
Advanced Machine Learning Specialist
2 days ago
We are seeking a skilled professional to fill the role of Data Scientist Product Development. This position requires an individual who is passionate about their work, eager to learn and grow, and committed to delivering exceptional results.
As a Data Scientist, you will be responsible for building, implementing, and integrating advanced ML/AI solutions into insurance products. You will collaborate across teams, design, build, optimize ML models, process data, and develop AI/ML algorithms.
- Key Responsibilities:
- Design, build, and optimize ML models using various algorithms; feature engineering, tuning, validation.
- Process data, build/optimize ETL pipelines using cloud platforms (AWS/Azure/GCP).
- Develop/optimize AI/ML algorithms (incl. Deep Learning, RL) for production.
- Deploy models (API/microservices), use MLOps, collaborate with DevOps/Eng.
- Stay updated on AI/ML trends, experiment with tools.
Education: Masters or Bachelors in Data Science, Computer Science, Statistics, or related field.
Technical Skills:
- Programming: Python or R (strong proficiency)
- ML Libraries: TensorFlow, PyTorch, Scikit-learn
- Data: SQL, NoSQL, Data Pipelines (Spark, Hadoop, Airflow)
- Cloud ML: AWS SageMaker, Azure ML, or GCP Vertex AI
- MLOps: Familiarity (e.g., MLflow, Kubeflow, TensorBoard)
This role offers the opportunity to work with a team that is passionate about innovation and collaboration. As a Data Scientist, you will have the chance to make a meaningful impact on the development of advanced ML/AI solutions.
OthersPreferred Skills:
- Experience in NLP, Computer Vision, Deep Learning (for insurance).
- Familiarity with Graph Analytics (for fraud/network analysis).
- Knowledge of insurance processes or financial risk modeling.
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