Software Engineers

1 week ago

Chennai, India Elimai Full time € 75,000 - € 95,000
ai, we empower India's key institutions to leverage their data for solving critical issues. Our software enables customers to comprehensively analyze their data, providing insights that were previously inaccessible. We are building Generative AI–native solutions that power applications across healthcare and fintech . We are looking for a qualified Software Engineer with ML hands-on experience who can co-assist in designing, building and scaling production-ready AI systems. This combines strong software engineering fundamentals with applied machine learning expertise.

Website :

Compensation and Benefits :
• Salary: ₹75,000-95,000 per month (based on experience).
• Hybrid / Remote

This is a full-time hybrid role for an ML Backend Engineer. The role is based in Chennai but offers the flexibility of working from home for part of the time. The ML Backend Engineer 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.
Work with founding engineers to embed intelligent agents, predictive models, and decision-making capabilities into backend workflows using Predictive learning through ML algorithms.

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.

Eager to push Generative AI into real-world adoption.

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