Date: February 25–26, 2027
Location: Bengaluru, India (with additional programming in Hyderabad)
Type: 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 will run from February 25 to 26, 2027, with programming spanning both Bengaluru and Hyderabad. With more than 3,000 attendees expected, MLDS 2027 has established itself as a central gathering point for India’s machine learning and data science community.
Analytics India Magazine has built MLDS into a flagship event that reflects the rapid evolution of the country’s AI ecosystem. The 2027 edition places particular emphasis on agentic AI — systems that can plan, reason, and act autonomously — a theme that has moved from research curiosity to production priority for many engineering teams. By anchoring the conference around this topic while still covering the broader machine learning and data science landscape, MLDS 2027 aims to serve both specialists and generalists working across the AI stack.
The dual-city format is notable. Rather than concentrating all activity in a single venue, MLDS 2027 extends across Bengaluru and Hyderabad, two of India’s most active technology hubs. For attendees, this means access to a wider range of sessions, workshops, and networking opportunities than a single-city event could accommodate — and for sponsors and employers, it means exposure to talent pools in two major markets.
Why It Matters for AI Professionals
India’s developer community has become a significant force in global AI development, and MLDS has grown alongside it. For professionals working in machine learning, data science, and adjacent engineering roles, the conference offers a concentrated view of where the field is heading — particularly around agentic systems, which require new approaches to orchestration, evaluation, and safety. Attending MLDS 2027 provides a chance to see how peers and leading organizations are translating these concepts into working systems.
The event also functions as a practical networking and hiring hub. With 3,000+ attendees, MLDS 2027 brings together practitioners, researchers, startup founders, and enterprise teams under one umbrella. For developers looking to deepen their skills or explore new roles, and for organizations seeking to understand the competitive landscape, the conference offers direct access to the people shaping India’s AI industry.
What to Expect
MLDS 2027 is structured around the themes defining contemporary AI practice. According to the organizers, the program covers:
- Generative AI — model architectures, fine-tuning, and applied use cases
- Agentic systems — autonomous agents, tool use, and multi-agent orchestration
- Large language models (LLMs) — training, deployment, and evaluation
- MLOps — pipelines, monitoring, and operationalizing models at scale
- Responsible AI — governance, safety, and ethical deployment considerations
As a developer-focused conference, sessions are expected to lean toward technical depth rather than high-level overviews. The specific speaker lineup, session schedule, and workshop details for MLDS 2027 are to be announced. Given the event’s history and the dual-city format, attendees can expect a mix of keynotes, breakout tracks, and hands-on content distributed across Bengaluru and Hyderabad.
Who Should Attend
MLDS 2027 is designed primarily for developers and technical practitioners — machine learning engineers, data scientists, AI researchers, and software engineers building with generative AI and agentic frameworks. The emphasis on agentic AI and LLMs makes it especially relevant for those working on production systems rather than purely theoretical research.
Beyond core technical roles, the conference is also suited to engineering managers, technical leads, and product leaders who need to understand the capabilities and constraints of modern AI systems. Startup founders and enterprise innovation teams will find value in the networking and vendor exposure, while recruiters and talent teams can connect with a concentrated pool of AI-skilled professionals. Researchers interested in applied work — as opposed to academic publication — will also find the program relevant.
How to Register
Registration for MLDS 2027 is handled through the official conference website: https://mlds.analyticsindiamag.com/ai-conference-india-2027. The site provides the latest information on ticket categories, group rates, and the full agenda as it is finalized.
Pricing details for MLDS 2027 are to be announced. Prospective attendees are encouraged to check the official page regularly, as early-bird rates and developer-focused discounts are common for events of this scale. Given the expected attendance of 3,000+ and the conference’s growing profile, early registration is advisable once tickets become available.
