December 3
• Participate in pre-sales phase to show company expertise, provide technical design and estimations. • Work collaboratively with the data science team, backend engineer, devops, focusing on understanding business challenges and identifying potential tech-based solutions. • Coach and lead ML Engineers. • Develop and assess data-driven models with a focus on Natural Language Processing (NLP) and generative AI technologies. • Utilize advanced techniques such as Large Language Models (LLM), Retrieval Augmentation Generation (RAG), and semantic vectors to enhance model performance. • Collaborate with a team and client to ensure prompt alignment with project goals and user needs. • Monitor and analyze performance to identify areas for improvement. • Optimize AI prompt generation process to enhance overall system performance. • Stay up-to-date on the latest advancements in AI, natural language processing and machine learning. • Provide support to teams in understanding prompt engineering best practices. • Draft and distribute reports on prompt performance and development progress.
• At least 5 years of data science/ML experience. • 2+ years of experience in leadership positions. • NLP, LLM, generative AI - e.g. GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders); • Proficiency in Data Vectorization. • Retrieval Augmentation Generation (RAG), semantic vectors. • Agent Development Frameworks: Familiarity with platforms for developing conversational agents. • Understanding of MLOps practices. • Experience in Natural Language Processing / Machine Learning. • Solid understanding of machine learning algorithms and techniques, including deep learning. • Proficient in Python and expertise in libraries and frameworks such as NumPy, pandas, TensorFlow, PyTorch. • Experience with cloud platforms like AWS, Azure, Google Cloud, and familiarity with big data technologies including Hadoop and Spark. • Experience with latest LLM models currently being rolled-out in consumer-facing generative AI tools. • Experience with AI tools and APIs like OpenAI (ChatGPT, Dall-e), DeepL or similar. • Experience with LangChain and LangSmith. • Experience with Docker and deploying APIs to cloud (will be a plus); • B2 level of English. • Excellent problem-solving and analytical skills. • Ability to collaborate effectively with cross-functional teams. • Ability to dive deep and understand the business side of the project. • Provide clear documentation of processes, workflows, recommendations, etc. • Be able to communicate with stakeholders directly and independently. • Be able to communicate with customers during the pre-sales phase to present company expertise.
• We have stable and highly-functioning processes – everyone has their own role and clear responsibilities, so decisions are made quickly and without unnecessary approvals. • You will have enough independence to make decisions that can affect not only the project but also the work of the company. • We are a team of like-minded experts who create interesting products during working hours, and enjoy spending free time together. • Do you like to learn something new in your profession or do you want to improve your English? We will be happy to pay 50% of the cost of courses/conferences/speaking clubs. • Do you want an individual development plan? We will form one especially for you + you can count on mentoring from our seniors and leaders. • Do you have a friend who is currently looking for new job opportunities? Recommend them to us and get a bonus. • And what if you want to relax? Then we have 21 working days off. • What if you are feeling bad? You can take 5 sick leaves a year. • Do you want to volunteer? We will add you to a chat, where we can get a bulletproof vest, buy a pickup truck or send children's drawings to the front. • And we have the most empathetic HRs (who also volunteers!). So we are ready to support your well-being in various ways.
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