MABASA / LINKEDIN
Artificial Intelligence Developer
Rosemallow Technologies Pvt Ltd
- Location
- Singapore
- Work type
- fulltime
- Source publication date
- Original publication date not confirmed
- Source closing date
- Not supplied — check original advert
Job description from the source
Job Summary We are looking for a skilled AI/ML Engineer with at least 2 years of hands-on experience in developing, implementing, and optimizing machine learning models and AI-powered solutions. The ideal candidate should have strong Python programming skills, a good understanding of machine learning algorithms, and experience working with real-world datasets. Key Responsibilities - Develop, train, test, and deploy machine learning models for business applications. - Collect, clean, preprocess, and analyze structured and unstructured data. - Build and optimize ML algorithms using appropriate frameworks and libraries. - Work with Generative AI, Large Language Models (LLMs), or NLP solutions where applicable. - Evaluate model performance and improve accuracy, scalability, and efficiency. - Collaborate with software engineers, data engineers, and business stakeholders. - Develop APIs and integrate AI/ML models into existing applications. - Monitor deployed models and maintain technical documentation. Required Skills - Minimum 2 years of hands-on experience in AI/ML development. - Strong programming skills in Python. - Experience with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch. - Knowledge of supervised and unsupervised learning algorithms. - Experience with data processing and analysis using Pandas and NumPy. - Understanding of statistics, probability, and model evaluation techniques. - Familiarity with SQL and data handling. - Knowledge of REST APIs and model deployment. - Good analytical, problem-solving, and communication skills. Preferred Skills - Experience with Generative AI, LLMs, NLP, or Retrieval-Augmented Generation (RAG). - Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. - Knowledge of Docker, Git, and ML deployment or MLOps practices. Education Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
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