Machine Learning Engineer Jetzt bewerben

Machine Learning Engineer

Luzern Vollzeit 48000 - 84000 € / Jahr (geschätzt)
Jetzt bewerben
Creaitor.ai

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 through stock options.
  • Warum dieser Job: Be part of a dynamic team shaping the future of AI in content marketing with exciting growth opportunities.
  • Gewünschte Qualifikationen: Bachelor's or Master's in Computer Science or related field; proven ML experience and strong technical skills required.
  • Andere Informationen: Join us as we scale after our pre-seed financing round and make a global impact!

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 remotly 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 AINLP 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 fascilitae 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 successfull startup with Creaitor’s Employee Stock Options Program.Be part of the initial scaling team and shape the future of Creaitor with usWe’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.ai

At Creaitor, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Lead Machine Learning Engineer, you'll enjoy the flexibility of remote work while being part of a passionate team in beautiful Lucerne, Switzerland. With opportunities for professional growth, a unique Employee Stock Options Program, and the chance to shape the future of AI-driven content marketing, Creaitor is the perfect place for talented individuals looking to make a meaningful impact.
Creaitor.ai

Kontaktperson:

Creaitor.ai HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: Machine Learning Engineer

✨Tip Number 1

Familiarize yourself with the latest trends in machine learning and AI, especially focusing on LLM frameworks like LangChain. This knowledge will not only help you stand out but also demonstrate your commitment to staying current in a rapidly evolving field.

✨Tip Number 2

Showcase your experience with vector databases such as Pinecone or FAISS. Highlight any projects where you've successfully implemented these technologies, as they are crucial for the role and will illustrate your hands-on expertise.

✨Tip Number 3

Prepare to discuss your approach to cross-functional collaboration. Be ready to share examples of how you've worked with product managers or other teams to identify and solve complex problems using machine learning.

✨Tip Number 4

Emphasize your leadership skills and ability to work independently. Creaitor is looking for someone who can spearhead initiatives, so be prepared to discuss past experiences where you've led projects or teams successfully.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Machine Learning Engineer

Machine Learning Model Development
Data Preprocessing and Analysis
Feature Engineering
Model Training and Fine-tuning
Model Optimization
Vector Database Management
Natural Language Processing (NLP)
Generative AI Knowledge
Proficiency in Python, R, or similar programming languages
Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
Cloud Platform Experience (AWS, Google Cloud, Azure)
Containerization (Docker, Kubernetes)
Strong Understanding of Data Structures and Algorithms
Leadership and Project Management Skills
Excellent Communication Skills

Tipps für deine Bewerbung 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and data science. Focus on projects that demonstrate your skills in model development, optimization, and collaboration with cross-functional teams.

Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and content marketing. Mention specific projects or experiences that align with Creaitor's goals and how you can contribute to their innovative solutions.

Showcase Technical Skills: Clearly list your technical skills, especially in programming languages like Python and R, as well as your experience with machine learning frameworks. Highlight any work you've done with vector databases and cloud platforms.

Demonstrate Leadership Experience: If you have experience leading projects or teams, make sure to include this in your application. Creaitor values leadership skills, so provide examples of how you've successfully led initiatives in the past.

Wie du dich auf ein Vorstellungsgespräch bei Creaitor.ai 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.

✨Prepare for Collaboration Questions

Since the role involves cross-functional collaboration, think of examples from your past experiences where you successfully worked with product managers or other teams. Highlight your communication skills and ability to convey complex concepts to non-technical stakeholders.

Machine Learning Engineer
Creaitor.ai Jetzt bewerben
Creaitor.ai
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