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I’m kicking off a predictive analytics programme for an IT-focused business unit in Pune and need an experienced AI consultant who can wear the architect’s hat from day one. You’ll guide the full lifecycle: shaping the use-cases with stakeholders, auditing our existing data assets, then designing a scalable machine-learning stack that can move from PoC to production without rewrites. I expect you to be comfortable choosing the right mix of Python, scikit-learn, PyTorch or TensorFlow, setting up automated training pipelines, and wiring everything into a cloud environment (AWS, Azure or GCP—whichever best fits the roadmap we draft together). Strong MLOps habits, version-controlled experiments and CI/CD for models are must-haves because this project must be repeatable by the Pune team after hand-off. Key deliverables • Architecture blueprint covering data ingestion, feature store, model training, serving and monitoring • Detailed project plan with phased milestones and risk mitigation steps • A working MVP model deployed to a staging environment, documented so my in-house engineers can extend it • Knowledge-transfer sessions (onsite or remote) and concise run-books Acceptance criteria: the MVP should reach the agreed-upon performance benchmark on our hold-out set, build and deploy from a single command, and generate automated monitoring alerts. Most collaboration will be on Indian business hours, with at least occasional visits to the Pune office preferred. If you have led predictive analytics projects in the IT domain before and can start quickly, let’s discuss how you would tackle our data, timelines and team skill mix.
Project ID: 40493244
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