Unit Manager - Technology as a Business/Senior Unit Manager - Technology as a Business
Bajaj Finserv Health · Pune · onsite · Posted 38d ago
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About this role
Job Purpose
The Senior AI Engineer role exists to design, build, and operationalize production-grade AI models and pipelines, enabling scalable Voice AI and Generative AI solutions aligned with business use cases. The role focuses on hands-on development, optimization, and deployment of AI systems, translating architectural vision into robust, high-performing solutions.
Duties And Responsibilities
- Build and deploy Speech AI and LLM-based systems (STT, TTS, S2S, dialogue orchestration)
- Implement production-grade pipelines for inference, fine-tuning, and model lifecycle
- Work on low-latency, high-throughput model serving (real-time voice systems)
- Optimize models using quantization, distillation, pruning techniques
- Integrate LLMs/SLMs into voice workflows (prompting, chaining, orchestration)
- Develop emotion-aware dialogue handling logic and fallback strategies
- Support voice biometrics and anti-spoofing system implementation
- Work closely with Product and Lead AI to translate business problems into AI solutions
- Ensure model performance, monitoring, observability, and continuous improvement
- Build and convert POCs into stable production deployments (no demo-only work)
- Follow best practices in MLOps, versioning, and reproducibility
- Model implementation choices (fine-tune vs prompt vs orchestration)
- Selection of frameworks, libraries, and deployment patterns
- Trade-offs between performance vs cost vs scalability
- Decisions on model optimization techniques (quantization, distillation, etc.)
- Integration approach for LLMs with speech pipelines
- Handling edge cases in dialogue flow and failure scenarios
- Making models production-ready (latency, stability, cost) — not just proof of concept
- Handling noisy real-world voice inputs across languages and dialects
- Balancing accuracy vs latency vs infra cost constraints
- Integrating multiple AI components (STT + LLM + TTS) without breaking flow
- Managing model degradation and continuous learning loops from failures
- Working within real-world infra limitations (GPU availability, edge constraints)
- Bachelor's or Master's degree in Computer Science, AI, or related field
- Experience: 3–6 years in AI/ML with strong hands-on delivery
- Strong experience in Speech AI (STT, TTS, S2S)
- Hands-on experience with LLMs/SLMs (OpenAI, HuggingFace, LangChain)
- Experience in real-time AI systems / low-latency inference pipelines
- Proficiency in Python, PyTorch / TensorFlow
- Experience with model optimization (quantization, distillation)
- Knowledge of MLOps, deployment pipelines, and model monitoring
- Understanding of dialogue systems and conversational AI flows
- Exposure to voice biometrics / anti-spoofing (good to have)
- Experience with Indic languages / dialect-heavy environments
- Hands-on work in production AI (not just research/POC)
- Exposure to edge AI / on-device deployment
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Skills
About Bajaj Finserv Health
Bajaj Finserv Health
Internet
1.0k+
employees
2019
7 years old
Pune, Maharashtra
India
About
Company Overview
Bajaj Finserv Health is a health-tech company providing access to preventive, personalized & affordable healthcare for all. It is an all in one healthcare application where you can get a wide range of healthcare services such as accessing personalized healthcare plans, finding doctor clinics near you, booking appointment, storing your health records, and a lot more. At Bajaj Finserv Health, we are trying to change the way Indians access Healthcare. If you want to tackle hard and interesting problems at scale, and create an impact within an entrepreneurial environment, Join us!
Website: https://bajajfinservhealth.in/
Video links (App video) https://youtu.be/M2QHvaBC_z8
Bajaj Finserv Health Launch https://youtu.be/IrL_GDlCUhQ
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