- Apply emerging technologies to help our clients maximize the value of their data by generating actionable insights that provide real business outcomes.
- Project experience through all phases of the project lifecycle from strategy and advisory, scoping and planning, requirements gathering, design, development, testing, training and deployment.
- Conduct data analysis to identify insights and trends.
- Develop and deploy machine learning models.
- Collaborate with data engineers to ensure data availability and quality.
- Provide recommendations for AI strategy and implementation.
- Stay updated on the latest AI and data science developments.
- Assist clients in understanding and interpreting AI and data-driven insights.
- Troubleshoot and debug AI algorithms as needed.
- Document and communicate project progress and results to clients.
A bachelor Degree in Computer Science, Software Engineering, Statistics, Mathematics or related disciplines from a reputable university.Minimum 15 years of relevant experience as a Data Engineer or relevant roles.Should be Proficient in writing technical reportsHas experience in writing technical proposalsCloud computing platforms: AWS/Azure/GCPProgramming languages: Python/Java/Scala & Unix Shell scriptingData warehouse technologies: Redshift/Snowflake/BigQueryData lake technologies: Hadoop, Spark, and HiveOrchestration: Airflow/Control-M/(Any Orchestration tool)Machine learning frameworks: TensorFlow, PyTorch, and scikit-learn