ML Engineer I

As an AI Engineer at UST, you will be a vital part of our team, contributing to the development and deployment of cutting-edge AI solutions. Your role will involve collaborating with AI Architects, Data Scientists, and delivery teams to bring innovative AI concepts to life. **Key Responsibilities:** - **Model Development & Implementation:** Design, develop, and implement machine learning models and AI algorithms from prototyping to production deployment. - **Data Engineering:** Work with large and complex datasets, performing data cleaning, feature engineering, and data pipeline development for AI model training. - **Solution Integration:** Integrate AI models into existing enterprise systems and applications, ensuring seamless functionality. - **Model Optimization & Performance:** Optimize AI models for performance, scalability, and efficiency in production environments. - **Collaboration & Communication:** Effectively collaborate with cross-functional teams to deliver impactful AI solutions. - **Code Quality & Best Practices:** Write clean, maintainable code adhering to software development best practices. - **Research & Evaluation:** Stay updated with AI/ML research, evaluating technologies for business challenges. - **Troubleshooting & Support:** Provide technical support for deployed AI systems, resolving issues promptly. **Key Requirements:** - 3-7 years of experience in developing and deploying AI/ML solutions. - Strong programming skills in Python, with experience in AI/ML frameworks like TensorFlow and PyTorch. - Solid understanding of machine learning algorithms, deep learning concepts, and statistical modeling. - Experience with data manipulation libraries like Pandas and NumPy. - Familiarity with cloud platforms (AWS, Azure, GCP), version control systems (Git), and collaborative workflows. - Excellent problem-solving skills, attention to detail, communication, and teamwork abilities. - Bachelor's or master's degree in Computer Science, Engineering, Data Science, or related field. **Good to Have:** - Experience with MLOps practices and tools (MLflow, Kubeflow). - Familiarity with containerization technologies (Docker, Kubernetes), big data technologies (Spark, Hadoop). - Prior experience in IT services or product development, knowledge of specific AI domains (NLP, computer vision, time series analysis). As an AI Engineer at UST, you will have the opportunity to work with cutting-edge technologies and contribute to impactful AI solutions. Feel empowered to bring your expertise and creativity to our dynamic team. (Note: Omitted additional details about UST as it was not directly related to the job description),