Key skills
AWSAzureCloudGoogle Cloud PlatformNumpyPandasPythonPyTorchScikit-LearnSQLTableauTensorflowAIMachine LearningMLTensorFlowscikit-learnNumPyMLOpsMLflowBIPower BIDatabricksGCPGoogle CloudSageMakerVertex AI
About this role
Role Overview
- Create data-driven solutions
- Work closely with diverse teams
- Develop analytical and machine learning models
- Generate measurable business value
Requirements
- Strong command of Python (NumPy, pandas, scikit-learn)
- Basic knowledge of PyTorch or TensorFlow
- Solid experience in Exploratory Data Analysis (EDA)
- Strong foundation in Statistics and Probability (hypothesis testing, inference, distributions)
- Proven experience developing and evaluating supervised and unsupervised Machine Learning models
- Tuning and validation techniques
- Knowledge of ML experiment tracking tools: MLflow, Weights & Biases (W&B), Databricks ML
- Good SQL skills for data analysis and querying
- Familiarity with cloud ML platforms: Azure ML, AWS SageMaker, GCP Vertex AI
- Experience in data visualization: Matplotlib, Seaborn, Plotly
- BI tools such as Power BI or Tableau
- Knowledge of MLOps: model registry, versioning and deployment lifecycle
Tech Stack
- AWS
- Azure
- Cloud
- Google Cloud Platform
- Numpy
- Pandas
- Python
- PyTorch
- Scikit-Learn
- SQL
- Tableau
- Tensorflow
Benefits
- Positive and inclusive work environment
- Continuous growth and learning
- Expert support at all stages
- Long-term partnerships with clients