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 represents one of the most significant gatherings of AI practitioners in the country.
Analytics India Magazine has built MLDS into a flagship fixture on India’s technology calendar over nearly a decade. The conference’s evolution mirrors the broader trajectory of the field itself — from foundational machine learning and data science workflows to today’s focus on generative AI, agentic systems, and large language models. The 2027 edition places agentic AI at the center of its programming, reflecting how quickly autonomous and semi-autonomous AI systems have moved from research curiosity to production priority for development teams.
For developers, MLDS 2027 is less a spectator event than a working conference. The dual-city format across Bengaluru and Hyderabad — two of India’s most active technology hubs — gives attendees in both locations access to the programming, while the scale of 3,000+ participants creates substantial opportunities for peer learning, hiring conversations, and ecosystem building.
Why It Matters for AI Professionals
India’s developer community is no longer just consuming AI tooling built elsewhere — it is building, deploying, and scaling it. MLDS 2027 arrives at a moment when agentic systems are reshaping how software is designed, and when questions of reliability, evaluation, and governance for LLM-based applications have become everyday engineering concerns. A conference dedicated to this transition, organized by a publication that covers the Indian AI ecosystem daily, offers a concentrated view of where practitioner attention is actually going.
Attendees gain more than session content. The event functions as a checkpoint on the state of the field: which frameworks are gaining traction, how MLOps practices are adapting to generative workloads, and what responsible AI means in deployment rather than in principle. For professionals navigating rapid change, that kind of orientation has practical value.
What to Expect
MLDS 2027’s programming centers on the technologies driving current AI development. Confirmed coverage areas include:
- Generative AI — architectures, applications, and production lessons
- Agentic systems — the conference’s headline theme, reflecting the shift toward autonomous AI workflows
- Large language models — training, fine-tuning, and deployment considerations
- MLOps — operational practices for managing models and pipelines at scale
- Responsible AI — safety, governance, and ethical deployment concerns
Specific speakers, session schedules, and track breakdowns for MLDS 2027 are details to be announced. Given the event’s developer-first positioning, expect a mix of technical deep dives, hands-on content, and practitioner case studies rather than high-level keynotes alone.
Who Should Attend
MLDS 2027 is designed primarily for developers and engineers working with machine learning, data science, and AI systems. Data scientists, ML engineers, and software developers building with LLMs or agentic frameworks will find the core programming most directly relevant.
The event also suits technical leaders — engineering managers, AI product owners, and architects — who need to understand how agentic and generative systems fit into production roadmaps. Researchers tracking applied developments in the field, and executives seeking a grounded view of India’s AI talent and tooling landscape, will also find value in the scale and composition of the attendee base.
How to Register
Registration for MLDS 2027 is handled through the official conference website: https://mlds.analyticsindiamag.com/ai-conference-india-2027. Pricing tiers, early-bird rates, and group registration options are details to be announced — check the official site for the most current information.
With the 9th edition spanning Bengaluru and Hyderabad and drawing 3,000+ attendees, MLDS 2027 is positioned as a key date for India’s agentic AI developer community. Those planning to attend should monitor the official website for agenda and registration updates as February 2027 approaches.