About Us
We are a forward-thinking AI startup focused on the development and application of cutting-edge generative AI technologies. Our mission is to push the boundaries of AI research to create groundbreaking solutions that have a meaningful impact across industries. As we expand, we’re seeking talented and passionate new graduates to contribute to the advancement of our AI models and platform technologies.
Position Overview
We are looking for a Fresh Grad ML Platform Engineer to join our team in building and optimizing the infrastructure that powers our machine learning applications. This role will involve working on the development, deployment, and scaling of machine learning platforms that support real-world AI solutions. You will collaborate with a team of engineers and data scientists to create the foundation that enables our ML models to operate effectively in production environments.
Responsibilities
- Design, develop, and maintain ML platform components to support large-scale AI applications.
- Collaborate with the engineering and data science teams to ensure seamless integration of ML models into the platform.
- Contribute to the design and optimization of data pipelines, model deployment processes, and infrastructure scaling.
- Participate in the development of tools and systems that support model training, evaluation, and monitoring.
- Troubleshoot and resolve issues related to platform performance, reliability, and scalability.
- Work on automation of tasks to improve workflow efficiency and system reliability.
Qualifications
- Recent graduate with a Bachelor’s degree in Computer Science, Engineering, or a related field.
- Strong programming skills in Python, with a focus on backend or platform development.
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Understanding of cloud platforms (e.g., AWS, Google Cloud, Azure) and their role in supporting ML workloads.
- Eagerness to learn and contribute to the deployment and scaling of AI models.
Nice-to-Haves
- Internship or project experience in machine learning, platform engineering, or cloud infrastructure.
- Familiarity with CI/CD pipelines, Docker, and Kubernetes.
- Knowledge of MLOps practices and the deployment of machine learning models in production environments.
Why Join Us?
- Work with cutting-edge AI and machine learning technologies in a fast-paced, innovative environment.
- Be part of a growing startup focused on creating impactful AI-driven solutions for real-world problems.
- Opportunities for mentorship and career growth in a flexible, remote work environment.
- Contribute to high-impact projects that push the boundaries of AI technology.
