JD Fresher AI Engineer

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About the Role

We are looking for a passionate and talented AI Engineer (Fresher) to join our team. As an AI Engineer, you will work on cutting-edge artificial intelligence and machine learning solutions, contributing to the development of AI-driven applications and models. This is a great opportunity to start your career in AI and grow within a dynamic and innovative environment.

Key Responsibilities

Assist in designing, developing, and deploying AI and machine learning models.

Work with large datasets to preprocess, clean, and analyze data for AI applications.

Implement deep learning, computer vision, NLP, and other AI-based techniques.

Develop and optimize AI algorithms using frameworks like TensorFlow, PyTorch, and Scikit-learn.

Collaborate with data scientists, engineers, and business teams to integrate AI solutions into products.

Conduct experiments, fine-tune AI models, and evaluate model performance.

Stay updated with the latest trends in AI, ML, and deep learning technologies.

Participate in code reviews, documentation, and knowledge-sharing sessions.

Key Differentiators

JD Fresher AI Engineer

About the Role

Key Responsibilities

Key Differentiators

Required Skills

Strong knowledge of Python and familiarity with AI/ML libraries like TensorFlow, PyTorch, OpenCV, and Scikit-learn.

Strong knowledge of Python and familiarity with AI/ML libraries like TensorFlow, PyTorch, OpenCV, and Scikit-learn.

Understanding of machine learning concepts, deep learning architectures, and neural networks.

Understanding of machine learning concepts, deep learning architectures, and neural networks.

Basic knowledge of data preprocessing, feature engineering, and model evaluation.

Basic knowledge of data preprocessing, feature engineering, and model evaluation.

Hands-on experience with SQL and NoSQL databases.

Hands-on experience with SQL and NoSQL databases.

Familiarity with cloud platforms like AWS, Azure, or Google Cloud is a plus.

Familiarity with cloud platforms like AWS, Azure, or Google Cloud is a plus.

Good problem-solving skills and ability to work with unstructured data.

Good problem-solving skills and ability to work with unstructured data.

Strong analytical and communication skills.

Strong analytical and communication skills.

Educational Qualifications

Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.

AI/ML certifications (preferred but not mandatory).

Preferred Qualifications (Good to Have)

Knowledge of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.

Experience with AI-driven projects, Kaggle competitions, or research papers.

Exposure to MLOps, model deployment, and AI pipelines.

Why Join Us?

Work on real-world AI applications and projects.

Learn from industry experts and mentors.

Opportunity to grow and transition into senior AI roles.

Exposure to the latest AI technologies and research.

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