C
MLOps Engineer
C
- Posted a month ago
- Be among the first 10 applicants
Job Description
The role
Own STT/TTS quality for Indian languages — latency, code-switching, and telephony-grade audio pipelines on our voice platform.
Who should apply
B.E./B.Tech or M.Tech in CS/EE with 2+ years in speech or NLP. Comfortable with Python, PyTorch or similar, and shipping models to production.
Expectations
Own STT/TTS quality for Indian languages — latency, code-switching, and telephony-grade audio pipelines on our voice platform.
Who should apply
B.E./B.Tech or M.Tech in CS/EE with 2+ years in speech or NLP. Comfortable with Python, PyTorch or similar, and shipping models to production.
Expectations
- Fine-tune and evaluate ASR/TTS for Hindi, Telugu, Tamil, and English code-mix
- Build offline eval sets and regression tests for model releases
- Collaborate with backend on streaming inference at 8–16 kHz
- Document model cards, failure modes, and language-specific tuning
More Info
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About Company
Skills:
AWS, Tensorflow, Pytorch, Gcp, Docker, Azure, Kubernetes, Python, Scikit-learn
Skills:
Python, Linux, Docker, AWS SageMaker, SageMaker SDK, ML Concepts
Skills:
Python, Data pipeline automation
Skills:
Apis, Microservices, Rest Apis, Python, LLM and agent evaluation frameworks, model governance, LLMs, multi-agent orchestration, agent memory design, enterprise data concepts, tool-calling capabilities, agent development frameworks, GenAI applications, observability and tracing, guardrails for AI agents, RAG architecture
Skills:
containerization , Azure ML, Scripting Language, Scala, Pyspark, Terraform, Docker, Distributed Systems, Arm, Python, Kubernetes, Etl, data architectures, DevOps practices, infrastructure automation, Data Analytics tools, ML workflows, CI CD pipelines, MLOps tooling, Bicep, feature engineering