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Gen AI Developer | 4–6 Years | New Delhi (Onsite) | Contract – 4 Months

6 years

0 Lacs

delhi india

Posted:1 month ago| Platform: Linkedin logo

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Skills Required

ai developer engagement support development data processing gcp storage sql translation ml reliability scalability multilingual integrity programming model deployment tuning communication

Work Mode

On-site

Job Type

Contractual

Job Description

Job Title:

Experience Range:

Location:

Engagement Type:


Gen AI Developer

This role involves building, optimizing, and deploying AI-enabled solutions, integrating data pipelines, and ensuring seamless performance across cloud components. Candidates must be comfortable working onsite in a fast-paced, innovation-focused environment.


Key Responsibilities

  • Develop and deploy

    Gen AI / LLM-based solutions

    on GCP.
  • Work extensively with

    BigQuery

    for data ingestion, transformation, and analytics.
  • Build serverless workflows using

    GCP Cloud Functions

    .
  • Integrate and manage data pipelines involving

    Cloud Storage

    and

    Cloud SQL

    .
  • Implement and optimize ML/AI models for real-time or batch inference.
  • Collaborate with cross-functional teams on AI-driven use cases and POCs.
  • Ensure end-to-end performance, reliability, and scalability of AI applications.
  • Apply translation or multilingual text-processing knowledge where applicable.
  • Document technical workflows and maintain solution integrity throughout the project lifecycle.


Required Skills & Qualifications

  • 4–6 years of experience in

    AI/ML, Gen AI, or backend development

    with cloud integration.
  • Strong expertise in:

  • BigQuery

  • GCP Cloud Storage

  • GCP Cloud Functions

  • Cloud SQL

  • Hands-on experience building APIs, serverless functions, and data pipelines.
  • Familiarity with

    translation workflows, NLP, or text-processing concepts

    is a strong plus.
  • Proficiency in programming languages such as

    Python

    or

    Node.js

    .
  • Understanding of ML model deployment, fine-tuning, or LLM frameworks is beneficial.
  • Strong analytical, problem-solving, and communication skills.

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