N
AI/ML Engineer
nCare MDPB, IN1d ago
Full-timevia indeed
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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