Data Engineer-Machine Learning

Overview

A career with IBM Consulting is centered around fostering enduring client relationships and promoting collaborative efforts on a global scale. You will engage with top-tier companies across various sectors, assisting them in navigating their hybrid cloud and AI transformations. Backed by our strategic alliances, advanced IBM technology, and Red Hat, you will possess the resources necessary to instigate significant change and enhance client outcomes. At IBM Consulting, a spirit of curiosity drives success. You will be encouraged to challenge existing paradigms, investigate innovative concepts, and develop creative solutions that yield tangible results. Our environment prioritizes growth and compassion, focusing on your long-term career advancement while appreciating your distinct skills and experiences.

Your Role and Responsibilities

As a Data Engineer specialized in Machine Learning, your role will involve utilizing Machine Learning principles and practices to tackle business challenges. Your expertise will be instrumental in facilitating data-driven decision-making within the organization.

Your Key Responsibilities Will Include

• Develop Machine Learning Solutions: Utilize Machine Learning concepts and methodologies to solve business problems, analyze statistical data, and identify key features that contribute to solution design.
• Evaluate Algorithm Performance: Select suitable algorithms and assess their effectiveness using pertinent metrics, ensuring that the solutions align with business objectives and enhance decision-making.
• Communicate Results: Effectively present the outcomes of Machine Learning projects to stakeholders, offering actionable insights that guide business strategies.
• Implement Machine Learning Techniques: Partner with stakeholders to execute Machine Learning strategies that create business value, choosing and applying suitable methodologies to achieve targeted results.
  
  

Preferred Education

Master's Degree

Required Technical and Professional Expertise

• Exposure to Machine Learning Concepts: Familiarity with the application of Machine Learning techniques to resolve business issues, including statistical data interpretation and feature identification.
• Algorithm Development Experience: Proven experience working with algorithms, including the selection of appropriate algorithms and performance evaluation using relevant metrics.
• Data Analysis Skills: Proficient in interpreting statistical data and pinpointing relevant features to guide solution development.
• Machine Learning Implementation: Experience in executing Machine Learning techniques, collaborating with stakeholders to identify and apply relevant methodologies.
• Technical Communication: Skilled in conveying complex technical findings to stakeholders, delivering actionable insights that support business decisions.
  
  

Preferred Technical and Professional Experience

• Advanced Algorithm Development: Experience with intricate algorithms, including performance evaluation through relevant metrics and optimization for enhanced results.
• Data Visualization Techniques: Knowledge of data visualization tools and methods, facilitating effective communication of Machine Learning outcomes to stakeholders.
• Specialized Machine Learning Tools: Familiarity with specialized Machine Learning technologies and tools, particularly those utilized in natural language processing or computer vision.