Job Description:
• 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
Requirements:
• At least 5 years of data science/ML experience
• 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);
• 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.
Benefits:
• 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 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? If you join us full-time, we provide 21 paid vacation days. We also have 11 paid days off for Public Holidays.
• What if you're feeling bad? For the full-time collaboration, you can take 5 paid sick leave days per 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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