GRÜEZI MITENAND

Deputy Head of AI – Hybrid in Lausanne (3 Days in Office)Looking for your next big challenge in AI? This exciting leadership role blends cutting-edge technology with strategic influence, offering the chance to shape AI strategies and drive impactful projects.✨ Key Responsibilities🔧 Technical Leadership: Guide AI projects with expertise in Generative AI, LLMs, multimodal models, and computer vision.🤝 Team Management: Mentor and lead AI scientists, ensuring high-quality project delivery.💼 Business Development: Identify and develop new AI consulting opportunities.🌟 Client Engagement: Act as the main client contact, aligning solutions to their AI needs.📊 Project Oversight: Ensure timely and successful execution of AI initiatives.🚀 Innovation: Stay ahead of AI trends, proposing cutting-edge solutions.🛠️ Skills & Requirements🧠 Expertise: Strong background in Generative AI, LLMs, computer vision, and MLOps (e.g., MLFlow, Kubernetes).🎓 Education: Advanced degree (Master's or Ph.D.) in AI, Machine Learning, or related fields.👩‍💻 Technical Proficiency: Python, PyTorch, TensorFlow, LangChain.🌍 Language Skills: Fluent in French; additional European languages are a bonus.💬 Communication: Exceptional client-facing and interpersonal skills.📈 Experience: Proven track record in AI leadership roles, particularly in consulting.💸 CompensationBase Salary: CHF 120,000–140,000 (negotiable for exceptional candidates).Perks: Lunch allowance (in office/client site) + CHF 300/month travel reimbursement.🔍 Hiring ProcessIntroductory Interview: Non-technical discussion with two managers.Technical Assessment: Coding interview, including code review.Final Interview: Focus on leadership, technical expertise, and cultural fit.🌟 Why Join?This is your chance to lead transformative AI projects across industries, collaborate with high-profile clients, and shape innovative solutions in a multicultural and dynamic consulting environment. Enjoy Switzerland's renowned quality of life while leveraging the latest AI advancements like Generative AI, LLMs, and multimodal models.Flexible work options: Full-time or 80%.

We’re looking for a (Senior) Consultant with a passion for AI, automation, and business analysis to join our client’s mission. Here, you'll empower clients with data-driven insights, helping them make smarter decisions, optimize strategies, and boost business performance.💼 Your RoleAs a trusted advisor and innovator for this large scale enterprise, you will: 🔍 Support clients with projects in data strategy, architecture, analysis, visualization, automation, governance, and AI. 🛠️ Plan and execute workshops, interviews, and co-creation sessions to uncover client needs. 📈 Analyze, document, and define data, AI, and automation requirements, ensuring clarity and precision. 📊 Develop business cases, user interfaces (wireframes/mockups), and strategies to deliver actionable insights. 🤝 Translate technical and business analysis into system and interface requirements. 🚀 Lead the development and validation of use cases, ensuring smooth implementation and stakeholder alignment.🧠 Your ExpertiseWe’re looking for candidates who bring: 🌟 Fluency in German and English (spoken and written). 🌟 A strong academic background in Business, IT, or related fields. 🌟 1-5 years of experience in business analysis, consulting, or requirements engineering. 🌟 Knowledge of data, analytics, and automation (e.g., Data Engineering, AI, Advanced Analytics, or Process Automation). 🌟 Hands-on programming experience (e.g., Python). 🌟 Familiarity with project methodologies (Hermes, SCRUM, SAFe), modeling tools, and frameworks (e.g., DevOps, MLOps, BPMN). 🌟 A customer-focused mindset with strong analytical and problem-solving skills. 🌟 A collaborative team player who thrives in an inclusive environment.Bonus: Certifications in Business Analysis (e.g., IREB, CBAP/CCBA) or practical experience with tools like UiPath/Power Apps.If you are interested in this opportunity, feel free to reply back to this AD with your most up to date CV or if you have any further questions, feel free to send an email to @nathan.wills@deeprec.ai

Senior Machine Learning Engineer - Switzerland 🌟Are you ready to take your ML career to the next level? 🚀 We're on the hunt for a Senior Machine Learning Engineer to join our dynamic ML team! You'll tackle a variety of exciting challenges where ML is the secret sauce. In this role, you'll be the driving force behind the team's success, bringing innovative ideas to life and delivering impactful solutions. 💡✨What You'll DoAs a Senior ML Engineer, you'll:💼 Lead projects from concept to execution, collaborating with clients, teams, and stakeholders.🎯 Design and develop end-to-end ML products that solve real-world problems.🤝 Mentor and inspire your team, fostering success and growth.🧠 Analyze complex problems, devise creative solutions, and execute with precision.📊 Dive deep into data, transforming it into actionable insights with ML techniques.You'll also play a key role in explaining technical concepts to both technical and non-technical audiences, from team members to clients and investors. 🎙️👥Key Responsibilities✅ Empower the team to achieve outstanding results.✅ Identify and seize opportunities for new business and innovative products.✅ Champion cutting-edge applied ML practices.✅ Build pipelines, preprocess data, and engineer features.✅ Develop and validate ML models.✅ Design scalable infrastructure and ensure smooth delivery.Our Stack🔧 Languages: Python, R📚 Libraries: Scikit-learn, PyTorch, TensorFlow/Keras☁️ Cloud: GCP, AWS, Azure⚡ Tech: Apache Spark, relational databases, CI/CD, KubernetesWhat We're Looking For🌟 MSc or Ph.D. in a quantitative field.🌟 Proven experience leading ML projects from start to finish.🌟 Strong grasp of ML algorithms and frameworks.🌟 Excellent communication skills (in-person, blog posts, events).🌟 Passion for writing clean, maintainable code and sharing your knowledge.Bonus Points🎯 Leadership in fast-growing organizations.🎯 Product experience from ideation to monetization.🎯 Expertise in deep learning, data pipelines, and DevOps.If you are interested in this role, feel free to apply to this job AD with your most up to date CV or if you have any questions, feel free to contact nathan.wills@deeprec.ai

Role: Senior MLOps EngineerLocation: ZurichSalary: up to 150,000 CHFOpportunity to join a leading consultancy as a Senior MLOps Engineer.You’ll be responsible in bridging the gap between data science and engineering, ensuring our models seamlessly transition from research to production.Key Responsibilities:Guide a team of MLOps engineers, fostering a collaborative and high-performing environment.Oversee the end-to-end deployment of machine learning models, including infrastructure setup, pipeline creation, and monitoring.Design and implement robust MLOps architectures that scale efficiently and reliably.Collaborate with data scientists to optimize and fine-tune models for production environments.Provide ongoing support for deployed models, addressing issues and ensuring optimal performance.Required Skills and Experience:Proven experience in leading MLOps projects.Deep understanding of MLOps principles and practices.Proficiency in ML frameworks (TensorFlow, PyTorch, etc.) and cloud platforms (AWS, GCP, Azure).Experience with CI/CD pipelines and containerization technologies (Docker, Kubernetes).

Junior/Mid-Level Machine Learning Engineer – Generative AI Team (SWISS BASED CANDIDATES ONLY) Location: Zurich, HybridType: Full-TimeAbout the Role:Join a leading consultancy's Generative AI team in financial assurance! Your expertise in LLMs, RAG, and frameworks like LangChain will help automate complex document analysis, driving efficiency for global clients.Responsibilities:Design and implement RAG/LLM-based AI solutions to streamline workflows.Develop tools that automate manual processes in financial document review.Collaborate with cross-functional teams to deliver tailored AI solutions.Stay updated on AI trends and integrate them into practical applications.Requirements:Fluent German speaker.1+ years of experience or a BSc/MSc in a relevant field.Skills in LLMs, RAG, and AI frameworks.Strong problem-solving and analytical skills.MUST BE BASED IN SWITZERLANDBenefits:Unlock your potential with tailored training and resources.Transparent and flexible career progression.Be part of a collaborative, diverse, and inclusive team.Access hybrid working arrangements and wellness programs.Enjoy generous leave options and community-building events.