Data Science/Machine Learning Engineer

Role Overview: You will be expected to have proficiency in Python and a strong knowledge and experience of machine learning techniques, specifically in areas such as natural language processing, classification, recommenders, and clustering. Additionally, you should have knowledge and experience of prompting Large Language Models (LLMs) for NLP tasks like classification, creative generation, and reasoning. Experience with data processing techniques and tools like Spark, Airflow, Azure AI Foundry, and cloud platforms like Azure will be an advantage. Key Responsibilities: - Demonstrate proficiency in Python programming language. - Apply machine learning techniques such as natural language processing, classification, recommenders, and clustering. - Utilize Large Language Models (LLMs) for NLP tasks like classification, creative generation, and reasoning. - Employ data processing techniques and tools like Spark, Airflow, Azure AI Foundry, and cloud platforms like Azure. Qualifications Required: - Proficiency in Python programming language. - Strong knowledge and experience of machine learning techniques. - Familiarity with data processing tools like Spark, Airflow, Azure AI Foundry, and Azure cloud platforms. (Note: No additional details about the company were provided in the job description.),