
Machine Learning Backend Specialist
6 days ago
At our organization, we leverage data to solve critical issues. Our software provides insights that were previously inaccessible.
We are building Generative AI–native solutions that power applications across healthcare and fintech. We're looking for a qualified Software Engineer with hands-on machine learning experience who can assist in designing, building, and scaling production-ready AI systems.
- This role combines strong software engineering fundamentals with applied machine learning expertise.
The successful candidate will be responsible for developing and maintaining backend architecture, software development, 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.
- 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.
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.
Design backend APIs to support AI-driven process optimization and NLP-powered automations.
Mindset:
- Startup-ready: adaptable, curious, hands-on.
- Strong ownership + problem-solving.
- Eager to push Generative AI into real-world adoption.
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