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CodeZio - Full Stack Developer - AI / ML

CodeZio - Full Stack Developer - AI / ML

CodeZioDelhi, IN
10 days ago
Job type
  • Remote
Job description

Job Title : Full Stack Developer - AI / ML

Location : Pune / Delhi (Hybrid - Partially Remote)

Experience : 4-9 Years

Notice Period : Up to 30 Days

About the Role :

We are looking for a highly skilled Full Stack Developer with strong AI / ML expertise to design and build scalable, intelligent applications. You will work closely with data scientists, ML engineers, and product teams to implement AI-driven features and deliver robust, high-performing web Responsibilities :

  • Design and develop end-to-end web applications integrating AI / ML models into production.
  • Build scalable, secure, and high-performance backend services and REST / GraphQL APIs.
  • Develop responsive, modern front-end interfaces with seamless user experiences.
  • Collaborate with data science teams to deploy, monitor, and optimize ML models in production.
  • Implement best practices for CI / CD, code quality, and cloud-based deployment.
  • Troubleshoot and optimize performance across the full technology Skills & Qualifications :
  • 4-9 years of experience in full stack development with exposure to AI / ML applications.
  • Strong proficiency in Python (Django / Flask / FastAPI) or Node.js for backend development.
  • Hands-on experience with frontend frameworks such as React.js, Angular, or Vue.js.
  • Solid understanding of machine learning model deployment, model serving frameworks (e.g., TensorFlow Serving, TorchServe, MLflow).
  • Experience with cloud platforms (AWS / Azure / GCP) and containerization (Docker, Kubernetes).
  • Strong knowledge of REST / GraphQL APIs, microservices architecture, and databases (SQL & NoSQL).
  • Familiarity with AI / ML libraries : TensorFlow, PyTorch, Scikit-learn, or similar.
  • Excellent problem-solving skills and a strong understanding of software engineering best to Have :
  • Experience with MLOps pipelines, model monitoring, and automated retraining.
  • Knowledge of big data technologies (Spark, Kafka) and data engineering workflows.
  • Exposure to LLMs (Large Language Models) and GenAI :
  • B.Tech / M.Tech in Computer Science, Engineering, or related field (or equivalent practical Join Us :
  • Opportunity to work on cutting-edge AI / ML solutions with high-impact applications.
  • Flexible partially remote work environment in Pune / Delhi.
  • Competitive compensation of ?1630 LPA and growth-oriented culture.

(ref : hirist.tech)

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