Machine Learning Engineer Internship - NLP Focused

About Company GENIE is an applied AI lab developing Assistive Intelligence (AI) solutions for businesses, governments, and non-profits. Our focus is on translating the massive potential of GenAI, RPA, and AR/VR technologies into a measurable competitive advantage. We firmly believe in the future of interactive technology and view cognition as its most capable instrument. With a track record of firsts, we've partnered with category-leading businesses to pilot ALBIS Experience Studio™. About Team GENIE comprises a winning team of Subject Matter Experts with over 20 years of specialization in ML/AI, offering world-class strategy, engineering, and design. Our team includes 42+ executives, business experts, ML engineers, RPA engineers, security engineers, data engineers, product designers, researchers, testers, content creators, and sales professionals. About the Product ALBIS™ A DIY Experience Studio built for anyone to create and manage experiences across physical, digital, and virtual spaces. ALBIS takes experience to a whole new level using advanced technologies, such as Generative AI, Robotic Automation, IoT, AR/VR, and other sensory elements to enable actions like real-time data checks, outcome prediction, task automation, and autopilot activation. What’s in it for you? Opportunity and experience working at the forefront of an AI SaaS platform. Rocket growth driven by future technologies; Disrupting global industries; Global multi-team collaboration. Hands-on experience in a fast-paced and dynamic work environment. Work closely with experienced professionals and receive mentorship. Exposure to a variety of projects and the opportunity to contribute to impactful solutionss. Networking opportunities within the industry. Internship Completion Certification. Role: Machine Learning Engineer Internship - NLP Focused Location: Remote Duration: 4 months unpaid internship with the potential to convert to a full-time opportunity Role Summary: We are seeking a passionate Machine Learning Engineer Intern with interest in NLP chatbot development. As an ML Engineer Intern, you will be responsible for designing, developing, and training chat solutions to automate conversations and enhance user experience. The ideal candidate will have a strong background in Python programming language, experience in NLP libraries such as NLTK, spaCy or Transformers, and a proven track record of successful chatbot project delivery. Responsibilities: • Design, develop and implement chatbot solutions to automate conversations and improve user experience • Analyze business processes and identify automation opportunities • Develop and maintain chatbot workflows using Python, NLP libraries, and web-based integration scripts • Collaborate with business users to gather requirements and provide technical expertise to chatbot projects • Ensure quality and performance of chatbot solutions • Provide technical support for chatbot solutions and troubleshoot issues • Ensure adherence to security and compliance policies • Stay up-to-date with emerging chatbot technologies and industry trends • Develop and maintain project documentation, including design documents, test plans, and user manuals Qualifications: • Bachelor's degree in Computer Science, Information Technology, or a related field • Minimum of 3 years of experience in chatbot development and implementation • Strong proficiency in Python programming language • Experience in NLP libraries such as NLTK, spaCy or Transformers • Knowledge of chatbot development tools such as Dialogflow, Botpress, or Rasa • Strong analytical and problem-solving skills • Excellent communication and interpersonal skills • Ability to work independently and in a team environment • Strong attention to detail and ability to multitask • Experience in project management and project delivery methodologies is a plus • If you have a passion for automation and enhancing user experience through chatbot solutions, we encourage you to apply for this position. GENIE AI is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law). Apply tot his job