Senior Machine Learning AI Engineer in Valtech

4+ years of experience designing and productionizing machine learning models and AI applicationsFluent in Python and a strong interest in general software engineering principlesExperience with cloud platforms such as Azure, AWS & GCPExperience with Generative AI and GPT modelsExperience in software development and Natural Language Processing (NLP)Demonstrated proficiency in machine learning libraries and technologies such as TensorFlow, Keras, PyTorch and Scikit-LearnComfortable working with APIs. Experience with AutoGen, LangChain, Retrieval Augmented Generation (RAG). Bonus: Strong mathematical and statistical understandingFamiliar with DataOps, MLOps, LLMOpsFamiliar with data management concepts: data ingestion, data storage, data warehousing, data modellingComfortable with client-facing roleHacker mentality to get things done within a short time to prove the value of AI to business stakeholdersUpper-Intermediate English levelAccountability, strong communication, collaboration, and time-management skillsStrong desire to learn more about business every dayMaster’s or PhD degree in Computer Science, Engineering, or related field is preferred.The OpportunityWe are looking for a Senior Machine Learning AI Engineer to join our global team of 6,000 professionals in more than 60 offices worldwide.This job is situated in our specialized Digital Analytics & Strategy unit In Valtech named Valtech_CoSDaT. We are helping leading brands and companies worldwide realize growth potential based on Data. We are 150 specialized consultants. Our clients choose us, because of our dedication to producing clear and measurable commercial results. A trait in which we take great pride. Among our clients are many international brands across industries such as L’oréal, BMW, Cancer fond, LVMH etc. We take on commitment and clients across the world.We are also open to hiring more veterans and internally displaced persons.BenefitsMental and physical health:Medical insuranceSports reimbursement budgetHome office supportA number of free psychological and legal consultationsMaternity & paternity leave supportPersonal and professional development:Internal workshops & learning initiativesEnglish language classes compensationProfessional certifications reimbursementParticipation in professional local & global communitiesGrowth Framework to manage expectations and define the steps to move towards the selected careerMentoring program with the ability to become a mentor or a mentee to grow to a higher positionValtech Ukraine has a system of progressive benefits packages in place — the longer you stay with the company — the more benefits you get.For us, at Valtech, our main priority has always been people. Valtech has created One Fund to support Ukrainian colleagues who have found their lives turned upside down at these tough times.With the rapid company growth, not only you get to be a part of constant evolution, but you can lead the change. The more we grow — the more opportunities there are to take on the responsibility, implement your creative ideas, and be the innovator and driver rather than the task executor.Say hello to your future. Apply!,[Model Development and Deployment: Design, develop, and deploy scalable AI and machine learning models using Python. Optimize models for performance and efficiency, Data Engineering: Work with large datasets to prepare, process, and analyse data for model training and evaluation. Implement data pipelines and ETL processes, Cloud Integration: Leverage cloud platforms (AWS, Azure, Google Cloud) for deploying and managing AI solutions. Utilize cloud services for computation, storage, and AI model deployment, Collaboration and Integration: Collaborate with product teams, data scientists, and software engineers to integrate AI models into products and services. Ensure seamless deployment and scalability, Research and Development: Stay abreast of the latest AI and machine learning trends, tools, and technologies. Conduct research to explore new methodologies and improve existing systems, Technical Leadership: Provide technical guidance and mentorship to junior engineers. Lead by example in writing clean, efficient, and maintainable code, Performance Monitoring: Monitor and evaluate the performance of AI models. Implement improvements and updates to ensure models remain effective and efficient over time, Documentation: Create detailed documentation for AI models, systems architecture, and deployment processes to ensure knowledge transfer and reproducibility.] Requirements: Machine learning, AI, Python, Azure, AWS, GCP, Natural language processing, TensorFlow, Keras, PyTorch, scikit-learn, MLOps, Data management, Storage, PhD, Degree Tools: Agile, Scrum, Kanban. Additionally: Sport subscription, Training budget, Private healthcare, Small teams, International projects.