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 fast-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.
- Solid Python programming skills, including experience with data manipulation and ML libraries.
- Experience with Databricks and cloud-based ML deployment (Azure preferred).
📌 Full Stack Data Scientist – Data Analytics Team (Ahmedabad)
🏢 Mantras2Success Consultants
📍 Ahmedabad
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