Lead Machine Learning Engineer
vor 1 Woche
Creaitor is a pioneering AI-driven platform that revolutionizes the way businesses manage their content marketing. Our mission is to empower companies to streamline their entire content marketing lifecycle, leveraging the power of artificial intelligence to drive innovation and growth.
Job SummaryWe are seeking a highly skilled and motivated Lead Machine Learning Engineer to spearhead our machine learning initiatives, working directly with our 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.
Key Responsibilities- Machine Learning Development: Design, develop, and deploy machine learning models that drive business value and improve user experience.
- Strategic Roadmap: Develop and execute a strategic roadmap for machine learning initiatives aligned with Creaitor's goals and objectives.
- 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.
- Education: 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.
- Remote Work: Work remotely while being an indispensable member of our global team.
- AI Startup Culture: Work at the heart of a growing AI startup with a unique culture and ambitions to match your own.
- Autonomy and Flexibility: We are result-driven and give you the space and flexibility to organize your work as it best suits you.
- Employee Stock Options: Get the opportunity to be a co-owner of a successful startup with Creaitor's Employee Stock Options Program.
- Scaling Team: Be part of the initial scaling team and shape the future of Creaitor with us.
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