ML Software Engineer

1 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Please do not apply blindly — as we value your time and ours.


Company Mission and Description:


Generative AI–native solutions


Website


Compensation and Benefits

Salary: ₹75,000-95,000 per month (based on experience).

• Equity: ESOP Pool

• Work Environment: Hybrid / Remote



Role Description


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.


What You'll Do


  • 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 founders and 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.


What You'll Bring


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

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:

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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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