Essential Functions:

- Proficient in exploratory data analysis (EDA) using Pythons scientific libraries including NumPy, Pandas, Matplotlib, Seaborn, and scikit-learn.
- Solid development experience in Python.
- Hands-on experience building, training, testing, validating, and productizing machine learning models for high-performance use cases.
- Solid understanding of core machine learning concepts, including feature engineering, model evaluation, and optimization.
- Experience implementing MLOps best practices, including model versioning, monitoring, and CI/CD pipelines for ML models.
- Hands-on experience with AWS SageMaker for building, training, tuning, and deploying ML models.
- Hands-on experience with to AWS services for machine learning workloads, such as S3, EC2, ECR, EKS, Lambda, CloudWatch.
- Strong understanding of model explainability frameworks such as SHAP, and the ability to interpret and explain model behavior.
- Experience debugging and analyzing false positive and false negative cases, including supporting client or production issues.




- Hands-on experience and solid understanding of deep learning models, with exposure to frameworks such as TensorFlow, PyTorch, or Keras.
- Strong problem-solving skills with the ability to move beyond tasks and propose improved or alternative solutions.
- Experience with ML lifecycle management and experimentation frameworks such as MLflow

Qualifications

- 8+ yrs
- work experience with a Bachelors Degree or 6+ years of work experience with a Master's or Advanced Degree in an analytical field such as computer science, statistics, finance, economics or relevant area
- Additional Skills (Plus)Exposure to model serving and inference engines such as TensorFlow Serving, Triton Inference Server, or similar technologies
- Experience building and maintaining Spark-based data and feature pipelines to support ML training and inference workflows
- Familiarity with big data platforms and storage systems such as Hadoop, EMR, and NoSQL databases

📌 Staff ML Scientist - PFI (Bengaluru)
🏢 VISA CONSOLIDATED SUPPORT SERVICES (INDIA
📍 Bengaluru