Machine Learning Engineer

About the Role

We are hiring an AI/ML Engineer to join our founding team in Bangalore. This is an onsite/hybrid role — we value in-person collaboration but allow flexibility when needed. You will own the AI/ML layer of Credira’s product: building LLM-powered outreach, compliance intelligence, and risk-scoring systems that directly impact recovery rates for SMEs. This is a 0→1 opportunity where you’ll define how AI replaces traditional collections teams.

Role Responsibilities

• Develop and deploy ML models for outreach optimization, language & tone modeling, and invoice risk scoring.
• Fine-tune and evaluate LLMs for negotiation, compliance, and collections workflows.
• Build pipelines for structured (invoices, payments) and unstructured (emails, WhatsApp chats, voice transcripts) data.
• Contribute to Voice AI agents (speech-to-text, TTS, emotion/sentiment analysis).
• Work with software engineers to integrate ML models into production (APIs, webhooks, real-time inference) and continuously monitor and improve accuracy and performance.

Required Qualifications

• 2–5 years of applied AI/ML engineering experience.
• Strong experience with Python, PyTorch/TensorFlow, Hugging Face.
• Background in NLP/LLMs (dialogue systems, summarization, sentiment analysis).

Preferred Qualifications

• Hands-on experience building end-to-end ML pipelines (data ingestion → training → deployment).
• Familiarity with MLOps (Docker, CI/CD, inference optimization).

Good to Have

• Experience with fintech, payments, or compliance-heavy domains.
• Knowledge of Voice AI / speech technologies (ASR, TTS, sentiment/emotion analysis).

What We Offer

• Bangalore-based role (onsite/hybrid) with founder-level collaboration.
• Opportunity to own the AI stack end-to-end at a fast-growing fintech startup.
• Work on a $16B+ global collections problem with immediate business impact.
• Competitive salary + meaningful equity as an early team member.