Senior Data Engineer with ML

Roles and Responsibility

We are looking for a highly motivated and experiencedData Engineer with ML expertise to join our team. The ideal candidate will haveexperience in building scalable data pipelines, implementing machine learningmodels, and deploying ML solutions in production environments. As a DataEngineer with ML expertise, you will play a critical role in designing andimplementing ML-based solutions that enable data-driven decision-making andimprove business outcomes.

Responsibilities: Design and develop scalable data pipelines that enableefficient data collection, transformation, and storage. Implement machine learning models that extract insightsand predictions from data. Develop and maintain automated ML pipelines that enableend-to-end ML workflows. Deploy ML models in production on environments usingcloud-based services such as AWS SageMaker or Azure Machine Learning Develop and maintain documentation for ML-based solutions,including data flows, algorithms, and performance metrics. Ensure the security, privacy, and compliance of ML-based solutions. Stay up to date with emerging ML technologies and trends.

Qualification: Bachelor's or Master's degree in Computer Science,Engineering, or related field 4+ years of experience in data engineering or related field Strong experience with Python, SQL and ETL tools Strong experience with machine learning frameworks suchas scikit-learn, TensorFlow, or PyTorch Familiarity with cloud platforms such as AWS, Azure, orGCP Good to have – Knowledge of global equity market,historical stock data. Strong understanding of data modeling, data warehousing,and data management best practices Ability to work independently as well as collaborativelyin a team environment. Strong problem-solving skills and attention on to detail Excellent communication on and interpersonal skills