
Senior Machine Learning Engineer
21 hours ago
Key Responsibilities
- Develop and apply data-driven solutions to enhance business decision-making and drive tangible value.
- Translate business needs into well-defined machine learning problem statements and solution workflows.
- Utilize analytics and machine learning techniques to solve complex business problems: Conduct exploratory data analysis, feature engineering, and model development to uncover insights and predict outcomes.
- Design, develop, and deploy ML models, including supervised and unsupervised learning algorithms and model performance optimization.
- Collaborate with teams to deliver robust, cloud-based solutions.
- Communicate data-driven insights to stakeholders at various stages of engagement.
- Stay current with AI, ML, and data engineering best practices and integrate them into project work.
- Mentor junior team members and foster a culture of continuous learning.
Job Requirements
- 4-7 years of experience in building ML solutions with a strong foundation in machine learning modeling and deployment.
- Strong exposure to banking, payments, fintech, or wealth management domains with experience working on problems related to marketing analytics, customer churn, credit risk assessment, and more.
- Bachelor's or Master's degree from a top technical institute or MBA from a top institution.
- Proficiency in Python and experience with AI/ML libraries.
- Experience with the end-to-end model development lifecycle and eagerness to learn.
- Strong problem-solving capabilities and effective communication skills.
- Ability to drive business impact through data science initiatives.
What We Offer
- A dynamic work environment that encourages innovation and collaboration.
- The opportunity to work on complex business problems and develop cutting-edge solutions.
- A competitive compensation package and comprehensive benefits.
About This Role
- This is a senior-level position that requires a strong background in machine learning and data science.
- The ideal candidate will have a proven track record of delivering successful ML projects and driving business impact through data-driven insights.
- They will be a natural leader who can mentor junior team members and contribute to a culture of continuous learning.
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