
Advanced Machine Learning Specialist
19 hours ago
This is a machine learning engineer role that involves working on cutting-edge technologies and contributing to transformative business solutions in a dynamic and collaborative environment.
- Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
- Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
- Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
- Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
- Work closely with software engineers and DevOps teams to deploy models in production environments.
- Implement APIs and integrate models into existing systems to enable real-time decision-making.
- Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
- Continuously refine models and algorithms based on user feedback and performance metrics.
Key Responsibilities:
- Develop innovative machine learning models and algorithms.
- Collaborate with cross-functional teams to achieve business goals.
- Deploy models in production environments.
- Integrate models into existing systems.
Required Skills and Qualifications:
- Min. Bachelor's Degree in Computer Science, Data Science, Statistics, Machine Learning, or a related field.
- At least 3-4 years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
- Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Strong understanding of statistical analysis, probability theory, and hypothesis testing.
Benefits:
- Opportunity to work on cutting-edge technologies.
- Chance to contribute to transformative business solutions.
- Dynamic and collaborative environment.
Others:
- Stay updated on advancements in machine learning and artificial intelligence.
- Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.
Technical Skills:
- TensorFlow
- Machine Learning
- Azure
- Artificial Intelligence
- Tuning
- PyTorch
- Python
- Statistics
- Data Science
- Visualization
- Scientific Computing
As a machine learning engineer, you will have the opportunity to work on cutting-edge technologies and contribute to transformative business solutions in a dynamic and collaborative environment.
Our team is committed to delivering high-quality results and driving innovation in the field of machine learning.
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