
Lead Artificial Intelligence Engineer
7 hours ago
Key Responsibilities
Develop and Deploy Artificial Intelligence Solutions:
• Develop, train, and deploy machine learning models for real-world business applications.
• Collaborate with data science teams to define ML use cases and deliver actionable insights.
• Clean, preprocess, and analyze structured and unstructured data using statistical techniques and machine learning algorithms.
• Monitor and evaluate model performance, improve accuracy, and retrain models as needed.
• Build and manage end-to-end AI pipelines, including feature engineering, model training, deployment, and monitoring.
Required Skills and Qualifications:
• 2–3 years of experience in Machine Learning/Data Science roles.
• Experience with cloud-based data services, Azure Machine Learning SDK, or related tools.
• Strong programming skills in Python, with proficiency in ML libraries like scikit-learn, TensorFlow, or PyTorch.
Benefits:
Enjoy a dynamic work environment that fosters innovation and collaboration. Participate in ongoing training and professional development opportunities.
What We Offer:
Competitive salary and benefits package.
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