Engineers | AI/ML, Cloud, DevOps, Python | GeakMinds | Chennai

0 - 1 years

4 - 6 Lacs

Posted:6 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

About:

Engineer

1. AI/ML & NLP


Support the development of AI solutions, chatbots, and knowledge-based systems using modern NLP techniques.

Responsibilities / Requirements:

  • Basic understanding of AI/ML concepts, including NLP, Large Language Models (LLMs), RAG pipelines, and AI Agents.
  • Interest or exposure to building chatbots or conversational interfaces.
  • Strong programming fundamentals with hands-on experience in Python.
  • Good analytical thinking and willingness to work on research-oriented tasks.

2. Cloud & DevOps


Assist in deploying and managing cloud applications, automating builds, and supporting CI/CD and containerized environments.

Responsibilities / Requirements:

  • Working knowledge of any one Azure, AWS, or GCP through projects or academic work. Cloud certifications (Azure/AWS/GCP) are a plus.
  • Understanding CI/CD pipelines, version control, and DevOps practices.
  • Basic exposure to Docker and containerization concepts.
  • Ability to script or automate using Python or shell is an advantage.

3. Cloud & Data Engineering


Support the development of data pipelines, ETL processes, and cloud-based data platforms.

Responsibilities / Requirements:

  • Academic or project experience with any one Azure, AWS, GCP Cloud.
  • Understanding ETL concepts, data ingestion, and transformation logic.
  • Exposure to Spark / PySpark for distributed data processing.
  • Good programming skills in Python and SQL.
  • Ability to learn data pipeline orchestration tools and cloud storage services.


Assist in designing and implementing backend services and APIs with a strong focus on performance and security.

Responsibilities / Requirements:

  • Solid programming knowledge in Python.
  • Exposure to building APIs using Flask, FastAPI, or Django (any one).
  • Basic understanding of API security, authentication/authorization concepts.
  • Familiarity with RESTful design principles.
  • Ability to debug and write clean, maintainable code.

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