Senior Data Engineer - Machine Learning

IBM is hiring a Senior Data Engineer - Machine Learning to apply machine learning concepts and techniques to business challenges. The role includes developing and evaluating machine learning solutions, interpreting statistical data, communicating insights, and working with stakeholders to inform decisions.

Responsibilities:

• Develop Machine Learning Solutions: Design and implement Machine Learning models to solve complex business problems, selecting relevant features and algorithms to achieve desired outcomes
• Evaluate Algorithm Performance: Assess the effectiveness of Machine Learning algorithms using relevant metrics, identifying areas for improvement and optimizing model performance
• Interpret Statistical Data: Analyze and interpret complex statistical data to inform business decisions, communicating insights and recommendations to stakeholders
• Communicate Results: Clearly articulate the results of Machine Learning initiatives, providing actionable insights and recommendations to drive business outcomes
• Drive Informed Decision-Making: Collaborate with stakeholders to integrate Machine Learning insights into business decision-making processes, driving informed strategic choices

Requirements:

• Bachelor's Degree
• Proven ability to apply Machine Learning concepts and techniques to address complex business challenges, leveraging expertise in algorithm selection, feature engineering, and model optimization
• Skilled in interpreting and analyzing complex statistical data to inform business decisions, with the ability to identify relevant trends and patterns
• Experienced in evaluating the performance of Machine Learning algorithms using relevant metrics, with a strong understanding of optimization techniques to improve model performance
• Adept at clearly articulating the results of Machine Learning initiatives, providing actionable insights and recommendations to drive business outcomes
• Proven ability to collaborate with stakeholders to integrate Machine Learning insights into business decision-making processes, driving informed strategic choices
• you must have the ability to work without a need for current or future visa sponsorship
• Experience with developing and applying advanced statistical models to drive business insights, leveraging techniques such as regression analysis, time series forecasting, and hypothesis testing
• Familiarity with popular Machine Learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn, with the ability to design and implement scalable Machine Learning solutions
• Exposure to data visualization tools such as Tableau, Power BI, or D3.js, with the ability to effectively communicate complex data insights to stakeholders