AI/ML Architect

Overview: - Viseven Group, a multinational MarTech company specializing in interactive content and cloud solutions for global pharmaceutical companies since 2009. Key Responsibilities: - Develop and implement machine learning and AI solutions for the pharmaceutical industry. - Understand business objectives and create models to help achieve them. - Analyze and utilize computer science foundations such as data structures, algorithms, and computational complexity. - Analyze machine learning algorithms for specific problem-solving, ranking them by probability of success, and analyze large datasets for insights. - Develop and maintain scalable machine learning solutions in production. - Apply machine learning algorithms and libraries. - Visualize and interpret data for deeper understanding and impact on productivity. - Perform data quality checks and data collection if necessary. - Manage infrastructure and data pipelines required for deploying code to production. - Provide support to engineers and product managers for implementing machine learning in products. - Collaborate with data engineers to build data pipelines and models. - Interact with stakeholders to analyze business problems, clarify requirements, and determine the scope of solutions. - Develop machine learning applications according to business requirements. Requirements/Skills/Qualifications: - Machine Learning & AI: Experience in developing, fine-tuning, and deploying machine learning models in real-world scenarios. - RAG Architecture: Expertise in creating solutions for extended search generation in AI. - AI Agents: Experience in developing autonomous AI agents using modern frameworks and cloud services. - Software Engineering: Deep knowledge of data structures, data modeling, and software architecture. - Programming: Proficiency in JavaScript, Python, and experience with LangChain, LangGraph. - Cloud Technologies: Practical experience with AWS AI, Amazon Cloud, and Microsoft Azure AI/ML. - Data Analysis and Visualization: Knowledge of Power BI, Tableau, Qlik, and other data analysis tools. - Mathematics and Statistics: Deep understanding of probability, statistics, and algorithms for AI/ML. - Professional Experience: Architecting and deploying AI/ML models in enterprise-level applications, customizing large-scale models, consulting clients on AI strategies, and working in the pharmaceutical industry. - Communication Skills: Strong communication skills to explain complex AI/ML concepts to non-technical stakeholders. - Work-Life Balance: Commitment to maintaining a healthy work-life balance. - English Proficiency: Upper-Intermediate level in English. - AWS Certification: AWS AI/ML certification. Compensation & Benefits: - Competitive salary with regular performance reviews. - Career growth opportunities. - Paid vacation - 18 days per year, with additional days after two years of service. - Paid sick leave - 3 paid days per year for family-related events. - Comprehensive medical coverage including massage and physiotherapy courses. - English language courses. - Participation in professional forums and conferences. - Regular corporate events and team-building activities. - Comfortable work environment with fully equipped office and remote work options.