Data Research Engineer - AI/ML

Job Description Role Overview As a Data Research Engineer at Forbes Advisor, you will be part of the Data Extraction Team responsible for designing, implementing, and overseeing advanced web scraping frameworks. Your primary role will involve developing methods to leverage the potential of Language Model (LLM) and Artificial Intelligence (AI) within the team. You will play a crucial role in creating and refining tools to efficiently gather precise and meaningful data from various digital platforms. Additionally, you will be responsible for constructing robust data pipelines and implementing Extract, Transform, Load (ETL) processes to ensure data availability for analysis and utilization. Key Responsibilities - Develop methods to leverage the potential of LLM and AI within the team. - Proactively find new solutions to engage the team with AI/LLM and streamline processes. - Be a visionary with AI/LLM tools and predict how future technologies can be harnessed early on. - Assist in acquiring and integrating data from various sources, including web crawling and API integration. - Stay updated with emerging technologies and industry trends. - Explore third-party technologies for efficient data pipelines. - Contribute to cross-functional teams in understanding data requirements. - Assume accountability for achieving development milestones. - Prioritize tasks to ensure timely delivery in a fast-paced environment. - Collaborate with fellow members of the Data Research Engineering Team. - Leverage online resources effectively for problem-solving. Qualifications Skills and Experience - Bachelor's degree in Computer Science, Data Science, or a related field (Higher qualifications are a plus). - Think proactively and creatively about using AI/LLM technologies for the team's and company's benefits. - Experience with LLMs and streamlined prompting. - Proficient in Python programming. - Strong proficiency in SQL and data querying. - Experience in AI/ML engineering and data extraction. - Familiarity with LLMs, NLP frameworks, and machine learning frameworks. - Design and build AI models using LLMs. - Collaborate with the team to implement and optimize AI solutions. - Familiarity with Agile development methodologies. - Strong problem-solving and analytical skills. - Creative and critical thinking abilities. - Effective communication skills. - Experience with version control systems like Git. - Comfortable working independently and in a fast-paced environment. (Note: Additional details about the company perks have been omitted as they were not provided in the job description),