Tasks
- Develop and implement machine learning models and algorithms to enhance AI-driven solutions for clients.
- Collaborate with cross-functional teams to integrate AI capabilities into existing software products and services.
- Analyze large datasets to extract meaningful insights and optimize the performance of AI models.
- Stay updated with the latest advancements in AI and machine learning technologies to ensure the company remains at the forefront of innovation.
- Document and present findings methodologies and results to both technical and non-technical stakeholders.
Requirements
- Bachelors or Masters degree in Computer Science Engineering or a related field.
- Proven experience in developing and deploying machine learning models in a production environment.
- Strong proficiency in programming languages such as Python R or Java and familiarity with machine learning libraries such as TensorFlow PyTorch or Scikit-learn.
- Excellent problem-solving skills and the ability to work collaboratively in a team-oriented environment.
- Strong understanding of AI and machine learning concepts including supervised and unsupervised learning neural networks and natural language processing.
TasksDevelop and implement machine learning models and algorithms to enhance AI-driven solutions for clients.Collaborate with cross-functional teams to integrate AI capabilities into existing software products and services.Analyze large datasets to extract meaningful insights and optimize the perfor...
Tasks
- Develop and implement machine learning models and algorithms to enhance AI-driven solutions for clients.
- Collaborate with cross-functional teams to integrate AI capabilities into existing software products and services.
- Analyze large datasets to extract meaningful insights and optimize the performance of AI models.
- Stay updated with the latest advancements in AI and machine learning technologies to ensure the company remains at the forefront of innovation.
- Document and present findings methodologies and results to both technical and non-technical stakeholders.
Requirements
- Bachelors or Masters degree in Computer Science Engineering or a related field.
- Proven experience in developing and deploying machine learning models in a production environment.
- Strong proficiency in programming languages such as Python R or Java and familiarity with machine learning libraries such as TensorFlow PyTorch or Scikit-learn.
- Excellent problem-solving skills and the ability to work collaboratively in a team-oriented environment.
- Strong understanding of AI and machine learning concepts including supervised and unsupervised learning neural networks and natural language processing.
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