AI/ML Solutions Engineer

Job Description Responsibilities
Design and implement scalable AI/ML solutions for real-world business problems. Build end-to-end machine learning solutions from data collection and modeling to deployment and monitoring. Work on areas such as Generative AI, NLP, Personalization, Image Recognition, Speech Recognition, and Time Series Forecasting. Research and evaluate new AI/ML technologies and academic advancements. Develop production-grade AI deployment strategies on cloud platforms. Ensure code quality, testing, CI/CD integration, and system scalability. Collaborate with cross-functional teams and provide mentorship to junior team members. Requirements
Degree in Computer Science, AI, Data Science, Engineering, or related field. Experience in AI/ML model development and deployment. Strong knowledge of Python and AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience with cloud platforms (AWS, Azure, or GCP). Knowledge of MLOps, CI/CD, and scalable AI systems. ...