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Job Description: Forbes Advisor is a part of the Forbes Marketplace initiative aimed at providing consumers with journalist- and expert-written insights, news, and reviews covering personal finance, health, business, and lifestyle decisions. The primary goal is to empower consumers by offering them the necessary knowledge and research to make well-informed decisions they can trust, enabling them to focus on their priorities. Marketplace is committed to helping individuals achieve their goals by offering reliable advice and guidance. The team comprises industry experts with extensive experience in various domains such as Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology, and Sales. This diverse team collaborates to provide global coverage on topics like consumer credit, health, home improvement, banking, investing, and more. The Data Extraction Team is pivotal to the organization, responsible for developing and managing advanced web scraping frameworks. Their core responsibilities include creating efficient tools and methodologies to extract precise data from digital platforms. Moreover, the team focuses on building robust data pipelines and implementing Extract, Transform, Load (ETL) processes to ensure seamless data transfer for analysis and utilization. As a Data Research Engineer, you will play a crucial role in exploring the potential of AI/LLM technologies within the team. Your responsibilities will involve conceptualizing innovative ways to leverage AI tools, predicting future technology trends, acquiring data from various sources, and collaborating with cross-functional teams. Additionally, staying updated with emerging technologies and contributing to the development milestones are key aspects of this role. Responsibilities: - Develop strategies to harness the power of LLM and AI technologies within the team. - Proactively seek new solutions to integrate AI/LLM tools and streamline processes. - Anticipate future technology trends and explore their applications for the team's benefit. - Assist in acquiring and integrating data from different sources, including web crawling and API integration. - Stay abreast of emerging technologies and industry trends. - Collaborate with cross-functional teams to understand data requirements and achieve development milestones. - Prioritize tasks to ensure timely delivery in a fast-paced environment with changing priorities. - Support and collaborate with fellow members of the Data Research Engineering Team. - Effectively utilize online resources for problem-solving and knowledge enhancement. Qualifications: Skills and Experience - Bachelor's degree in Computer Science, Data Science, or related field (Higher qualifications preferred). - Proactive thinking towards integrating AI/LLM technologies for team and company benefits. - Experience in managing AI platforms and implementing AI models. - Proficiency in Python programming and SQL, with familiarity in web crawling and API integration. - Strong background in AI/ML engineering and data extraction, with expertise in LLMs and NLP frameworks. - Profound understanding of machine learning frameworks like TensorFlow and PyTorch. - Ability to design and build AI models using LLMs, integrate solutions via APIs, and optimize model performance. - Experience with Agile methodologies, version control systems, and collaborative development. - Excellent problem-solving, analytical, and communication skills, with a proactive and creative mindset. - Comfortable working independently and in a team-oriented environment. Perks: - Day off on the 3rd Friday of every month for extended weekends. - Monthly Wellness Reimbursement Program for promoting health and well-being. - Monthly Office Commutation Reimbursement Program. - Paid paternity and maternity leaves.,
