Sr. BI/DW Engineer
Role details
Job location
Tech stack
Job description
The Sr. Engineer will design, develop, and maintain BI/ML/AI solutions that empower data-driven decision-making across the organization. You will work closely with cross-functional teams, translating business needs into technical specifications and building intuitive data models using industry-leading BI tools like Power BI and Qlik. . Your contributions will be essential in turning complex data into actionable insights and powering our data-driven decision-making processes.
Responsibilities
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Develop, test, and deploy machine learning models for various use cases such as MACD's, Enterprise Defects within operations, etc.
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Work with large datasets and perform data preprocessing, feature engineering, and model selection.
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Collaborate with engineers, and product teams to define and deliver high-quality AI solutions.
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Implement machine learning pipelines for scalable model training and inference.
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Tune and optimize models for performance and efficiency, including hyperparameter tuning, model evaluation, and validation.
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Build robust and scalable BI solutions that facilitate data-driven decision-making processes across departments.
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Partner with business analysts, department heads, and other stakeholders to gather business requirements and translate them into detailed technical specifications.
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Create and maintain data models, ensuring data accuracy, consistency, and optimization across BI tools like Power BI and Qlik.
Requirements
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Bachelor's in Computer Science, Data Science, Machine Learning, or related field (or equivalent experience).
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2-4 years of experience working in machine learning, data science, or related roles.
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Proficiency in programming languages such as Python, R, or Java Script.
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Strong experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
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Familiarity with deep learning architectures and techniques (e.g., CNNs, RNNs, transformers).
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Solid understanding of algorithms, data structures, and model evaluation methods.
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Experience working with data manipulation libra