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Job Type

Full Time

Job Description

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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