Ml Engineer

OverviewNineTwoThree AI Studio is a remote-first product design, engineering, and marketing studio, founded in 2012 and based in Boston.We build AI-powered web and mobile apps for big brands and fast-moving startups.We operate with clear processes and strong leadership, moving quickly but delivering high-quality work.Our focus spans products with positive impact in domains such as sports, health, logistics, and nuclear.We do not work on gambling, adult entertainment, or crypto.We are a remote, global team with opportunities for career growth.RoleAs an ML Engineer at NineTwoThree, you will be at the forefront of integrating and optimizing ML technologies into our diverse range of projects.Your role involves researching, developing, and implementing machine learning models, particularly focusing on language models like GPT-4, and ensuring their seamless integration with our clients' applications.Technology StackTransformer modelsRAG (Retrieval-Augmented Generation)ReAct and LangChain for language model applicationsSupervised and Unsupervised MLVector databasesAWS for cloud computing and machine learning servicesFamiliarity with TensorFlow, PyTorch, or similar frameworksResponsibilitiesDevelop and maintain advanced machine learning models, particularly focusing on natural language processing and understandingImplement and optimize ML solutions for various client applicationsWork closely with the development team to integrate AI models into existing systemsExperiment with new models and techniques to improve performance and capabilitiesParticipate in code reviews, maintain high coding standards, and contribute to our internal knowledge baseStay abreast of the latest developments in AI and machine learningRequirementsKnowledge of Machine Learning fundamentalsBackground in integrating ML models into data-driven systemsExperience with Python and SQL, along with expertise in NLP and LLMsAbility to quickly adapt to new technologies and problem domainsFamiliarity with ML deployment and monitoringProven experience in machine learning and natural language processingAn understanding of general LLM architecture and limitations, as well as features of modern LLMsExperience with cloud computing services, preferably AWSProficiency in Python and familiarity with ML frameworks like TensorFlow or PyTorchExcellent problem-solving skills and ability to work independentlyStrong communication skills and ability to collaborate in a team environmentBachelor's or Master's degree in Computer Science, Engineering, or related fieldFluent in English for effective collaboration with our international teamBenefits100% remote jobPaid vacations, sick leave, and holidaysFlexible Working Hours: You can choose when to start your day.While we don't expect you to be available 24/7, our ML Engineers are often requested to meet and collaborate with clients in North America during East Coast business hours.Occasionally, calls with West Coast clients may occur around 12 PM PST; we strive to schedule meetings earlier in the day when possible.Accounting assistanceWell-being budgetReimbursement of expenses for professional development courses/certificationsHardware upon business needsCollaborative and innovative work environment with continuous opportunities for learning and growthHiring processWe value your time and ours and make the process fast and easy.Our interview process takes the following steps:1) a short interview with HR,2) a second technical interview with an ML Engineer and CTO (optional),3) a live coding technical interview, and4) an offer.Join NineTwoThree Studio and be a part of a team that's shaping the future with AI.Seniority levelMid-Senior levelEmployment typeContractJob functionInformation TechnologyIndustriesIT Services and IT Consulting#J-18808-Ljbffr