Location: Remote – India

Experience: 3–6 Years

CTC: Up to ₹24 LPA

Type: Full-Time

Role

We are looking for a Full Stack Developer with Machine Learning experience to build scalable, intelligent applications. You will work across frontend, backend, cloud infrastructure, and ML/AI integrations.

The ideal candidate is a strong software engineer who can take features from concept to production and is comfortable working with up-to-date AI/ML technologies.

Responsibilities

- Build scalable full-stack web applications.
- Develop responsive interfaces using React.js / Next.js .
- Build backend services and APIs using Python, Node.js, or similar technologies .
- Integrate and deploy Machine Learning and AI models into production.
- Work with ML engineers/data scientists to productionize models.
- Develop APIs for model inference, data processing, and AI workflows.
- Design and optimize databases and backend architectures.
- Implement authentication, security, and performance best practices.
- Deploy and maintain applications on AWS, GCP, or Azure .
- Monitor, debug, and improve production systems.
- Participate in code reviews and technical architecture discussions.

Skills Full Stack

- Strong experience with React.js / Next.js .
- Strong backend development experience with Python / Node.js .
- Proficiency in JavaScript/TypeScript .
- Experience building and consuming REST APIs.
- Experience with PostgreSQL,



MySQL, MongoDB , or similar databases.

ML / AI

- Practical experience with Machine Learning .
- Understanding of classification, regression, NLP, deep learning, or recommendation systems.
- Experience integrating ML models into production applications.
- Familiarity with scikit-learn, PyTorch, TensorFlow, or Hugging Face .
- Experience with LLMs, embeddings, vector databases, or AI APIs is a plus.

Cloud

- Experience with AWS, GCP, or Azure .
- Good understanding of Docker and containerization.
- Familiarity with CI/CD pipelines.
- Understanding of scalable and cloud-native application architecture.

Bonus

- Experience building AI-powered products or SaaS applications .
- Knowledge of RAG, vector search, embeddings, and prompt engineering .
- Experience with FastAPI .
- Familiarity with Kubernetes.
- Experience optimizing ML inference and application performance.
- Strong GitHub or open-source contributions.

Ideal Candidate

- Strong problem-solving and debugging skills.
- Comfortable working independently in a remote environment.
- Strong ownership and ability to deliver features end-to-end.
- Good understanding of system design and scalable architecture.
- Strong communication and collaboration skills.
- Passionate about building products at the intersection of software engineering and AI/ML .

📌 Full Stack Developer – ML (24 LPA) (India)
🏢 Jumbo Consulting
📍 India