AI Engineer

7 days ago

Bengaluru, India In Time Tec Full time

Role: AI Engineer Mode : Full - time Location : Bangalore Work type : Work from office 5 days Key Responsibilities • Develop and implement machine learning models and other algorithms to solve business problems. • Design, build, and maintain scalable AI systems and infrastructure. • Collaborate with architects, data engineers, software engineers, and product managers to integrate AI solutions into products and services. June 13, 2024 • Conduct data analysis and preprocessing to ensure high-quality input for AI models. • Monitor and optimize the performance of AI models and systems, making adjustments as needed. • Stay updated with the latest developments in AI and machine learning technologies and incorporate them into ongoing projects. • Troubleshoot and debug AI-related issues in collaboration with cross-functional teams. • Document AI solutions, processes, and findings to ensure knowledge sharing and reproducibility. • Ensure the ethical use of AI technologies and compliance with industry standards. • Participate in code reviews and provide constructive feedback to peers. Qualifications • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. • 5+ years of experience in developing and deploying AI and machine learning models. • Proficiency in programming languages such as Python or Java is required. • Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). • Experience with cloud platforms like AWS, Azure, or Google Cloud. • Understanding of data preprocessing techniques and tools. • Strong problem-solving skills and the ability to analyze complex data. • Excellent communication skills to convey technical concepts to both technical and non-technical stakeholders. • Ability to work collaboratively in a team environment. • Commitment to continuous learning and staying updated with the latest AI advancements. • Familiarity with ethical considerations and best practices in AI development. • Relevant certifications in Data, ML, Software, or cloud platforms are a plus. • Fluency in English (equivalent to C1 or higher).

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