2+ Scikit-Learn Jobs in Ahmedabad | Scikit-Learn Job openings in Ahmedabad

• Data Preparation & Pipelines
• Collect, clean, structure and segregate data from multiple sources so it is ready for analysis and modelling; build repeatable data pipelines.
• Data accuracy & completeness; pipeline reliability; turnaround time.
• Model Development & Predictive Analytics
• Build, train, test and improve machine-learning models and prediction use cases.
• Model accuracy; validation rigour; improvement over baseline.
• Deployment, Integration & Documentation
• Serve models via APIs, support basic deployment, maintain version control and clear technical documentation. Build or integrate with backend services (Python-based or MEAN/MERN stack) to expose ML functionality to production applications.
• Solutions in actual use; clean repos; quality of documentation; smooth backend integration.
• Collaboration & Continuous Learning
• Work with the wider team and keep up with new tools, models and methods.
• Team feedback; adoption of new techniques; knowledge sharing.

Exp: 4 to 8 Years

CTC: up to 40 LPA

Mandatory Criteria

• 5–7 years of hands-on experience in building and deploying AI solutions, ideally in fintech or financial services.
• Strong coding skills in Python and familiarity with libraries like TensorFlow, PyTorch, scikit-learn, XGBoost, etc.
• Experience with NLP, time series forecasting, anomaly detection, or graph ML relevant to fintech applications.
• Solid understanding of MLOps concepts – model versioning, deployment, monitoring.
• Experience working with cloud platforms (AWS/GCP/Azure) and ML services (e.g., SageMaker, Vertex AI).
• Familiarity with Docker, Kubernetes, or other containerization tools for model deployment is a plus.
• Comfortable working with large-scale structured and unstructured datasets. Experience with LLMs or generative AI for fintech-specific use cases.
• Exposure to RegTech, risk modeling, or algorithmic trading.
• Publications, GitHub contributions, or Kaggle competitions.
• Familiarity with SQL/NoSQL databases and data pipelines (e.g., Airflow, Spark, etc.).

If interested kindly share your updated resume on 82008 31681