Data Scientist

Thyrocare Technologies Limited; Bengaluru; On-site; INR 900,000 - 1,800,000; Full time

Job summary

Thyrocare Technologies Limited in Bengaluru is seeking a hands-on ML engineer to build and deploy models end to end and own a problem area from concept to business impact.

You will work with Python, SQL, and MLOps tooling, ensuring production quality, serving latency, and scalable deployment while tracking model drift and retraining as needed.

Qualifications

• 1+ years of hands-on experience building and deploying ML models.
• Strong classical ML: regression, tree-based models, time-series forecasting, feature engineering, validation.
• Models you've taken to production yourself, using Python, SQL, and standard MLOps tooling, with impact you can quantify.
• Hands-on experience with LLM/agentic systems beyond demos.

Responsibilities

• Build and deploy ML models end to end: data preparation, feature engineering, training, evaluation, deployment, and monitoring.
• Own a problem area, from deciding what's worth building to the business metrics it moves.
• Write production-quality code and work with engineering on serving, latency, and scale.
• Track drift, retrain, and keep improving models after launch.
• Build LLM-based agentic systems where they beat simpler approaches.
• Work directly with business heads across three companies to shape what gets built.

Skills

Python

SQL

MLOps

Feature engineering

Time-series forecasting

LLM/agentic systems

Model deployment

Production ML

Education

Bachelors in CS/IT/Math

Tools

MLflow

Docker

Kubeflow

Git

Job description

What you'll do

• Build and deploy ML models end to end: data preparation, feature engineering, training, evaluation, deployment, and monitoring.
• Own a problem area, from deciding what's worth building to the business metrics it moves.
• Write production-quality code and work with engineering on serving, latency, and scale.
• Track drift, retrain, and keep improving models after launch.
• Build LLM-based agentic systems where they beat simpler approaches.
• Work directly with business heads across three companies to shape what gets built. What success looks like

What you need

1+ years of hands-on experience building and deploying ML models.

Strong classical ML: regression, tree-based models, time-series forecasting, feature engineering, validation.

Models you've taken to production yourself, using Python, SQL, and standard MLOps tooling, with impact you can quantify.

Hands-on experience with LLM/agentic systems beyond demos.

Nice to have: Optimization or simulation, search and recommendation systems, A/B testing or causal inference, and experience in e-commerce, pharma, diagnostics, or supply chain. Location: Bangalore