
Data Driven Innovator
5 days ago
This is a unique opportunity to contribute to the development of cutting-edge machine learning models that drive business outcomes.
About the Role:
- We are seeking an experienced Machine Learning Engineer to join our team, working closely with cross-functional teams to design and implement scalable solutions.
- The ideal candidate will have a strong background in machine learning engineering, proficiency in programming languages such as Python, R, or Java, and experience with cloud platforms and MLOps tools.
Key Responsibilities:
- Design and develop machine learning models using Databricks, leading the end-to-end development process from concept to deployment.
- Collaborate with data scientists, data engineers, and business stakeholders to build innovative solutions that meet business needs.
- Stay up-to-date with advancements in machine learning and AI, applying them to improve existing systems and processes.
- Contribute to the development of machine learning infrastructure, including data pipelines, model serving frameworks, and monitoring tools.
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or related field; PhD is a plus.
- 3+ years of experience in machine learning engineering or related fields.
- Proficiency in programming languages such as Python, R, or Java, with a strong understanding of machine learning libraries and frameworks.
- Experience with cloud platforms and MLOps tools, such as MLflow, for model deployment and monitoring.
Benefits:
This role offers a competitive salary package, comprehensive benefits, and opportunities for professional growth and development. You will be part of a dynamic team that values innovation, collaboration, and continuous learning.
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