AI Engineer – Remote

Job Description

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Key Responsibilities:

• Develop and implement AI and machine learning models for various applications (e.g., NLP, computer vision, recommendation systems).
• Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.
• Optimize and scale ML models for performance and efficiency in production environments.
• Deploy models using frameworks such as TensorFlow, PyTorch, or ONNX, and tools like Docker and Kubernetes.
• Build and maintain data pipelines and infrastructure to support AI solutions.
• Conduct research to stay updated on the latest trends and advancements in AI/ML.
• Perform model evaluation, A/B testing, and fine-tuning to improve accuracy and efficiency.
• Document processes, experiments, and code in a clear and maintainable manner.

Required Qualifications:

• Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or related field.
• 2+ years of experience in developing and deploying AI/ML models.
• Proficient in programming languages such as Python, Java, or C++.
• Strong understanding of machine learning algorithms, deep learning architectures, and statistical modeling.
• Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).

Preferred Qualifications:

• Experience with MLOps practices and tools (e.g., MLflow, Kubeflow).
• Understanding of data engineering and working with large-scale datasets.
• Knowledge of real-time ML systems and streaming data frameworks (e.g., Kafka, Spark).
• Contributions to open-source AI projects or research publications.

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