Requirements
Bachelor's degree in Computer Science, AI, Data Science, or Engineering. 3+ years of professional experience in AI/ML engineering. Strong Python programming skills and experience with ML/DL frameworks (PyTorch, TensorFlow, Scikit-learn). Experience with Generative AI, LLMs, RAG, prompt engineering, or AI agents is highly desirable. Familiarity with cloud AI/ML platforms and MLOps is a plus. Strong analytical, problem-solving, communication, and teamwork skills.
Description
ResponsibilitiesDesign, develop, and deploy AI/ML solutions for business and operational use cases.Develop and integrate machine learning and deep learning models into applications and platforms.Work with Generative AI, Large Language Models (LLMs), NLP, and AI agents where applicable.Build AI solutions using Python and relevant AI/ML frameworks and libraries.Develop and integrate AI APIs and services into enterprise applications.Perform data preparation, model training, evaluation, optimization, and monitoring.Collaborate with software engineers, data teams, business analysts, and stakeholders to translate requirements into AI solutions.Ensure AI solutions are scalable, reliable, secure, and suitable for production environments.Stay up to date with emerging AI technologies, tools, frameworks, and industry best practices.Prepare technical documentation and contribute to AI architecture and solution design.Qualifications:Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.3+ Yrs of professional experience in AI/ML engineering or a related role.Strong programming skills in Python.Hands-on experience with machine learning and deep learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.Experience with Generative AI, LLMs, RAG, prompt engineering, and/or AI agents is highly desirable.Experience working with APIs, databases, and integrating AI models into enterprise applications.Good understanding of machine learning algorithms, model evaluation, and data processing techniques.Familiarity with cloud AI/ML platforms such as Azure AI, AWS, or Google Cloud is a plus.Knowledge of Docker, Git, CI/CD, and MLOps is a plus.Strong analytical, problem-solving, communication, and teamwork skills.