Description GSPANN is hiring a Machine Learning / Data Engineer Specialist to build data pipelines, develop ML workflows, and deploy production models. Expertise in Python, Structured Query Language (SQL), and ML frameworks like TensorFlow, PyTorch, and Scikit-learn is required.
Role and Responsibilities
- Design and implement scalable data pipelines and machine learning workflows.
- Support data scientists by enabling feature engineering, streamlining data access, and deploying models.
- Maintain robustness, monitoring, and retraining capabilities for production ML solutions.
- Optimize the performance and cost efficiency of data and ML infrastructure.
- Partner with Information Technology (IT) and data governance teams to ensure compliance and security.
- Improve code quality, reusability, and automation in ML projects.
- Evaluate and adopt modern tools and best practices on a continuous basis
Skills and Experience
Hold a bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or a related field.Certifications in cloud technologies or data engineering provide an added advantage.Demonstrate proven experience in data engineering and / or machine learning infrastructure.Write efficient code in Python and Structured Query Language (SQL), and work with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.Build data pipelines, implement Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) processes, and manage workflows with orchestration tools such as Apache Airflow and Azure Data Factory (ADF).Apply Machine Learning Operations (MLOps) practices and work with cloud platforms such as Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP).Handle structured and unstructured data effectively.Apply DevOps concepts and manage version control using tools like Git and Continuous Integration / Continuous Deployment (CI / CD) pipelines.Communicate efficiently in fluent English.