Datascientist-AI

TE-4 Years and above

NP- Immediate-15 days

Key Responsibilities

• Design, develop, and maintain scalable and high-performance backend services and APIs.
• Build microservices-based architecture using modern frameworks and best engineering practices.
• Develop and integrate RESTful APIs and GraphQL services.
• Work on AI/LLM integrations using OpenAI, Hugging Face, LangChain, and similar frameworks.
• Collaborate with frontend teams to ensure seamless integration with UI frameworks such as React and Angular.
• Design and optimize database schemas across relational and NoSQL databases.
• Implement secure authentication and authorization mechanisms.
• Build, deploy, and maintain containerized applications using modern DevOps practices.
• Ensure application performance, scalability, reliability, and security.
• Write automated unit, integration, and end-to-end tests.
• Participate in code reviews and maintain coding standards.
• Work closely with product managers, architects, and stakeholders to deliver business requirements.
• Contribute to CI/CD pipelines and automation processes.
  
  

Programming Languages

• Java
• Node.js
• Go (Golang)
• JavaScript
  
  

Frameworks & Backend Technologies

• Spring Boot
• Microservices Architecture
• REST API Development
• GraphQL
  
  

Databases

• MySQL
• PostgreSQL
• MongoDB
• SQL Databases
• Vector Databases
  
  

API & Integration Tools

• Swagger / OpenAPI
• Postman
  
  

Frontend Integration (Good to Have)

• React
• Angular
• HTML / CSS / JavaScript
  
  

DevOps & Cloud Native

• Docker
• Kubernetes
• Jenkins
• GitHub Actions
• CI/CD Pipeline Implementation
  
  

Security

• JWT
• OAuth2
• SSL/TLS
• HTTPS
  
  

Testing Frameworks

• JUnit
• Mocha
• Selenium
• Postman Testing
  
  

AI / Generative AI (Preferred)

• OpenAI GPT Models
• Hugging Face Transformers
• LangChain
• GitHub Copilot
• Cline or similar AI coding assistants
  
  

Responsibilities

Key Responsibilities

• Design, develop, and maintain scalable and high-performance backend services and APIs.
• Build microservices-based architecture using modern frameworks and best engineering practices.
• Develop and integrate RESTful APIs and GraphQL services.
• Work on AI/LLM integrations using OpenAI, Hugging Face, LangChain, and similar frameworks.
• Collaborate with frontend teams to ensure seamless integration with UI frameworks such as React and Angular.
• Design and optimize database schemas across relational and NoSQL databases.
• Implement secure authentication and authorization mechanisms.
• Build, deploy, and maintain containerized applications using modern DevOps practices.
• Ensure application performance, scalability, reliability, and security.
• Write automated unit, integration, and end-to-end tests.
• Participate in code reviews and maintain coding standards.
• Work closely with product managers, architects, and stakeholders to deliver business requirements.
• Contribute to CI/CD pipelines and automation processes.
  
  

Requirements

Java, Node.js, Go, JavaScript (Node.js)

Spring Boot

MySQL, SQL, PostgreSQL, MongoDB, Vector DB

Swagger/OpenAPI, Postman, GraphQL

Docker, Kubernetes, Jenkins, GitHub Actions

JWT, OAuth2, SSL/TLS, HTTPS

React, Angular, HTML/CSS/JS (for integration purposes)

JUnit, Mocha, Selenium, Postman

OpenAI GPT, Hugging Face Transformers, LangChain, , GitHub Copilot, Cline

Git, GitHub, Bitbucket

Jira

Swagger

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office
  
  

About Us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.