AI/ML Data Analyst

As an AI/ML Data Analyst at our company, you will have the opportunity to develop and deploy machine learning models, optimize data pipelines, and drive AI-driven innovation. Your expertise in machine learning, artificial intelligence, automation, and data engineering will be crucial for this role. You will work with structured and unstructured data, utilizing Node JS, Python, SQL, and data scraping techniques to extract and preprocess data efficiently. Your responsibilities will include developing and deploying machine learning models for predictive analytics and automation, building and optimizing data pipelines using SQL and Python, and implementing data scraping techniques to extract data from various sources. You will collaborate with data engineers and product teams to integrate AI/ML solutions into existing systems, optimize model performance, and stay updated with the latest advancements in AI, ML, and data engineering. To succeed in this role, you will need a Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field, along with 3-6 years of relevant experience in a SaaS or IT Product Development company. Proficiency in Data Analysis using NodeJS and Python, experience with AI-based Python notebooks, data interrogation techniques, and database technologies are essential. Hands-on experience in building and deploying ML models based on classification algorithms, knowledge of cloud platforms, and strong problem-solving skills are also required. Preferred skills include basic knowledge of data warehousing, experience in LLMs, Generative AI, or Transformer-based architectures, exposure to distributed computing and cloud infrastructure, and contributions to open-source AI projects, research publications, or Kaggle competitions. Please note that this job description is not exhaustive and duties, responsibilities, and activities may change with or without notice.,