TeamLease
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HR Consulting · 1001 to 5000 Employees · Bengaluru, India
Hiring: Engineering
What employees say
+ Permanent WFH Depends on Project
− Nothing as of now. Its really good and flexible job. no negative reviews.
More reviews on the company profile.
Interview experience · Support Engineer
Regarding support roles and technical discussion on ETL where they are asking about schemas and dataware housing concept and mostly asking on ETL what are techniques you are using to load all the historical data
Difficult difficulty · Navi Mumbai · 76 reports
More interview insightsJob description
Overview
We are building the next-genAI-native, multilingual, Omni channel communication platform for emerging markets.
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, 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 juniorMLand data engineers; define and enforce coding/data standards
- Contribute toAIstrategy, model governance, and data infrastructure roadmap
Qualifications
- Min 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 ownership mindset
- Shape theAI-native dialer experience agents across India and Oversees
- Build with purpose — multilingual, affordable, fast-deploy SaaS platform for emerging markets
- Work with modern tech: GPT, Whisper, LangChain, WebRTC, React, FastAPI
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Job application FAQ
Last updated 18 September 2026
- How do I apply for Sr.AI ML Engineer For Product Development Organization at TeamLease?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. TeamLease may attach structured assessments to interview rounds after you apply.
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Sr.AI ML Engineer For Product Development Organization remote or on-site in Haryana?
- This listing is marked on_site with location Haryana. Confirm details on the job description before applying.
- What skills matter for this Sr.AI ML Engineer For Product Development Organization role at TeamLease?
- This is a senior Sr.AI ML Engineer For Product Development Organization role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.