Machine Learning Engineer
2 months ago
GoMaterials is a fast-paced growth startup looking for a passionate ML Engineer to join our team
The successful candidate will work on developing, deploying, and optimizing machine learning models and AI applications that help solve complex business problems. You will collaborate with the product team, software engineers, and other stakeholders to build scalable AI solutions.
The ideal candidate should be a good problem-solver, team-oriented and comfortable working in a fast-paced startup environment.
What You’ll Do
- Design, develop, and implement machine learning and deep learning algorithms and models.
- Explore and define business problems, design and develop AI agent solutions for specific tasks.
- Collaborate with product team and engineers to transform raw data into actionable insights.
- Design and develop AI Agentic applications for automation tasks, familiar with tools and frameworks such as LangChain and Dify.
- Train, test, and optimize models to ensure accuracy, efficiency, and scalability.
- Deploy machine learning models into production environments, ensuring reliability and robustness.
- Monitor and maintain machine learning pipelines, identifying areas for improvement or enhancement.
- Conduct data preprocessing and feature engineering to prepare data for modeling.
- Research and evaluate new algorithms, tools, and techniques to enhance model performance.
- Collaborate with cross-functional teams to integrate AI solutions into business processes and applications.
- Document processes, models, and experiments for knowledge sharing and reproducibility.
- Troubleshoot and debug issues related to machine learning models and systems.
What You’ll Need
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
- Experience with AI Agent solution development and framework.
- Proven experience as a Machine Learning Engineer or similar role.
- Strong programming skills in Python, R, or similar languages.
- Familiar with fine-tuning techniques on existing models.
- Experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.
- Familiarity with cloud platforms (AWS, Google Cloud, Azure) for deploying machine learning models.
- Strong understanding of data structures, algorithms, and mathematical concepts used in machine learning.
- Familiar with deep learning techniques and development process.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
Nice to Have
- Experience with MLOps tools for version control, CI/CD pipelines, and monitoring.
- Knowledge of AI ethics and responsible AI practices.
- Understanding of model interpretability and explainability.
- Familiarity with Docker and Kubernetes for containerization and orchestration.
- Experience with Azure AI Studio or other cloud platforms.
Ready to Apply?
If you think you’d be a great fit at our company and are passionate about this role, we want to hear from you
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