- Develop efficient solutions for complex problems, showcasing expertise in handling various data types, databases, data analytics, Python programming, statistics.

End-to-End Pipeline Management :

- Manage the entire data science pipeline, including problem scoping, data gathering, modeling, insights generation, visualizations, monitoring, and maintenance.

Dashboard Design :

- Design dashboards using PowerBI or Python Dash (plotly) or Flask framework for effective data visualization and reporting.

Technological Expertise :

- Utilize CI/CD tools, data pipeline technologies, and visualization/data storytelling tools proficiently.

ETL Pipeline Building :

- Construct ETL pipelines using Python or Azure Synapse to facilitate efficient data processing and management.

Data Procurement and Management :

- Independently procure and process data, ensuring seamless integration within the company's overall data management strategy.

Technology Exploration :

- Continuously monitor advancements in artificial intelligence technology and identify applications for problem-solving within the company.

Technical Skills :

- Proficiency in Python and common libraries (Dash, Pandas, Scikit-Learn, Pydantic, TensorFlow, Keras, Pytorch).

- Strong Knowledge in Statistics and Probability.

- Hands-on experience with Computer Vision projects.

- Set up cloud alerts, monitors, dashboards, and logging systems, troubleshoot data platform infrastructure as needed.

- Experience in OpenShift/Kubernetes, Azure ML is desirable.

- Proficiency in programming languages : Python and database query languages SQL.

- Good applied statistical skills, including hands-on experience in time series modeling, predictive modeling, distributions, regression and classification.

- Knowledge of DevOps/MLOps.

- Exceptional analytical and problem-solving skills.

Preferred candidate profile :

- Bachelor's or Master's degree in Computer Science or a related technical field, or equivalent experience.

- Total of 6 to 10 years of professional experience.

- Minimum 4 years of experience in data science/machine learning/deep learning.

- Minimum 2 years of experience with Computer Vision domain.

- Experience in DevOps, preferably with hands-on experience in one or more cloud service providers, with Azure being preferred.