Machine Learning Engineer
20 hours ago
About the Role:
XHire is seeking an experienced AI Model Developer to join our team. As a key member of our data science group, you will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex business problems.
Key Responsibilities:
- Design, develop, and deploy machine learning models and algorithms to solve complex business problems.
- Implement MLOps best practices to ensure robust, scalable, and maintainable machine learning pipelines.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Monitor and optimize the performance of machine learning models in production.
- Develop and maintain automated testing, continuous integration, and continuous deployment (CI/CD) pipelines for machine learning models.
- Ensure data quality and integrity throughout the machine learning lifecycle.
- Stay up-to-date with the latest advancements in machine learning, MLOps, and related technologies.
Qualifications:
- 4+ years of experience in machine learning and data science.
- Proven experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, TFX).
- Strong programming skills in Python and familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
- Solid understanding of software engineering principles, including version control (e.g., Git), testing, and code reviews.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
Salary Range: $120,000 - $180,000 per year.
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