Date: February 25–26, 2027
Location: Bengaluru, India (with a parallel edition in Hyderabad)
Type: Developer Conference
Website: mlds.analyticsindiamag.com
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. Now in its 9th edition, the event is scheduled for February 25–26, 2027, and will run across two cities: Bengaluru and Hyderabad. With more than 3,000 attendees expected, MLDS 2027 continues to position itself as a central gathering point for the country’s machine learning and data science community.
Analytics India Magazine has built MLDS into a flagship fixture on India’s AI calendar over nearly a decade. The conference’s evolution mirrors the broader trajectory of the field itself — from foundational data science and analytics toward today’s focus on generative AI and autonomous agentic systems. The 2027 edition places agentic AI at the center of its programming, reflecting how quickly developer priorities have shifted toward systems that can plan, reason, and act with minimal human intervention.
What distinguishes MLDS 2027 from broader technology conferences is its developer-first orientation. Rather than treating AI as a business trend to be discussed at a high level, the event is structured around the practical concerns of people who build, deploy, and maintain machine learning systems. That focus, combined with its scale and two-city format, makes it a significant date for anyone working seriously with AI in India.
Why It Matters for AI Professionals
India’s developer ecosystem has become one of the most active in the world for applied AI, and MLDS 2027 sits at the intersection of that growth. For AI professionals, the conference offers a concentrated view of where the industry is heading — particularly around agentic systems, which represent one of the most consequential shifts in how software is designed and operated. Attending provides direct exposure to the tools, architectures, and engineering practices that teams are adopting in production environments.
The two-city format across Bengaluru and Hyderabad also reflects the geographic distribution of India’s AI talent and industry. Bengaluru remains the country’s largest technology hub, while Hyderabad has emerged as a major center for cloud, data, and AI development. By spanning both, MLDS 2027 gives attendees access to a broader cross-section of the ecosystem than a single-city event would allow, from early-stage startups to large enterprise engineering teams.
What to Expect
The 2027 edition covers a defined set of technical themes that map closely to current developer priorities. Based on the conference’s stated focus areas, attendees can expect programming across:
- Generative AI — model capabilities, fine-tuning, and applied use cases
- Agentic systems — the design and orchestration of autonomous AI agents, the conference’s headline theme
- Large language models (LLMs) — architecture, evaluation, and deployment considerations
- MLOps — the pipelines, tooling, and infrastructure that keep models running reliably in production
- Responsible AI — governance, safety, and ethical considerations in deployed systems
Specific speakers, session schedules, and track breakdowns for MLDS 2027 are details to be announced. Given the event’s history and scale, the program is expected to include a mix of technical talks, developer-focused sessions, and opportunities for hands-on learning, though the organizer has not yet published the full agenda.
Who Should Attend
MLDS 2027 is designed primarily for practitioners. Software developers, machine learning engineers, data scientists, and MLOps specialists will find the most direct value in the technical programming, particularly those working on or evaluating agentic AI and LLM-based systems. Researchers focused on applied work will also find relevant material across the generative AI and responsible AI themes.
Beyond individual contributors, the conference is relevant to technical leaders — engineering managers, heads of data science, and architects — who need to understand the current state of tooling and practice before making platform and hiring decisions. Given the scale of the event and its two-city footprint, it also serves as a networking hub for the Indian AI community, making it useful for founders and team leads building AI-focused products. Executives seeking a high-level market overview may find the developer-centric format less tailored to their needs, though the breadth of the attendee base offers substantial networking value.
How to Register
Registration for MLDS 2027 is handled through the official conference website at https://mlds.analyticsindiamag.com/ai-conference-india-2027. The site provides the most current information on passes, the full agenda, and speaker announcements as they are released.
Pricing details, ticket tiers, and any early-bird or group rates for MLDS 2027 are to be announced. Prospective attendees should check the official website directly for the latest registration information, as the organizer has not yet published pricing for the 2027 edition. Given that the 2026 event drew thousands of attendees, early registration is advisable once passes become available.
