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ML Engineer, Gen AI

2 years

0 Lacs

gurugram haryana india

Posted:1 day ago| Platform: Linkedin logo

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Skills Required

ml ai learning engineering design data power layers sql postgresql nosql mongodb prototyping evaluation deployment monitoring research code development testing software algorithms database processing kafka microservices containerization docker kubernetes tensorflow pytorch portfolio

Work Mode

Remote

Job Type

Full Time

Job Description

About Qolaba


Qolaba is building the future of AI by creating intelligent applications, AI agents, and infrastructure to make artificial intelligence accessible, practical, and powerful. We’re a fast-growing startup backed by strong partnerships and working with enterprises across industries.

About the Role


Machine Learning Engineer (Generative AI)

Responsibilities


  • Design, build, and maintain scalable backend systems and data pipelines for AI agents and LLM applications.
  • Develop and manage data layers across SQL (PostgreSQL), NoSQL (MongoDB), and vector databases.
  • Build, deploy, and manage advanced AI agents and multi-agent systems using modern frameworks.
  • Manage the end-to-end lifecycle of LLM applications: prototyping, evaluation, deployment, monitoring, and continuous improvement.
  • Collaborate with product and research teams to shape the technical roadmap and ensure best engineering practices.
  • Write high-quality, well-tested code and own services through the full lifecycle (development → testing → deployment → maintenance).
Qualifications
  • 2+ years of professional experience in software development, with focus on machine learning, backend systems, or data engineering.
  • Strong foundation in computer science (data structures, algorithms, OOP).
  • Proficiency in

    Python

    .
  • Experience with SQL and NoSQL databases; data modeling and database design.
  • Hands-on experience with LLM application lifecycle (evaluation, testing, deployment, observability tools such as Langfuse, Arize, Weights & Biases).
  • Experience with AI agent frameworks (LangChain, LangGraph, CrewAI, AutoGen, Agno, etc.).
  • Familiarity with real-time data processing (Kafka, Pulsar, Kinesis) and event-driven architectures.
  • Exposure to microservices, containerization (Docker, Kubernetes), and distributed systems.
  • Experience with ML frameworks (TensorFlow, PyTorch, JAX), and multimodal AI systems.
  • Portfolio of projects, open-source contributions, or personal experiments in AI.
  • Comfortable working in a fast-paced, startup environment with high ownership.
Why Join Us
  • Build the future of Generative AI with a passionate, ambitious team.
  • High-impact role with the opportunity to influence core product and system architecture.
  • Flexible, remote-friendly work environment with a base in Gurugram, Haryana.
  • Equal-opportunity employer – we welcome talent from all backgrounds.


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