Ai Engineer | Cross Identity Job in Cross Identity

Ai Engineer | Cross Identity

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Job Summary

Roles/Responsibilities: Collaborate with the team to understand project requirements and identify AI opportunities. Assist in developing AI models and algorithms using programming languages such as Python, Java, or C++. Working with Chat GPT and coming out with AI solutions to address various business requirements and challenges. Assist other stakeholders in preparing more effective and productive ChatGPT prompts Implement data preprocessing and feature engineering techniques to prepare datasets for training. Train and evaluate AI models using established frameworks and libraries, such as TensorFlow or PyTorch. Assist in optimizing AI models for performance, accuracy, and scalability. Participate in code reviews and contribute to the improvement of AI systems. Stay up-to-date with the latest advancements in AI technologies and share new findings with the team. Contribute to documentation and knowledge sharing efforts within the team. Skill Set Required: Bachelor s or Master s degree in Computer Science, Engineering, or a related field. Solid understanding of machine learning concepts and algorithms. Proficiency in at least one programming language, such as Python, Java, or C++. Familiarity with AI frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn. Knowledge of data preprocessing and feature engineering techniques. Strong problem-solving and analytical skills. Good communication and collaboration abilities. Passion for artificial intelligence and eagerness to learn and grow in the field. Experience in working with ChatGPT, various ChatGPT extensions and ChatGPT-based AI tools Preferred Qualifications: Prior coursework, projects, or internships in AI, machine learning, or data science. Familiarity with deep learning architectures and algorithms. Experience with version control systems, such as Git. Knowledge of cloud platforms, such as AWS, Azure, or Google Cloud. Understanding of natural language processing (NLP) techniques. Exposure to big data technologies and distributed computing frameworks.

Experience Required :

Fresher

Vacancy :

2 - 4 Hires

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