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AI/ML Engineer

nCare MDPB, IN1d ago
Full-timevia indeed

Required Skills

apiawsazureci/cddockerfastapigcpgitgithub actionsjavascriptllmnext.jsnlppandaspostgresqlpythonpytorchreactrestsqltensorflowterraformtypescript

Job Description

  • *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).
  • Strong 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

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Job Overview

Job type
Full-time
Work mode
On-site
Location
Chandigarh
Posted
1d ago
Source
Indeed