Full-Time Artificial Intelligence (AI) Engineer

• Develop, train, and deploy machine learning (ML) and deep learning models.
• Design scalable data pipelines and preprocess datasets.
• Collaborate with cross-functional teams to integrate AI models.
• Research and implement state-of-the-art algorithms for NLP, computer vision, predictive analytics, and generative AI.
• Conduct error analysis and improve models to address bias, fairness, and explainability.
• Document technical processes and results.

• Proficiency in programming languages like Python, R, or Java.
• Hands-on experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Strong knowledge of data preprocessing, feature engineering, and model evaluation metrics.
• Expertise in at least one domain: Natural Language Processing (NLP), Computer Vision, Reinforcement Learning, Generative AI (e.g., GPT, Stable Diffusion)
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for model deployment.
• Strong grasp of mathematics and statistics (e.g., linear algebra, probability, optimization).
• Ability to explain complex AI concepts to non-technical stakeholders.
• Strong problem-solving and critical-thinking skills.
• Passion for continuous learning and staying updated with the latest AI trends.

• Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Industry certifications in AI/ML (e.g., AWS AI/ML Certification, Coursera AI Specializations).
• Previous experience in sectors like healthcare, finance, retail, or autonomous systems is a plus.

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