Data Engineer-Machine Learning

**Your Role and Responsibilities:** As a Data Engineer with expertise in Machine Learning, you will apply Machine Learning concepts and techniques to address business challenges. You will leverage your skills to drive informed decision-making in the organization. **Your primary responsibilities will include:** - Develop Machine Learning Solutions: Apply Machine Learning concepts and techniques to address business challenges, interpreting statistical data and identifying relevant features to inform solution development. - Evaluate Algorithm Performance: Choose appropriate algorithms and evaluate their performance using relevant metrics, ensuring that solutions meet business needs and drive informed decision-making. - Communicate Results: Clearly communicate the results of Machine Learning initiatives to stakeholders, providing actionable insights that inform business decisions. - Implement Machine Learning Techniques: Collaborate with stakeholders to implement Machine Learning techniques that drive business value, selecting and applying relevant methodologies to achieve desired outcomes. **Required Education:** Bachelor's Degree **Preferred education** Master's Degree **Required Technical and Professional Expertise:** - Exposure to Machine Learning Concepts: Familiarity with applying Machine Learning concepts and techniques to address business challenges, including interpreting statistical data and identifying relevant features. - Algorithm Development Experience: Experience working with algorithms, including choosing appropriate algorithms and evaluating their performance using relevant metrics. - Data Analysis Skills: Ability to interpret statistical data and identify relevant features to inform solution development. - Machine Learning Implementation: Exposure to implementing Machine Learning techniques, including collaborating with stakeholders to select and apply relevant methodologies. - Technical Communication: Experience communicating complex technical results to stakeholders, providing actionable insights that inform business decisions. **Preferred Technical and Professional Experience:** - Advanced Algorithm Development: Experience working with complex algorithms, including evaluating their performance using relevant metrics and fine-tuning for optimal results. - Data Visualization Techniques: Exposure to data visualization tools and techniques, enabling effective communication of Machine Learning results to stakeholders. - Specialized Machine Learning Tools: Familiarity with specialized Machine Learning tools and technologies, such as those used for natural language processing or computer vision. ****Years of Experience:**** 8 - 10 Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.