Auf einen Blick
- Aufgaben: Lead the development of innovative machine learning models and strategies.
- Arbeitgeber: Join Creaitor, a cutting-edge AI startup revolutionizing content marketing from beautiful Lucerne, Switzerland.
- Mitarbeitervorteile: Enjoy remote work, flexible hours, and the chance to co-own a successful startup.
- Warum dieser Job: Be part of a dynamic team shaping the future of AI in content marketing.
- Gewünschte Qualifikationen: Bachelor's or Master's in Computer Science or related field; proven ML experience required.
- Andere Informationen: Exciting opportunity to influence the growth of a startup post-pre-seed financing.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
Hey there, future innovator! At Creaitor we’re reshaping the way companies manage their content marketing. Since 2022 we’ve been building the leading AI-driven platform to help businesses streamline their entire content marketing lifecycle. We’re at home in beautiful Lucerne, Switzerland but our growing team mostly works remotely to build amazing AI solutions for customers all over the world.We are seeking a highly skilled and motivated Lead Machine Learning Engineer to spearhead our machine learning initiatives working directly with Creaitor’s CTO. This role is critical as you will lay the foundation for our ML/AI capabilities and lead the development of innovative solutions that enhance our platform. You will cover both the roles of a Machine Learning Engineer and a Data Scientist, working closely with product managers to build and deploy cutting-edge models that meet the needs of our customers.TasksLead ML Development: Design, develop, and deploy machine learning models.Strategy and Vision: Develop and execute a strategic roadmap for machine learning initiatives aligned with Creaitor’s goals.Cross-functional Collaboration: Work with cross-functional teams to identify opportunities for leveraging machine learning to solve complex problems and improve user experience.Vector Database Management: Set up and manage vector databases to efficiently store and retrieve high-dimensional data, enabling fast and accurate similarity searches.Data Management: Collect, preprocess, and analyze large datasets to inform model development and extract actionable insights.Feature Engineering: Perform feature engineering to enhance model performance and accuracy.Model Training: Train and fine-tune machine learning models using state-of-the-art techniques.Model Optimization: Evaluate and optimize model performance to ensure accuracy, efficiency, and scalability.Research and Innovation: Stay up-to-date with the latest research and advancements in machine learning and AI to continuously enhance our platform.Testing and Maintenance: Implement and maintain robust testing frameworks to ensure the reliability of machine learning solutions.Documentation: Document processes, models, and methodologies to ensure knowledge sharing and reproducibility.RequirementsEducation: Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.Experience: Proven experience as a Machine Learning Engineer or similar role, with a strong portfolio of successful projects.Technical Skills: Proficiency in programming languages such as Python, R, or similar. Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.Foundational Knowledge: Strong understanding of data structures, algorithms, and software engineering principles.LLM Expertise: Experience in developing AI/ML solutions with a focus on LLM and LLM frameworks (e.g. LangChain). Strong knowledge and practical experience in Generative AI.NLP Expertise: Knowledge of natural language processing (NLP) techniques and tools.Vector Databases: Experience in working with vector databases (e.g., Pinecone, FAISS, Milvus) to store and manage high-dimensional data for similarity searches and recommendation engines.Cloud Experience: Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization (Docker, Kubernetes) is a plus.Leadership: Demonstrated ability to lead projects and work independently as well as part of a team.Communication Skills: Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.BenefitsWork remotely while being an indispensable member of our global team. You’ll have all the tools at your disposal to facilitate communication and a great work environment.Work at the heart of a growing AI startup with a unique culture and ambitions to match your own.We are result driven and give you the space and flexibility to organize your work as it best suits you.Get the opportunity to be a co-owner of a successful startup with Creaitor’s Employee Stock Options Program.Be part of the initial scaling team and shape the future of Creaitor with us.We’re fresh off of closing our pre-seed financing round and are ready to kick our growth into high gear by welcoming new team members with exceptional talent to grow Creaitor to the preferred AI Content Marketing platform for businesses worldwide. If this sounds exciting to you, apply now! #J-18808-Ljbffr
Machine Learning Engineer Arbeitgeber: Creaitor AG
Kontaktperson:
Creaitor AG HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Machine Learning Engineer
✨Tip Number 1
Familiarize yourself with the latest advancements in machine learning and AI, especially in areas like LLM and NLP. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Showcase your experience with vector databases and cloud platforms in your discussions. Being able to speak confidently about your hands-on experience with tools like Pinecone or AWS can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss specific projects where you've led machine learning initiatives. Highlight your role in cross-functional collaboration and how you’ve successfully solved complex problems using ML techniques.
✨Tip Number 4
Practice explaining complex technical concepts in simple terms. Since you'll be working with product managers and non-technical stakeholders, being able to communicate effectively is crucial for this role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Machine Learning Engineer
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Tailor your application to highlight your relevant experience in machine learning, data science, and AI solutions.
Showcase Your Projects: Include a portfolio or examples of successful projects you've worked on that demonstrate your skills as a Machine Learning Engineer. Highlight any experience with LLM frameworks, NLP techniques, and vector databases.
Tailor Your CV: Customize your CV to reflect the specific skills and experiences that align with the job at Creaitor. Emphasize your technical skills in programming languages and machine learning frameworks, as well as your leadership abilities.
Craft a Compelling Cover Letter: Write a cover letter that expresses your enthusiasm for the role and the company. Discuss how your background and vision align with Creaitor's goals and how you can contribute to their innovative AI-driven platform.
Wie du dich auf ein Vorstellungsgespräch bei Creaitor AG vorbereitest
✨Showcase Your Projects
Be ready to discuss your previous machine learning projects in detail. Highlight the challenges you faced, the solutions you implemented, and the impact of your work. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand Creaitor's Vision
Research Creaitor's platform and its goals in content marketing. Be prepared to discuss how your skills and experiences align with their mission and how you can contribute to their machine learning initiatives.
✨Demonstrate Technical Proficiency
Brush up on your knowledge of relevant programming languages and frameworks like Python, TensorFlow, and PyTorch. Be ready to answer technical questions or even solve coding problems during the interview to showcase your expertise.
✨Communicate Clearly
Since you'll be working with cross-functional teams, practice explaining complex technical concepts in simple terms. This will show your ability to communicate effectively with non-technical stakeholders, which is crucial for this role.