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1 day ago
We are seeking a skilled Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will design and develop machine learning models and algorithms to solve complex business challenges.
- Design and implement machine learning models and algorithms with Databricks, including predictive analytics, natural language processing, computer vision, and more.
- Lead the end-to-end development process, from data collection and preprocessing to model deployment and monitoring.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Optimize and fine-tune models for performance, accuracy, and scalability in a production environment.
- Stay up-to-date with the latest advancements in machine learning and AI, and apply them to improve existing systems.
- Contribute to the development of machine learning infrastructure, including data pipelines, model serving frameworks, and monitoring tools.
To be successful as a Machine Learning Engineer, you should have:
- Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field; PhD is a plus.
- 3+ years of experience in machine learning engineering or related fields.
- 2+ years of experience with Databricks.
- Proficiency in programming languages such as Python, R, or Java, with a strong understanding of machine learning libraries and frameworks (e.g. TensorFlow, PyTorch, scikit-learn).
- Experience with cloud platforms and MLOps tools, such as MLflow, for model deployment and monitoring.
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Excellent communication and collaboration skills, with a track record of working effectively in cross-functional teams.
We offer a competitive compensation package, comprehensive benefits, and opportunities for growth and development.
We value innovation, teamwork, and customer satisfaction, and we strive to create a work environment that supports these values.
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