Java-Python AI Integration -- 2
Budget: ₹12,500 – ₹37,500 INR
I need an experienced full-stack developer who can look at my existing Java- and Python-based application, identify where machine learning will add the most value, and then build those features over the coming eight months.
Your first task will be a short discovery sprint carried out through TeamViewer: we will walk through the codebase together, map the data flows, and agree on the key machine-learning opportunities. The priority use-case is classification, and it must surface across:
• the user interface (smart suggestions and contextual prompts)
• backend processing (automated decisions and scoring)
• data analytics (actionable insights and dashboards)
Once the roadmap is clear, you’ll pick up fortnightly stories in our tracker, write clean, test-covered code, and push via Git. I expect regular demos, concise documentation, and proactive optimisation advice along the way. Success is measured by accurate model performance in production, seamless integration in the UI, and maintainable code that the in-house team can extend after the contract ends.
If you thrive on hands-on problem-solving, can collaborate live over remote sessions, and are comfortable spanning both Java and Python ecosystems, let’s talk.
Your first task will be a short discovery sprint carried out through TeamViewer: we will walk through the codebase together, map the data flows, and agree on the key machine-learning opportunities. The priority use-case is classification, and it must surface across:
• the user interface (smart suggestions and contextual prompts)
• backend processing (automated decisions and scoring)
• data analytics (actionable insights and dashboards)
Once the roadmap is clear, you’ll pick up fortnightly stories in our tracker, write clean, test-covered code, and push via Git. I expect regular demos, concise documentation, and proactive optimisation advice along the way. Success is measured by accurate model performance in production, seamless integration in the UI, and maintainable code that the in-house team can extend after the contract ends.
If you thrive on hands-on problem-solving, can collaborate live over remote sessions, and are comfortable spanning both Java and Python ecosystems, let’s talk.