MLDS 2027 – Machine Learning and Data Science Conference: Everything You Need to Know

What Is MLDS 2027?

MLDS 2027 — the Machine Learning and Data Science Conference — is India’s largest agentic AI conference for developers. Organized by Analytics India Magazine, the event returns for its 9th edition on February 25–26, 2027, running across two Indian tech hubs: Bengaluru and Hyderabad. With more than 3,000 attendees expected, MLDS 2027 sits at the center of the country’s applied AI and data science community.

Analytics India Magazine has built MLDS into a fixture of India’s AI calendar over nearly a decade. Each edition has tracked the field’s evolution — from classical machine learning and analytics to the generative AI wave and, now, the rise of agentic systems. The 2027 edition reflects that trajectory directly: its programming is anchored in agentic AI, the paradigm in which autonomous, tool-using AI agents plan and execute multi-step tasks rather than simply responding to prompts.

For developers, that focus matters. Agentic systems demand new engineering practices — orchestration, memory management, evaluation, guardrails, and observability — that sit well beyond prompt engineering. MLDS 2027 is positioned as a venue where those practices are discussed at a technical depth suited to the people building them.

Why It Matters for AI Professionals

India’s developer ecosystem is one of the largest in the world, and its AI practitioners are increasingly moving from experimentation to production. MLDS 2027 addresses that shift. The conference’s coverage of generative AI, agentic systems, large language models, MLOps, and responsible AI maps closely to the stack decisions teams are making today: which models to deploy, how to operationalize them, and how to do so responsibly.

Attendees gain more than session content. A 3,000-plus gathering of developers, data scientists, and engineering leaders creates a concentrated networking environment — a chance to compare architectures, hiring practices, and tooling choices with peers facing similar problems. For teams evaluating agentic AI frameworks or scaling LLM applications, the two-day format offers a compressed view of where the industry is heading.

What to Expect

The 2027 edition spans two cities, with the primary program in Bengaluru and a parallel presence in Hyderabad. Core themes include:

• Generative AI — applied techniques, model selection, and production deployment
• Agentic systems — the conference’s headline focus, covering autonomous agents and multi-agent architectures
• Large language models — training, fine-tuning, evaluation, and inference at scale
• MLOps — pipelines, monitoring, and lifecycle management for machine learning in production
• Responsible AI — safety, governance, and ethical deployment practices

Specific speakers, session schedules, and track breakdowns are details to be announced. Given the event’s developer-first framing, expect hands-on and engineering-oriented content alongside strategic sessions.

Who Should Attend

MLDS 2027 is built primarily for practitioners. Software developers and ML engineers working on AI applications will find the most direct value, particularly those building or evaluating agentic systems and LLM-powered products. Data scientists and MLOps engineers responsible for moving models into production are equally well served by the MLOps and generative AI tracks.

The event also suits technical leaders — engineering managers, heads of AI, and architects — who need a grounded view of the agentic AI landscape before committing team resources. Researchers tracking the applied edge of LLM systems will find relevant material, though the conference’s orientation is toward building rather than academic publication. Given the scale and dual-city format, attendees from across India can participate without extensive travel.

How to Register

Registration details, ticket tiers, and pricing for MLDS 2027 are to be announced. The official event page is the authoritative source for updates:

https://mlds.analyticsindiamag.com/ai-conference-india-2027

Given that past editions have drawn thousands of attendees, prospective participants are advised to monitor the site for early registration windows and agenda releases as February 2027 approaches.