Dhani - Data Engineer - Artificial Intelligence/Machine Learning Models

4 weeks ago

Mangalore, Karnataka, India DHANI Full time

Key Responsibilities :

Data Engineering & Data Science :

- Preprocess structured and unstructured data to prepare for AI/ML model development.

- Apply strong skills in feature engineering, data augmentation, and normalization techniques.

- Manage and manipulate data using SQL, NoSQL, and cloud-based data storage solutions such as Azure Data Lake.

- Design and implement efficient ETL pipelines, data wrangling, and data transformation strategies.

Model Deployment and MLOps :

- Deploy ML models into production using Azure Machine Learning (Azure ML) and Kubernetes.

- Implement MLOps best practices, including CI/CD pipelines, model versioning, and monitoring frameworks.

- Design mechanisms for model performance monitoring, alerting, and retraining.

- Utilize containerization technologies (Docker/Kubernetes) to support deployment and scalability.

Business & Analytical Insights :

- Work closely with stakeholders to understand business KPIs and decision-making frameworks.

- Analyze large datasets to identify trends, patterns, and actionable insights that inform business strategies.

- Develop data visualizations using tools like Power BI, Tableau, and Matplotlib to communicate insights effectively.

- Conduct A/B testing and evaluate model performance using metrics such as precision, recall, F1-score, MSE, RMSE, and model validation techniques.

Desired Profile :

Experience and Expertise :

- Proven experience in data engineering, AI/ML data preprocessing, and model deployment.

- Strong expertise in working with both structured and unstructured datasets.

- Hands-on experience with SQL, NoSQL databases, and cloud data platforms (e.g., Azure Data Lake).

- Deep understanding of MLOps practices, containerization (Docker/Kubernetes), and production-level model deployment.

Technical Skills :

- Proficient in ETL pipeline creation, data wrangling, and transformation methods.

- Strong experience with Azure ML, Kubernetes, and other cloud-based deployment technologies.

- Excellent knowledge of data visualization tools (Power BI, Tableau, Matplotlib).

- Expertise in model evaluation and testing techniques, including A/B testing and performance metrics.

Soft Skills :

- Strong analytical mindset with the ability to solve complex data-related problems.

- Ability to collaborate with cross-functional teams to understand business needs and provide actionable insights.

- Clear communication skills to convey technical details to non-technical stakeholders.

(ref:hirist.tech)

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