Job Description:

About the Role :

We are looking for a hands-on Full Stack Data Scientist who can independently manage the

entire machine learning lifecycle—from data wrangling to deployment—without relying on a

dedicated data engineering team. This role is ideal for someone who thrives in a rapid-paced, self-

directed environment and is passionate about building real-world ML solutions that drive

business outcomes.

Key Responsibilities :

∙Own the full ML pipeline: data ingestion, cleaning, feature engineering, model

development, deployment, and monitoring.

∙Build and fine-tune models using Python and frameworks like Scikit-learn, XGBoost,

TensorFlow, or PyTorch.

∙Deploy models using Databricks, MLflow, and cloud-native tools (preferably Azure).

∙Develop robust, scalable pipelines using PySpark or native Databricks workflows.

∙Collaborate with BI analysts and business stakeholders to translate requirements into

production-ready solutions.

∙Maintain and improve existing models and pipelines with minimal supervision.

Required Skills :





∙3+ years of experience in applied data science or ML engineering.

∙Robust Python programming skills, including experience with data manipulation and ML libraries.

∙Experience with Databricks and cloud-based ML deployment (Azure preferred).

∙Ability to work independently across the full stack of ML development and deployment.

∙Familiarity with version control (Git), CI/CD, and MLOps best practices.

∙Excellent communication skills and ability to work with remote teams across time zones.

Nice to Have

∙Experience with data pipeline development using PySpark or Delta Lake.

∙Exposure to Docker, REST APIs, or real-time inference.

∙Prior experience working in a manufacturing or industrial analytics setting.

Interview Process:

Shortlisted candidates will be required to complete:

∙An online technical skills assessment focused on Python and applied machine learning.

∙An in-person practical test at our Ahmedabad Te

📌 Full Stack Data Scientist – Data Analytics Team Ahmedabad (India)
🏢 Mantras2Success
📍 India