Artificial Intelligence Engineer - Machine Learning/Deep Learning

Responsibilities : - Design and develop scalable and robust AI models and algorithms. - Implement and optimize machine learning and deep learning models for various applications. - Develop and deploy AI-powered applications and services. - Integrate AI solutions with existing systems and platforms. - Conduct research and experimentation to explore new AI techniques and methodologies. - Stay up-to-date with the latest advancements in AI research and development. - Contribute to the development of intellectual property and patents. - Identify and evaluate emerging AI technologies. - Design and implement data pipelines for AI model training and deployment. - Manage and optimize large datasets for AI applications. - Ensure data quality and integrity. - Collaborate with data engineers to build robust data infrastructure. - Deploy AI models to production environments. - Monitor and optimize model performance. - Implement model versioning and management strategies. - Ensure scalability and reliability of AI systems. - Collaborate with cross-functional teams, including product managers, software engineers, and researchers. - Communicate complex technical concepts clearly and concisely to both technical and non-technical audiences. - Participate in technical reviews and presentations. - Provide technical leadership and guidance to junior AI engineers. - Mentor and train team members on AI best practices and technologies. - Contribute to architectural decisions and technology : - Experience : 7 years of professional experience in AI engineering or related fields. - Deep expertise in machine learning and deep learning algorithms and techniques. - Experience with relevant AI frameworks and libraries (TensorFlow, PyTorch, scikit-learn). - Experience with NLP, computer vision, or other specialized AI domains. - Strong proficiency in Python and other relevant programming languages. - Experience with software development best practices. - Experience with data pipelines and data management. - Knowledge of database systems and data warehousing. - Strong analytical and problem-solving skills. - Excellent written and verbal communication : - Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related Qualifications : - Experience with cloud-based AI platforms (AWS, Azure, GCP). - Experience with distributed computing and parallel processing. - Experience with deploying AI models to production environments. - Publications in AI conferences or journals (ref:hirist.tech)

Location: vadodara, IN

Posted Date: 5/8/2025