Open jobs in India: on-site, hybrid and remote.
10 jobs found · India
Onsite in BangaloreIndia & South Asia
We are looking for research-oriented M.S./Ph.D. scholars to explore and develop novel Deep Learning architectures and build efficient, trustworthy AI systems.
Bengaluru, KA, IndiaIndia & South Asia
As a Staff Machine Learning Engineer, you will serve as the critical architectural bridge between cutting-edge Data Science research and massive-scale, product-ready…
Hybrid in Bangalore, IndiaIndia & South Asia
People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love…
Bangalore, IndiaIndia & South Asia
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. All of our roles…
Hyderabad, TS, IndiaIndia & South Asia
As a Principal Engineer - Machine Learning on our AI/ML Engineering team, you will drive the architecture and technical strategy for core backend services powering our…
Bangalore, IndiaIndia & South Asia
As a Staff Data Analyst, you'll turn raw data into actionable insights that inform strategic decisions across GitLab's global Support Engineering organization.
Chennai, TN, IndiaIndia & South Asia
As a Principal Engineer - Machine Learning on our AI/ML Engineering team, you will drive the architecture and technical strategy for core backend services powering our…
Bangalore, IndiaIndia & South Asia
As a Staff Backend Engineer, you will provide technical leadership across your team and adjacent teams, solving the highest-scope and most complex problems in your area.
Hybrid in Bangalore, IndiaIndia & South Asia
As a Product Analyst II at HackerRank, you will own the end-to-end analytics for our products and platforms, working across AI-powered experiences, developer-facing…
Hybrid in Bangalore, IndiaIndia & South Asia
As Lead Data Engineer, you'll be a senior individual contributor at the heart of the data organisation - owning complex platform decisions, collaborating…