What We're Looking ForRequired

- 3+ years of professional experience in ML/AI engineering or a closely related role (data science with production deployment experience counts).
- Proficiency in Python — not just notebooks, but structured application code with packaging, testing, and CI/CD.
- Hands-on experience with at least two of: predictive modeling (scikit-learn, XGBoost, PyTorch/TensorFlow), LLM integration (API-based or fine-tuning), speech/NLP pipelines.
- Experience deploying ML models to production (not just training them) — model serving, monitoring, versioning.
- Solid software engineering fundamentals: REST APIs, Git, SQL, containerization (Docker), infrastructure-as-code.
- Familiarity with GCP services (Cloud Run, Cloud SQL, BigQuery, Vertex AI) or equivalent cloud platform experience (AWS SageMaker, Azure ML).
- Solid communication skills — you'll work directly with clinicians and operations staff who aren't engineers.

Preferred

- Experience in healthcare/finance or other regulated industries (HIPAA compliance, BAA requirements, PHI handling).
- Familiarity with EHR data formats and standards (HL7, FHIR R4, X12 837/835).




- Experience with Temporal or similar workflow orchestration frameworks (Airflow, Prefect).
- Background in voice/speech tech — ASR model evaluation, Whisper fine-tuning, telephony integration (Twilio/SIP).
- Exposure to React/Next.js for building internal ML-powered tools and dashboards.
- Experience with MLOps tooling: experiment tracking (MLflow, W&B;), feature stores, model registries.

Tech Stack
Languages

Python (primary), TypeScript/JavaScript

Backend

FastAPI, Temporal

Frontend

React, Next.js

Database

PostgreSQL (Cloud SQL)

Cloud

GCP — Cloud Run, Vertex AI, BigQuery, Artifact Registry, Secret Manager

Infrastructure

Terraform, Docker, GitHub Actions

ML/AI

PyTorch, scikit-learn, Hugging Face, LangChain, Claude API, OpenAI API

Voice

SIP, Whisper, Google MedASR

Data

Pandas, dbt, BigQuery

Pay: ₹408,424.75 - ₹1,279,213.11 per year

Benefits:

- Commuter assistance
- Food provided
- Health insurance
- Paid sick time
- Paid time off
- Provident Fund

Work Location: In person

📌 AI/ML Engineer (India)
🏢 nCare MD
📍 India