Full Stack Developer – ML (24 LPA)

Location: Remote – India

Experience: 3–6 Years

CTC: Up to ₹24 LPA

Type: Full-Time

RoleWe 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 modern 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.SkillsFull 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.