Company: CyberTrack Technology Solutions

Website: Visit Website

Business Type: Consulting Firm

Company Type: Service

Business Model: B2B

Funding Stage: Bootstrapped

Industry: Information Technology

Salary Range: ₹ 15-18 Lacs PA

We are looking for an AI/ML Engineer with expertise in LLMs and NLP to build cutting-edge features for our contact center SaaS platform. You will work on LLM-based summarization, sentiment analysis, agent assist, and emotion recognition , integrating AI pipelines into core product features and ensuring scalable, production-grade deployment .

Key Responsibilities

- AI/ML + LLM/NLP
- Lead implementation of LLM-based features: summarization, sentiment detection, auto-disposition, escalation tagging
- Fine-tune and evaluate models (Whisper, GPT, HuggingFace, Rasa) for vernacular (Indian) language support
- Build and deploy LangChain pipelines for prompt engineering, QA tagging, and agent assist
- Prototype emotion recognition, contextual agent replies, and real-time assist layer
- Build and maintain inference pipelines using FastAPI, Docker, and Kubernetes
- Integrate AI modules into core product features (Dialer, CRM sync, IVR)
- Optimize model latency and deployment strategy for high concurrency environments
- Architect scalable data pipelines using PostgreSQL, Redis, and Kafka




- Build ETL/ELT workflows to support real-time analytics, dashboards, and feedback loops
- Maintain secure, compliant data storage, retrieval, and access control pipelines (DPDP, GDPR-ready)
- Collaboration & Leadership
- Work closely with Product, Engineering, and UX to deliver features that directly impact agent productivity
- Guide junior ML and data engineers; define and enforce coding/data standards
- Contribute to AI strategy, model governance, and data infrastructure roadmap

Required Skills & Qualifications

- Total experience of 4-8 years
- 2-5 years of experience in ML/AI/Data Engineering with exposure to LLMs and production-grade pipelines
- Hands-on with Whisper, LangChain, HuggingFace, or similar frameworks
- Solid Python (FastAPI preferred), SQL/PostgreSQL, and experience with RESTful APIs
- Proven experience with CI/CD, Docker, K3s/Kubernetes, Redis, Kafka/RabbitMQ
- Solid understanding of NLP/STT/TTS, summarization, and emotion tagging
- Ability to work in startup-paced environments with an ownership mindset

Bonus Skills

- Experience with multilingual models (Hindi, Tamil, Bengali)
- Exposure to Rasa, Coqui TTS, or OpenWA integrations
- Prior work in SaaS/Contact Center/Dialer/CRM ecosystems
- Familiarity with speech emotion recognition or agent coaching models

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