Machine Learning Engineer

SourcingXPress; Gurugram District; On-site; INR 1,500,000 - 1,800,000; Full time

Job summary

CyberTrack Technology Solutions in Gurugram District, India is looking for an AI/ML Engineer to develop LLM-based features for their SaaS contact center platform. The ideal candidate will have 4-8 years of experience, including 2-5 years specifically in ML/AI/Data Engineering, with hands-on knowledge of frameworks such as Whisper and LangChain. Responsibilities include fine-tuning models, integrating AI modules, and maintaining scalable AI pipelines. Join a dynamic team making a significant impact in the industry.

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.
• Solid Python skills, preferably with FastAPI.
• Proven experience with CI/CD and Docker.

Responsibilities

• Lead implementation of LLM-based features such as summarization and sentiment detection.
• Optimize model latency and deployment strategy for high concurrency.
• Integrate AI modules into core product features like Dialer and CRM sync.

Skills

Experience with LLMs

NLP knowledge

Python (FastAPI preferred)

RESTful APIs

Experience with Docker

Experience with CI/CD

Knowledge of PostgreSQL

Ability to work in startup environments

Tools

Whisper

LangChain

HuggingFace

Kubernetes

Redis

Kafka/RabbitMQ

Job description

Company: CyberTrack Technology Solutions

Salary Range: ₹ 15-18 Lacs PA

AI/ML Engineer – LLM & NLP

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

• 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)
• 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
• Strong 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