Full Automation Tester

As an AI Engineer at our company, your role will involve designing, deploying, and scaling AI solutions across various domains. You should possess a combination of machine learning expertise, software engineering skills, client-facing experience, and the ability to collaborate effectively with teammates. Even with less than 2 years of industry experience, you should be able to excel in this role. **Key Responsibilities:** - Develop and deploy AI/ML pipelines for predictive analytics, classification, and recommendation systems. - Implement scalable AI solutions using cloud platforms such as AWS, GCP, or Azure and MLOps tools. - Apply SOLID principles to build robust, maintainable, and scalable AI systems. - Collaborate with data engineers and product teams to integrate AI into production systems. - Optimize ML models for performance, scalability, and reliability. - Monitor, evaluate, and retrain models for continuous improvement. - Provide training and support to teammates to enhance AI/ML knowledge within the team. - Participate in AI client calls and projects, ensuring technical clarity and successful delivery. - Support collaborative brainstorming and contribute to team-wide problem-solving. **Qualifications Required:** - Bachelors/Masters degree in Computer Science, Data Science, AI/ML, or related field. - Minimum 12 years of industrial experience in AI/ML engineering. - Proficiency in Python, SQL, and ML frameworks like scikit-learn, PyTorch, TensorFlow. - Experience with model deployment, APIs, and cloud environments. - Knowledge of MLOps practices including Docker, CI/CD, and monitoring. - Strong understanding of data structures, algorithms, and software engineering principles. - Familiarity with SOLID principles for maintainable software design. - Excellent communication skills, ability to train peers, and collaborate effectively with teams. - Ability to engage with clients, present solutions, and manage project deliverables. (Note: The additional details of the company were omitted as they were not present in the provided JD),