Job Details

Experience Needed:More Than 2 Years

Career Level:Experienced (Non-Manager)

Education Level:Bachelor's Degree

Salary:Confidential

Job Categories:

• IT/Software Development

Skills And Tools:

Artificial IntelligenceProblem SolvingMachine Learning (ML)Deep LearningNatural Language Processing (NLP)Generative AIData EngineeringFeature Engineering

Job Description

• Design, develop, and deploy AI models and algorithms to solve business problems and enhance product capabilities.
• Collaborate with cross-functional teams including data scientists, engineers, and product managers to integrate AI solutions into existing systems.
• Conduct data preprocessing, feature engineering, and exploratory data analysis to prepare datasets for modeling.
• Evaluate and optimize model performance using appropriate metrics and validation techniques.
• Stay up-to-date with the latest advancements in artificial intelligence, machine learning, and deep learning technologies.
• Document model architectures, processes, and results to ensure transparency and reproducibility.
• Implement best practices for version control, code quality, and model deployment in production environments.
• Troubleshoot and resolve issues related to data quality, model accuracy, and system integration.
• Contribute to the development of AI-driven tools, APIs, and frameworks to support internal and external stakeholders.
• Participate in code reviews, knowledge sharing sessions, and continuous improvement initiatives.

Job Requirements

• Minimum of 2 years of professional experience in artificial intelligence, machine learning, or a related field.
• Proven experience developing and deploying AI/ML models in production environments.
• Strong programming skills in Python or similar languages commonly used in AI development.
• Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience working with large datasets, data preprocessing, and feature engineering.
• Ability to work effectively in a remote environment and collaborate with distributed teams.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills for presenting technical concepts to non-technical stakeholders.
• Knowledge of best practices in software development, version control, and model lifecycle management.
• Demonstrated ability to stay current with emerging trends and technologies in AI.

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