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Active3mo ago

Sr. ML Engineer

Convegenius·📍 Uttar Pradesh, India

Employment

FULL TIME

Work mode

On-site

Experience

5–7 years

Salary

₹50L – ₹70L/yr

Role overview

Job description

Does working for 150+ million children of Bharat excite you? Then this opportunity is for you! About us: ConveGenius is an AI-native education infrastructure company transforming how governments, enterprises, and social institutions deliver learning and governance outcomes at population scale. Operating across B2G and B2B segments, the company partners with state governments, CSR funders, philanthropies, and social enterprises to build intelligent education ecosystems that are both impactful and commercially sustainable. At its core, ConveGenius runs two synergistic business lines: SwiftAI – the intelligence and automation layer that powers citizen engagement, governance efficiency, and real-time decision-making for governments and institutions. SwiftSchool – the learning infrastructure layer that integrates adaptive learning, digital classrooms, and analytics to drive measurable student

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About this listing

  • Source: Convegenius's official careers site (via Keka) · last confirmed on the source 26 Oct 2026
  • Posted 16 Jul 2026

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Role market pulse

How Machine Learning Engineer demand looks in India

28/100 · cooling

Live jobs

24

Posted 30d

4

30d movement

-71.4%

Remote share

33.3%

Salary listed

8.3%

Salary trend 1Y

Not enough history

What they are looking for

Skills & requirements

Qualification

specific use cases such as question answering, content generation, adaptive feedback, and curriculum alignment. Own full system architecture: data pipelines, retrieval layers, orchestration, APIs, and service infrastructure — written as maintainable, tested production code, not notebooks or scripts. Build rigorous LLM evaluation frameworks: task-specific benchmarks, regression testing, human eval loops, and automated quality gates to catch degradation before it ships. Own latency and cost at the application layer: caching strategies, request batching, model/route selection, and prompt-context optimisation to keep production systems fast and affordable at scale. Build data pipelines for grounding and instruction data, including multilingual and Indic language sources. Assess new open-source and closed model releases for domain applicability, cost, and production readiness. Define and track system performance metrics, evaluation benchmarks, and reliability targets across all shipped features. Work with open-source and sovereign LLMs, integrating them into production-proven serving and orchestration frameworks. Where warranted, fine-tune or adapt foundation models (LoRA/QLoRA/SFT) — a

Department · Technology

Hiring company

Convegenius

Technology

ConveGenius leads educational transformation in India with innovative tech solutions aimed at providing quality learning for all. Discover our impact.

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