Open jobs in India: on-site, hybrid and remote.
13 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.
Mumbai, Maharashtra, IndiaIndia & South Asia
You will work across the Python backend, React frontend, APIs, integrations, and database layer while making sound engineering trade-offs and delivering maintainable…
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…
We are looking for a Staff Applied Science Manager to lead and grow a team of talented data scientists who have direct impact on our company metrics.
Hyderabad, Telangana, IndiaIndia & South Asia
Deep production engineering experience: Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs…
Bengaluru, Karnataka, IndiaIndia & South Asia
Deep production engineering experience: Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs…
Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to…
We are looking for an Applied Scientist III to join our algorithmic and research science team. As an Applied Scientist, you will not just "use models"—you will formulate…
As an Architect/Staff Engineer I at InMobi, you will be a mentor, technical leader driving the design, development, and delivery of Agentic AI solutions on Salesforce…
We are looking for a highly experienced and proactive Executive Assistant to provide comprehensive administrative and strategic support to senior leadership.
AI/ML Engineering, Generative AI, LLMs, RAG, Agentic AI, MCP, Python, REST API Development, Spark, Java/J2EE, Airflow, Databricks, GKE, GCP, Microsoft Azure, Databases…
We are looking for a Staff Machine Learning Manager to build and lead the ML function for Accelerate.