
Senior Machine Learning Engineer
4 hours ago
We're looking for a seasoned Machine Learning Engineer to spearhead the development of our backend architecture.
About the RoleThis full-time position involves designing and maintaining scalable cloud-native infrastructure, building robust backend systems & APIs to deploy ML solutions, and collaborating with cross-functional teams in a fast-paced startup environment.
- Design and implement efficient machine learning pipelines using AWS SageMaker/Bedrock, GCP Vertex AI, and Azure AI.
- Develop and maintain scalable cloud-supported backend solutions using cloud-native infrastructure (AWS).
- Implement ML lifecycle workflows, including experiment tracking, orchestration, and model serving.
- Work with founding engineers to embed intelligent agents and predictive models into backend workflows.
To succeed in this role, you'll need:
- Bachelor's / Master's degree in CS, Data Science, or AI/ML.
- 1-3 years of experience in backend development with a focus on distributed systems.
- Strong programming skills in MERN, Python, Golang, and Java.
- Familiarity with databases, including PostgreSQL and NoSQL/MongoDB.
- Experience with MLOps & Infrastructure tools like MLflow, Kubeflow, DVC, and CI/CD pipelines.
- Knowledge of cloud platforms, including AWS, GCP, and Azure.
- Ability to write clean, modular code and collaborate effectively with others.
This role offers a unique opportunity to work on cutting-edge projects and contribute to the growth of a innovative company.
- Collaborative and dynamic work environment.
- Opportunities for professional growth and development.
- Competitive compensation and benefits package.
We're seeking someone with a strong passion for machine learning and a proven track record of delivering high-quality results.
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