Full-Stack Machine Learning Engineer

Company- Miran World
Location- New Delhi (Hybrid)
Experience-2 to 4 Years
Job Type- Full-Time
Job Description
Miran World is actively seeking a highly skilled and passionate full stack Machine Learning Engineer with 2 to 5 years of experience to join our dynamic team.

The ideal candidate will have the combination of expertise in applied machine learning, MLOps, and scalable software engineering.

The successful candidate will transition ML prototypes into robust, production-ready systems, building both the backend infrastructure and the user-facing application to deliver AI-driven features.
Key Responsibilities:
1.

Own the entire Machine Learning (ML) product lifecycle from concept to production.
2.

Ensure scalable, high-performance integration of ML models into core applications.
3.

Drive MLOps best practices for continuous deployment and monitoring.
4.

Collaborate cross-functionally to translate business goals into technical AI solutions.
5.

Maintain high standards for code quality, security, and system reliability.
What You'll Do:
·      Develop and train production-grade ML and Deep Learning models.
·      Build automated CI/CD pipelines using Docker and Kubernetes.
·      Design and implement RESTful/GraphQL APIs to serve model inferences.
·      Create responsive frontend interfaces (React.js) for AI-driven features.
·      Optimize model performance and deploy services on cloud platforms (AWS/GCP/Azure).
·      Build and maintain high-throughput data and feature engineering pipelines.
·      Conduct rigorous testing and performance tuning across the full stack.
·      Stay current with advancements in GenAI and LLMs to propose new solutions.
Required Qualifications:
·        B.Tech/M.Tech in Computer Science, Engineering, or a related quantitative discipline.
·   Experience: Minimum 2 years of professional experience in a related role, with proven experience.
·       Programming : Expert proficiency in Python and professional experience with JavaScript/TypeScript.
·       ML Frameworks: Demonstrated expertise in deploying models using frameworks such as PyTorch, TensorFlow, Keras, or Scikit-learn.
·       Web Stack: Strong command of a modern frontend framework and a server-side framework.
·       Data & Cloud: Experience with SQL/NoSQL databases, cloud computing platforms and Docker/Kubernetes.
What We Offer:
Miran World is committed to the growth and well-being of our team members in the dynamic Delhi tech environment.
Competitive Salary
Flexible Working
Professional Development
Innovative Environment
Full-Stack Machine Learning Engineer