ML Engineer (NLP Expertise)
LITSLINK is a US-based software development company with offices in Palo Alto, CA and Kyiv, Ukraine, that specializes in mobile and web development, artificial intelligence, machine learning, SaaS development, AR & VR, product design, and cloud services.We provide the turn-key IT solutions including marketing, business analysis, product development and web promotion for startups, small, and medium-sized businesses.At LITSLINK, we carefully analyse market to clarify consumer needs, observe competitors'β marketing strategies, discover insights turning the information obtained into product features and promotion opportunities.To create websites and mobile apps that meet your specific needs and requirements, our team of skilled web developers and designers combines the latest technologies with extensive hands-on experience.
LITSLINK is looking for a talented Machine Learning Engineer to enforce our team of 19 enthusiastic Machine Learning specialists.
About you:
β 2-4 years of experience with NLP is a must;
β Experience with generative AI: LLMs (OpenAI + custom fine-tuning, Langchain, etc)
β 2-4 years of programming experience with the following languages/frameworks: Python; Pytorch /Tensorflow /Keras/ OpenCV;
β Familiarity with architectures for classification tasks: CNN, Faster R-CNN, ResNet; detections: YOLO, HOG; segmentation: U-Net, DeepLab, PSPNet;
β Solid practical and theoretical knowledge of Statistics, Machine Learning, and Deep Learning;
English skills enough to:
β Read/write/discuss technical requirements on tasks;
β Provide/take technical reviews on the code;
β Clearly describe your experience and technical decisions based on it;
β Support small talks and non-technical discussions.
What you will do:
β Responsible for the full cycle of NLP model development;
β Building the ML-based solution;
β Create production-ready solutions, launch MVPs, and help DevOps Team to deploy them;
β Work with NLP algorithms and data structures.
What we offer:
β Remote-first culture;
β Flexible working schedule. ( It can be Full-Time or Part-Time );
β Strong technical support of the companyβs Engineering Managers and implementation team (UX/UI Designers/Developers/BA/QA);
β Competitive remuneration ( gross system ).
What happens after you apply:
β We review your application and contact you to set up a quick call with one of our recruiters;
β Online interview ( Technical );
β Interview with the Manager;
β Proposal for cooperation.