AI Consultant (AI Tech Lead)

• 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
• 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
• 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

Experience with Docker and deploying APIs to cloud

• Stable and highly-functioning processes
• Independence to make decisions that can affect not only the project but also the work of the company
• Team of like-minded experts
• Individual development plan
• Mentoring from seniors and leaders
• Referral bonus
• For full-time collaboration: 21 paid vacation days
• 11 paid days off for Public Holidays
• For full-time collaboration: 5 paid sick leave days per year
• Volunteer support
• Empathetic HRs ready to support your well-being
• Adaptation period lasts 3 months
• Performance review after each year of collaboration
• Flexible working day