Artificial Intelligence/Machine Learning Engineer

Description

We are looking for an AI/ML Engineer to design, develop, and deploy machine learning models that drive predictive analytics, classification, computer vision, and NLP solutions. You will collaborate with cross-functional teams to turn complex data into actionable insights using state-of-the-art ML frameworks.

Key Responsibilities

• Develop, train, and deploy machine learning and deep learning models using TensorFlow, PyTorch, or Keras.
• Implement predictive analytics, classification, computer vision, and NLP solutions.
• Optimize model performance, accuracy, and scalability in production environments.
• Collaborate with data scientists, engineers, and stakeholders to translate business

requirements into ML solutions.

• Stay updated with emerging AI/ML technologies and apply best practices to model development.

Required Qualifications

• Strong proficiency in Python and experience with libraries such as NumPy, Pandas, and Scikit-learn.
• Hands-on experience with TensorFlow (preferred) or PyTorch.
• Experience with both frameworks is a strong advantage.
• Solid understanding of machine learning and deep learning concepts, model evaluation, and deployment processes.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. Description :

We are looking for an AI/ML Engineer to design, develop, and deploy machine learning models that drive predictive analytics, classification, computer vision, and NLP solutions. You will collaborate with cross-functional teams to turn complex data into actionable insights using state-of-the-art ML frameworks.

Key Responsibilities

• Develop, train, and deploy machine learning and deep learning models using TensorFlow, PyTorch, or Keras.
• Implement predictive analytics, classification, computer vision, and NLP solutions.
• Optimize model performance, accuracy, and scalability in production environments.
• Collaborate with data scientists, engineers, and stakeholders to translate business

requirements into ML solutions.

• Stay updated with emerging AI/ML technologies and apply best practices to model development.

Required Qualifications

• Strong proficiency in Python and experience with libraries such as NumPy, Pandas, and Scikit-learn.
• Hands-on experience with TensorFlow (preferred) or PyTorch.
• Experience with both frameworks is a strong advantage.
• Solid understanding of machine learning and deep learning concepts, model evaluation, and deployment processes.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.