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ML Engineer

Binocs.co

All India • 2 months ago

Experience: 3 to 7 Yrs

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Job Description

You are a motivated, brilliant, and passionate AI Engineer excited about utilizing AI to address real-world challenges and develop impactful products. You are never content with the status quo, enjoy challenging existing norms, and have a particular interest in AI, especially in prompt engineering with Large Language Models (LLMs) like ChatGPT. **Responsibilities:** - Spearhead the development and integration of AI technologies within the digital platform, with a focus on LLMs such as ChatGPT. - Collaborate closely with product and development teams to incorporate AI capabilities that enhance user experiences and business outcomes. - Innovate and implement prompt engineering techniques to refine interactions with LLMs. - Engage in High-Level Designs (HLDs) and Low-Level Designs (LLDs) to ensure scalable and robust AI solutions. - Mentor and lead discussions on best practices in AI development, staying updated on AI trends and technologies. - Ensure the reliability, security, and performance of AI implementations. - Explore new AI domains, displaying a willingness to learn and master emerging AI technologies. **Requirements:** - BE/BS/BTech/ME/MS/MTech in Computer Science, Engineering, or related field from reputable universities. - Possess 3+ years of AI development experience, specifically focusing on prompt engineering with LLMs like ChatGPT. - Demonstrated proficiency in programming languages essential for AI development and a strong passion for coding. - Solid grasp of AI principles, machine learning models, and the ability to apply them to create impactful solutions. - Knowledge of deep learning for computer vision and/or NLP. - Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and understanding of deploying AI solutions at scale. - Familiarity with DevOps practices for AI, including continuous integration and deployment (CI/CD) for AI models. **Good to have:** - Practical experience with microservices architecture and serverless computing. - Contributions to open-source projects or active involvement in AI development communities. - Experience working with LLMs and AI technologies outside of prompt engineering. This role falls under the Software Development industry and is a Full-time employment opportunity. You are a motivated, brilliant, and passionate AI Engineer excited about utilizing AI to address real-world challenges and develop impactful products. You are never content with the status quo, enjoy challenging existing norms, and have a particular interest in AI, especially in prompt engineering with Large Language Models (LLMs) like ChatGPT. **Responsibilities:** - Spearhead the development and integration of AI technologies within the digital platform, with a focus on LLMs such as ChatGPT. - Collaborate closely with product and development teams to incorporate AI capabilities that enhance user experiences and business outcomes. - Innovate and implement prompt engineering techniques to refine interactions with LLMs. - Engage in High-Level Designs (HLDs) and Low-Level Designs (LLDs) to ensure scalable and robust AI solutions. - Mentor and lead discussions on best practices in AI development, staying updated on AI trends and technologies. - Ensure the reliability, security, and performance of AI implementations. - Explore new AI domains, displaying a willingness to learn and master emerging AI technologies. **Requirements:** - BE/BS/BTech/ME/MS/MTech in Computer Science, Engineering, or related field from reputable universities. - Possess 3+ years of AI development experience, specifically focusing on prompt engineering with LLMs like ChatGPT. - Demonstrated proficiency in programming languages essential for AI development and a strong passion for coding. - Solid grasp of AI principles, machine learning models, and the ability to apply them to create impactful solutions. - Knowledge of deep learning for computer vision and/or NLP. - Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and understanding of deploying AI solutions at scale. - Familiarity with DevOps practices for AI, including continuous integration and deployment (CI/CD) for AI models. **Good to have:** - Practical experience with microservices architecture and serverless computing. - Contributions to open-source projects or active involvement in AI development communities. - Experience working with LLMs and AI technologies outside of prompt engineering. This role falls under the Software Development industry and is a Full-time employment opportunity.

Posted on: March 11, 2026

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