Machine Learning Engineer in Shelf

Machine Learning Engineer Вроцлав (Польща) About Shelf Shelf isrevolutionizing Generative AIbyoffering organizations asecure way toincorporate large language models toscale their knowledge, boost employee performance, and improve customer satisfaction. Our technology assesses, identifies issues, prioritizes improvements, and monitors content onacontinuous basis inorder toturn anorganization’s knowledge into aninfrastructure for Generative AIenablement. Our clients include Fortune 100 leaders across industries and continents, and weare inanexciting period ofhigh growth. Machine Learning Engineer The R&D department plays apivotal role indriving the company todisrupt the market. Our team strives for engineering excellence and agility indeveloping solutions. Weuse the latest advances incloud, NLP, andML fields tobuild services used bytop enterprise companies and famous brands, including Glovo, HelloFresh, Herbalife, and Harvard Business Review. AsaMachine Learning Engineer, you’ll beresponsible for designing and developing systems, training, and serving production-ready ML-driven models tosolve the most challenging problems atthe time. You have areal chance toimpact thousands ofusers, influence product development, and work alongside experienced engineers and data scientists. We’re looking for someone who has: 2+years ofexperience with aproven record intheML and data analytics Solid programming experience inPython Strong English verbal and written communication Understanding foundations ofMachine Learning (e.g., supervised/unsupervised learning, classification, regression, validation) Understanding ofNLP fundamentals Experience inthe development, deployment, optimization, and support ofmachine learning solutions Experience with AWS (SageMaker, Lambda, SQS, SNS, DynamoDB, Step Functions, Batch, ECS, EC2, S3) Experience working with large-scale unstructured and structured data sets and databases Experience inbuilding REST API services Asaplus Experience with Postgres, RDS Familiarity with Pinecone, ElasticSearch, DeepLake, orother Vector DB. Knowledge ofContainer Services (Docker, Kubernetes, etc) Experience with Terraform Exposure toLangChain, OpenSource LLMModels, Prompt Engineering, OpenAIAPI. Experience withML frameworks and libraries: PyTorch, Scikit-Learn, HuggingFace, fastText, Gensim, numpy, pandas Experience with data processing tools and frameworks (Apache Spark, Airflow, etc) Familiarity with model optimization and compression techniques (distillation, pruning, quantization, etc) You will: Build APIs forML services inaself-sufficient delivery team that ships code toproduction frequently Develop technical designs once you’re more familiar with the overall architecture Work closely with Product Managers tosketch out design requirements given technical constraints inthe initial stage offeature development Beresponsible for the features you built and shipped toproduction Utilize AWS services tobuild Infrastructure asaCode using Terraform Regularly conduct code reviews ofyour teammates Contribute toimproving overall engineering culture bysharing your unique experience, learnings, best practices, and patterns What Shelf Offers: Company Stock Options Unlimited leaves Hardware: MacBook Pro Modern technical stack . Develop open-source software Why Shelf According toMarketWatch inNovember 2022, the global knowledge management market size was valued atUS $405 Billion in2021 and isexpected toexpand ataCAGR of18.12% during the forecast period, reachingUS $1.1 Trillion by2027 Our Leadership Team has deep knowledge management andAI domain expertise and enterprise SaaS background toexecute this plan Wehave raised over $60 million infunding and our investors include Tiger Global, Insight Partners, Connecticut Innovations, and others Our platform has been consistently rated #1 for overall usability byGartner Digital Markets, and has received Easiest toUse, Easiest toAdmin, and Highest Adoption awards fromG2., and product ofthe year and innovation awards from leading publications, such asCIO Review. Wehave high velocity growth powered bythe most innovative product inour category, 3Xgrowth for 3years inarow Wenow have over 100 employees inmultiple U.S. states and European countries, and wehave ambitious hiring goals over the next year