AI Engineer & Data Scientist

Role Overview: As an AI Engineer, your main responsibility will be to design, develop, and deploy AI and ML models for real-world applications. You will optimize algorithms for performance and scalability, integrate AI solutions into existing systems, and work on NLP, Computer Vision, and Predictive Analytics projects. It is essential to stay updated with the latest AI frameworks, tools, and research trends. Key Responsibilities: - Design, develop, and deploy AI and ML models for real-world applications. - Optimize algorithms for performance and scalability. - Integrate AI solutions into existing systems and workflows. - Work on NLP, Computer Vision, and Predictive Analytics projects. - Stay updated with the latest AI frameworks, tools, and research trends. Qualifications Required: - Proficiency in Python, TensorFlow, PyTorch, or Keras. - Strong understanding of machine learning, deep learning, and data science concepts. - Knowledge of cloud platforms (AWS, GCP, or Azure) is a plus. - Excellent problem-solving and analytical skills. Additional Details: The company offers benefits such as flexible schedule, paid sick time, paid time off, Provident Fund, and work from home option. (Note: The above job description is for an AI Engineer position with 4+ years of experience or freshers with exceptional skills.),