Between Hinjewadi's service-floor ML roles and Pune's research labs lies a gap: applied intelligence where your model's output changes decisions on real acres. This internship fills it remotely — vision models reading crop stress, retrieval pipelines answering farmer queries, quantised models running offline at the field edge. All software, all mentored, no relocation required from anywhere in Pune.
Competing with Hinjewadi for the same talent
PICT, VIT, COEP, MIT-WPU, and SPPU-affiliated statistics departments juggle internship offers from IT services giants. What we offer is different in kind: ownership of a model pipeline end to end, agricultural datasets nobody else has, and mentors who review pull requests rather than timesheets.
Edge deployment as a differentiator
Hinjewadi trains cloud thinking; farms need on-device inference when connectivity drops. Interns learn quantisation and ONNX export so models run offline in the field — a résumé line that separates you from every cloud-only peer in the city.
Quick Facts for Pune Applicants
- Track: Artificial Intelligence & Machine Learning internship within AnaVruksha's precision-agriculture programme.
- Eligibility: Open to both diploma and engineering degree students — B.Tech/B.E./Diploma in Computer Science, AI/ML, Data Science, IT, Electronics, or related fields. Python proficiency expected; prior model experience helps but isn't assumed.
- Duration: Every internship runs in three duration options: 6 weeks, 12 weeks, or 24 weeks.
- Certification & PPO: A completion certificate is awarded on finishing your track. Strong performers are considered for performance-based conversion to a pre-placement offer after a 3-month extension.
Pune Artificial Intelligence & Machine Learning FAQs