Machine Learning Solutions Architect
3 days ago
Zen Technologies Limited seeks an experienced A.I./M.L. Engineer to lead the development of innovative machine learning solutions. The ideal candidate will have a strong background in machine learning frameworks, programming languages, and data analysis, coupled with excellent collaboration and problem-solving skills.
About You:
We're looking for a talented engineer who can drive innovation in machine learning model design, development, and deployment. As a key member of our team, you'll be responsible for designing, implementing, and optimizing machine learning models for various applications, developing and maintaining data pipelines, and staying up-to-date on the latest A.I./M.L. trends and techniques.
Key Responsibilities:
- Machine Learning Model Development: Design, implement, and optimize machine learning models for various applications, including prediction, classification, clustering, and recommendation systems.
- Data Analysis and Pipelining: Develop and maintain data pipelines, ensuring data is clean, reliable, and suitable for training and testing machine learning models.
- Tech Stays Current: Stay updated on the latest A.I./M.L. trends, techniques, and tools to drive innovation within the team.
- Integration and Collaboration: Collaborate with software engineers to integrate A.I./M.L. solutions into existing platforms and applications.
- Model Performance Monitoring: Monitor and analyze the performance of deployed models, implementing improvements as needed to maintain high accuracy and efficiency.
Requirements:
- Education: Bachelor's or Master's degree in Computer Science, Data Science, A.I./M.L., or a related field.
- Programming Skills: Strong programming skills in Python, R, or similar languages.
- Machine Learning Frameworks: Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Data Handling: Proficiency in working with large datasets and databases (SQL, NoSQL, etc.).
- Theoretical Foundations: Solid understanding of algorithms, data structures, and mathematical concepts (linear algebra, probability, statistics).
- Cloud Deployment: Experience with cloud platforms like AWS, Azure, or Google Cloud for A.I./M.L. deployment.
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