
AI Engineer Position
1 week ago
Job Title:
Backend Developer for Machine Learning SolutionsWe are seeking a skilled Backend Developer to join our team and contribute to the development of machine learning solutions. The ideal candidate will have experience in building scalable, distributed systems and be proficient in programming languages such as Python, Java, and Go.
About the Role:
- Design and implement robust backend systems and APIs to deploy and scale ML solutions.
- Work with cloud-native infrastructure (AWS) to design cost-efficient, high-availability ML pipelines and scalable cloud-supported backend solutions.
- Implement ML lifecycle workflows — from experiment tracking (MLflow/Kubeflow/DVC) to orchestration (Airflow/Prefect).
- Contribute to end-to-end product development: data ingestion, preprocessing, model serving, monitoring, and continuous improvement.
- Collaborate with cross-functional teams in a startup fast-paced environment.
- Work with founding engineers to embed intelligent agents, predictive models, and decision-making capabilities into backend workflows using Predictive learning through ML algorithms.
Requirements:
- Bachelor's / Master's degree in CS, Data Science, AI/ML.
- 1-3 years of experience in backend development, with a focus on building scalable, distributed systems.
- Programming languages: MERN, Python, Golang. Java is optional but definitely a plus.
- Databases: Strong experience with PostgreSQL + familiarity with NoSQL/MongoDB.
- MLOps & Infrastructure: Knowledge of MLflow, Kubeflow, DVC, CI/CD pipelines, Docker, Kubernetes.
- Cloud & Infra: AWS SageMaker/Bedrock, GCP Vertex AI, Azure AI.
- Versioning & Collaboration: Git, GitHub/GitLab, code reviews, unit testing.
- Ability to write clean, modular, and scalable code with strong debugging & testing discipline.
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