Open jobs in India: on-site, hybrid and remote.
26 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; GurugramIndia & South Asia
We are looking for a Digital Success Manager to foster high-impact customer relationships at scale by leveraging data, automation, and digital channels to deliver…
Remote · Remote - IndiaIndia & South Asia
Agent reasoning and orchestration: multi-step task planning, action selection, retry and fallback logic, and supervisor and sub-agent patterns
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…
Remote · GurugramIndia & South Asia
The support engineer at Netomi will be a Subject Matter Expert on Netomi’s offerings from Product, Technical and Business perspectives.
As an Employer Brand Analyst, you will support the delivery of our India Employer Brand strategy during a period of significant hiring growth.
This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB…
This Sr Data Analyst will join our analytics org within the Executive Insights team, which is responsible for synthesizing revenue and operational data from across the…
As a Manager, Technical Services, you will lead a team of highly skilled support engineers.
This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB…
Remote · Remote - IndiaIndia & South Asia
Architect and implement scalable, secure, and reliable data pipelines using modern data platforms (e.g., Spark, Databricks, Airflow, Snowflake, etc.)
Remote · Remote - IndiaIndia & South Asia
Architect and implement scalable, secure, and reliable data pipelines using modern data platforms (e.g., Spark, Databricks, Airflow, Snowflake, etc.)