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6 days ago
We are developing innovative solutions that harness the power of artificial intelligence to drive applications across healthcare and fintech.
Key Responsibilities:- Design and develop production-ready AI systems combining strong software engineering fundamentals with applied machine learning expertise.
- Develop and maintain backend architecture, implementing machine learning algorithms, ensuring efficient performance, and collaborating with front-end developers to integrate user-facing elements.
- Build robust backend systems & APIs to deploy and scale ML solutions.
- Implement ML lifecycle workflows — from experiment tracking (MLflow/Kubeflow/DVC) to orchestration (Airflow/Prefect).
- Bachelor's / Master's degree in Computer Science, Data Science, or a related field.
- 1-3 years of experience in backend development, with a focus on building scalable, distributed systems.
- Strong programming skills in MERN, Python, Golang, Java.
- 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, 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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