gnani.ai
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Information Technology Support Services · 51 to 200 Employees · Bengaluru, India
Gnani.ai is an enterprise-grade Agentic AI platform delivering autonomous, voice-first systems that understand, converse, and take intelligent action. With a strong R&D foundation, 10+ patents, and 120+ domain experts, we serve 200+ leading enterprises including Bank of Baroda, HDFC, Airtel, Tata Motors, and Voltas. Our AI systems handle over 10 million voice interactions daily, generating $10B+ in business impact across sectors like BFSI, Healthcare, FMCG, and Automotive. We are also proud to share that Gnani.ai has been selected by the Government of India as one of the AI companies entrusted with building the nation’s first Voice-to-Voice Foundation Model—a landmark initiative that underlines our commitment to building sovereign AI infrastructure for India.
Hiring: Engineering
What employees say
+ - Exposure to Real World Production Environments, No end for learning - Supportive Seniors and Management - Good Work Life Balance ( When pressure comes it will definitely come !
− - Haven't found any yet !
More reviews on the company profile.
Interview experience · Senior Software Engineer
Two rounds first round was machine coding , was asked to create a dashboard, basic fundaments of react, nodejs and javascript and mysql queries second round -> machine coding->implement web sockets
Average difficulty · India · 23 reports
More interview insightsJob description
Overview
Data Engineer / Analyst — Speech & Language Data
Responsibilities
- Being the single point of contact • Be the person the team comes to for data.
- Take requests from ASR, TTS, LLM, and product, understand what is actually needed, and deliver the right subset with the right metadata • Communicate clearly and often across a team of researchers and engineers with different needs and different vocabularies, and keep everyone working from one shared picture of what data exists • Say no when a request would compromise split hygiene, consent, or compliance — and explain why in terms the requester accepts
Qualifications
- 3–6 years in data engineering, data analysis, or ML data work — with real ownership of a dataset that other people depended on
- Strong, practical Python: pandas or polars, scripting, automation, and comfort working with files and pipelines at scale rather than only in notebooks
- Genuine ownership instinct. This role has no one above it to catch a data problem — you are that person, and you should want to be
- Excellent written and verbal communication, and the patience to work across several stakeholders with competing data needs
- Careful, detail-obsessed temperament — the kind of person who spots that two files have subtly different transcript conventions before anyone trains on them
- Hands-on experience with audio or speech data — segmentation, alignment, transcription workflows, or annotation operations
- Fluency in one or more Indian languages beyond English, and an ear for dialect and code-switching
- Comfort building small web UIs and demos — Streamlit, Gradio, or a lightweight FastAPI plus React app, coding assistants very much welcome
- Exposure to data governance and privacy in a regulated setting — DPDP, consent management, PII redaction, or supporting customer security reviews
- Comfortable operating with high ownership in a fast-moving, post–Series B environment
- Python & data: pandas / polars, PyArrow and Parquet, JSONL manifests, SQL, and clean reusable scripting
- Audio tooling: ffmpeg, sox, librosa or torchaudio — resampling, segmentation, loudness, and basic signal sanity checks
- Pipelines & storage: object storage, sharded formats for training throughput, workflow orchestration (Airflow, Prefect, or Dagster), Git, Docker
- Dataset discipline: versioning and snapshots, train / dev / test split design, speaker-disjoint splits, deduplication, dataset documentation
- Analysis & reporting: WER and CER computation and error slicing, coverage and gap reporting, agreement metrics, and dashboards people actually read
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Job application FAQ
Last updated 17 September 2026
- How do I apply for Data Engineer-Speech and language Data at gnani.ai?
- 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. gnani.ai may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer-Speech and language Data role?
- 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 Data Engineer-Speech and language Data remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Data Engineer-Speech and language Data role at gnani.ai?
- This is a mid-level Data Engineer-Speech and language Data role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.