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Durucooperation is seeking an experienced AI/ML Engineer to design, train, and deploy advanced ML/DL solutions in production. The role demands hands-on Python expertise, TensorFlow or PyTorch, and strong data preprocessing, model evaluation, and deployment skills across scalable environments.
You will work with cross-functional teams to translate business needs into robust AI applications, monitor model performance, and stay abreast of emerging AI technologies and best practices in a fast-paced
We are looking for an experienced AI/ML Engineer with 7+ years of hands‑on experience in developing, fine‑tuning, and deploying Machine Learning and Deep Learning solutions. The ideal candidate should have strong expertise in Python, ML/DL frameworks, Generative AI, LLMs, NLP, and/or Computer Vision, along with experience taking AI models into production.
Design, build, train, fine‑tune, and optimize Machine Learning and Deep Learning models using Python.
Perform data preprocessing, cleaning, feature engineering, statistical analysis, and model evaluation.
Develop AI‑driven solutions using LLMs, Generative AI, NLP, Prompt Engineering, and Computer Vision.
Deploy and integrate ML models into production environments with focus on scalability, reliability, and performance.
Develop clean, maintainable, and well‑documented code following Git and CI/CD best practices.
Collaborate with engineering, data science, and product teams to translate business requirements into scalable AI solutions.
Monitor model performance and continuously improve models and AI applications.
Research and evaluate emerging AI/ML technologies, frameworks, and industry best practices.
7+ years of professional experience in AI/ML, Machine Learning, or related engineering roles.
Strong hands‑on expertise in Python and programming fundamentals.
Proven experience in developing, training, and fine‑tuning ML/DL models.
Strong knowledge of data preprocessing, feature engineering, statistics, and model evaluation.
Hands‑on experience deploying ML models into production.
Practical experience with TensorFlow and/or PyTorch.
Exposure to at least one or more of LLMs, Generative AI, NLP, Prompt Engineering, or Computer Vision.
Working knowledge of Git and CI/CD pipelines.
Strong analytical, problem‑solving, collaboration, and communication skills.