ML Engineer I

3 - 7 years

0 Lacs

Posted:3 days ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

**Job Description:** **Role Overview:** As an AI Engineer at our company, you will be a crucial part of our team, contributing significantly to the development and implementation of advanced AI solutions. You will work alongside AI Architects, Data Scientists, and delivery teams to bring cutting-edge AI concepts to fruition. **Key Responsibilities:** - **Model Development & Implementation:** - Design, develop, and implement machine learning models and AI algorithms, starting from prototyping to deployment in production. - **Data Engineering:** - Handle large and complex datasets, perform data cleaning, feature engineering, and develop data pipelines to prepare data for AI model training. - **Solution Integration:** - Integrate AI models and solutions into existing enterprise systems and applications, ensuring seamless functionality and performance. - **Model Optimization & Performance:** - Optimize AI models for performance, scalability, and efficiency, and monitor their effectiveness in production environments. - **Collaboration & Communication:** - Collaborate effectively with cross-functional teams, such as product managers, data scientists, and software engineers, to understand requirements and deliver impactful AI solutions. - **Code Quality & Best Practices:** - Write clean, maintainable, and well-documented code following best practices for software development and MLOps. - **Research & Evaluation:** - Stay informed about the latest advancements in AI/ML research and technologies, assessing their potential application to business challenges. - **Troubleshooting & Support:** - Provide technical support and troubleshooting for deployed AI systems, identifying and resolving issues promptly. **Qualification Required:** - 3-7 years of experience in developing and deploying AI/ML solutions. - Strong programming skills in Python or similar languages with extensive experience in AI/ML frameworks like TensorFlow, PyTorch, and scikit-learn. - Solid understanding of machine learning algorithms, deep learning concepts, and statistical modeling. - Experience with data manipulation and analysis libraries such as Pandas and NumPy. - Familiarity with cloud platforms like AWS, Azure, GCP, and their AI/ML services. - Experience with version control systems like Git and collaborative development workflows. - Excellent problem-solving skills and attention to detail. - Strong communication and teamwork abilities. - Bachelor's or master's degree in computer science, Engineering, Data Science, or a related field. *Note: Additional details of the company were not provided in the job description.*,

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