Machine Learning Engineer

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

Job Description

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
  
  

• 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
• Strong understanding of NLP/STT/TTS, summarization, and emotion tagging
• Ability to work in startup-paced environments with an ownership mindset
  
  

• 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