing full stack web application and deployment experience using containerized technologies on private cloud

- Experience using cloud technologies Azure/GCP and Micro Services Design

- Should have deployed ML models in production. Knowing data science and ML is a plus but is not mandatory for the role.

Preferred Qualifications :

- BTech / MTech in Computer Science or Electronics or equivalent experience

- 3+ years of Python development and API development experience

- Experience in Component Driven Development in Angular or ReactJS frameworks with Material or Ant design,

- Experience in developing data intensive applications, strong knowledge of design patterns, data structures and algorithms.

- Ability to take a project from scoping requirements through actual launch of the project

- 3+ years of experience in developing end to end web applications

- Agile development cycle understanding

- Experience in developing visualization components using D3.js, Nivo.rocks is a plus

- Knowledge of in Microservice design patterns and development with gRPC, Protocol buffers is added plus.

- Experience using Linux / Unix systems.

- Excellent communication skills and being able to work independently or in a full team

- Writing clean code with best practices, standards adhering to ESLint, Pylint, and perform peer code reviews.

- Thorough understanding of NoSQL databases such as Mongo DB, Redis, Elasticsearch

- Well versed with deploying on private cloud and building deployment scripts, automation of tasks, Docker containerization, basics of build and deployment pipelines.

- Experience in test automation and test-driven development with frameworks such as Jest, PyTest etc.