Data Scientist - Artificial Intelligence/Machine Learning

Role Overview :

- Translate business problems into analytical tasks and define the problem scope.

Data Exploration and Preparation :

- Collect, clean, and preprocess large datasets from multiple sources.

- Perform exploratory data analysis (EDA) to extract meaningful insights.

Model Development and Time-Series Analysis :

- Apply advanced techniques to analyze and forecast time-series data.

- Implement end-to-end machine learning pipelines, from data ingestion to deployment.

Deployment and Scalability :

- Build and deploy machine learning models into production environments.

- Ensure scalability, robustness, and efficiency of deployed models.

- Implement MLOps practices for model lifecycle management.

Communication :

- Present technical findings and actionable insights to non-technical stakeholders.

- Create visualizations and reports to communicate results effectively.

Continuous Improvement :

- Stay updated with the latest advancements in AI/ML technologies.

- Experiment with new tools and techniques to enhance model performance

Experience :

- 3 - 5 years of hands-on experience in AI/ML model development, deployment, and lifecycle management.

Qualifications :

- Bachelors or Masters degree in Computer Science, Data Science, Statistics, or related fields.

Required Skills :

- Strong knowledge of machine learning algorithms, deep learning frameworks (e.g.,

TensorFlow, PyTorch), and optimization techniques.

- Experience working with time-series data analysis and forecasting techniques.

- Expertise in deploying models using cloud platforms (AWS, GCP, Azure) and containerization

tools (e.g., Docker, Kubernetes).

- Excellent communication and presentation skills to convey complex ideas clearly.