Artificial Intelligence Engineer

Core KRAs for an AI Engineer

• Develop and deploy AI/ML systems: Design, build, and implement the complex algorithms and networks that power AI applications, such as fraud detectors and recommendation engines.
• Data analysis and preprocessing: Analyze large datasets to extract insights and prepare data for machine learning models.
• Model deployment and monitoring: Put machine learning models into production and continuously monitor their performance for optimal operation.
• Collaboration: Work with other teams (e.g., product managers, software developers) to integrate AI into a larger product or system.
• Full-stack development: Contribute to both the front-end and back-end of AI-powered software, including testing and continuous integration.
• Continuous learning: Stay up-to-date with the latest advancements in AI, machine learning, and related technologies through continuous learning and skill development.
• Problem-solving: Apply strong problem-solving skills to overcome challenges in the development and deployment of AI solutions.
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• Artificial Intelligence Engineer Entry Level Jobs, Employment | IndeedYou'll partner on full stack of software products; developing and implementing frontends (web or mobile), and backend services. Yo...Indeed

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Job Types: Full-time, Permanent

Pay: ₹35,000.00 - ₹63,624.49 per month

Benefits:

• Cell phone reimbursement
• Provident Fund

Work Location: In person