AI/ML DATA ENGINEER

Role Overview: You should be proficient in programming languages such as Python and R. You must have a strong understanding of machine learning algorithms and frameworks like TensorFlow, PyTorch, and scikit-learn. Experience with conversational AI platforms, especially Oracle Digital Assistant, is preferred. Additionally, you should have familiarity with data processing tools and platforms such as Apache Spark and Hadoop. Key Responsibilities: - Possess a strong understanding of machine learning algorithms and frameworks like TensorFlow, PyTorch, and scikit-learn - Be proficient in programming languages such as Python and R - Experience with conversational AI platforms, especially Oracle Digital Assistant, is preferred - Familiarity with data processing tools and platforms such as Apache Spark and Hadoop - Be familiar with Oracle Cloud Infrastructure (OCI) and its services for deploying ODA & AI/ML models - Experience with natural language processing (NLP) techniques and libraries like NLTK and SpaCy - Understanding deep learning architectures for NLP, such as transformers and BERT - Knowledge of containerization and orchestration tools like Docker and Kubernetes - Possess skills in statistical analysis and data visualization using the R-language Qualifications Required: - Proficient in programming languages such as Python and R - Strong understanding of machine learning algorithms and frameworks like TensorFlow, PyTorch, and scikit-learn - Experience with conversational AI platforms, especially Oracle Digital Assistant, is preferred - Familiarity with data processing tools and platforms such as Apache Spark and Hadoop - Familiar with Oracle Cloud Infrastructure (OCI) and its services for deploying ODA & AI/ML models - Experience with natural language processing (NLP) techniques and libraries like NLTK and SpaCy - Knowledge of containerization and orchestration tools like Docker and Kubernetes - Skills in statistical analysis and data visualization using the R-language Additional Details: This position is full-time and requires working the morning shift. Ideally, candidates should have at least 2 years of experience in AI/ML. The work location is in person.,