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Application Specialist, Ai/ml

1 month ago

Malaysia NodeFlair Full time

**Job Summary**:
**Job Type**

**Seniority**

**Years of Experience**
Information not provided

**Tech Stacks**
TensorFlow AWS PyTorch Git Azure Java Spark Scala Hadoop Python

**_Job Responsibilities:_**
- Design, develop, and deploy scalable AI/ML solutions to address business challenges and opportunities.
- Collaborate with data scientists, engineers, and business stakeholders to understand requirements and translate them into technical solutions.
- Implement best practices for data preprocessing, feature engineering, model training, evaluation, and deployment.
- Optimize algorithms and models for performance, accuracy, and scalability.
- Conduct research and stay updated on the latest advancements in AI/ML technologies and methodologies.
- Troubleshoot and resolve technical issues related to AI/ML systems in production.
- Contribute to the development of reusable components, frameworks, and libraries to accelerate AI/ML development across the organization.

**_
Job Requirement:_**
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Solid understanding of machine learning algorithms, data structures, and software engineering principles.
- Proven experience in software development, with a focus on AI/ML.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark).
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Familiarity with software development tools and version control systems (e.g., Git, Jira).
- Knowledge of distributed computing and parallel processing techniques.
- Excellent communication and interpersonal skills & ability to collaborate effectively with cross-functional teams.
- Strong analytical thinking and problem-solving abilities & adaptability and willingness to learn new technologies.
- Ability to work independently and manage multiple tasks simultaneously.
- Required Tool and Program Proficiency - Python, Java, or Scala, TensorFlow, PyTorch, scikit-learn.
- Cloud platforms (AWS, Azure, GCP), Big data technologies (Hadoop, Spark), Git, Jira.