5,114 data science jobs in India.

... industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. We push the limits of innovation to solve the world's most important challenges. SMTS SILICON DESIGN ...

... expert in designing and implementing next-gen DNS, DHCP and IPAM solutions across Marriott International networks serving the requirements of Property Networks, Datacenter/Cloud Networks, and Corporate Networks. This role will work closely and collaboratively with a matrix team of expert network architects and engineers to ...

... working. We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information ...

... write clean code, check it against the agreed design, and help keep the platform secure, stable, and fast. You’ll also work with backend colleagues on APIs and data flow, join code reviews, and help solve production issues. When needed, you’ll support end users and look at better ways to build, test, deploy, and maintain ...

... AI/agentic systems Soft Skills - Ability to translate ambiguous infra pain points into AI-solvable use cases - Strong stakeholder management — bridges infra teams, data science teams, and business - Comfortable being hands-on (code/architecture) as well as strategic (roadmap, governance) EY | Building a better working world EY ...

... exposure; AI / AIOps Readiness: Ability to use AI-assisted investigation, anomaly detection, and correlation tools responsibly, with strong validation of evidence. Database: Hands-on SQL skills for operational diagnostics, data validation, and service health checks. Execution: Disciplined follow-through, evidence capture, documentation, ...

... innovation/acquisition products. Education/Experience: - 5-7 years of experience in Quality Assurance or Quality Test Engineering - BS degree with computer science, quality assurance, or engineering emphasis or equivalent preferred - Experience in different automation frameworks such as Data driven, Keyword driven and ...

... schedule. Education & Experience - BS/BA degree or equivalent experience in a relevant field such as: - Policy - Law - Ethics - Linguistics - Journalism - Computer Science - A related analytical field - Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred. Core Skill ...

... platform for middle-income consumers. Founded in 2019, Bright's founding team includes leaders from McKinsey's Banking Practice—Petko Plachkov and Avi Patchava—and data science leaders from InMobi. Bright is backed by leading global venture capital firms and technology investors across the U.S., Europe, and Asia. With a data-driven, ...

... configuration, telemetry, and documentation Select and evaluate agent frameworks, LLM providers, and orchestration patterns (e.g., API-based LLMs), accounting for the data-residency and security constraints typical of Tier-1 telco on-premise deployments Platform & Integration Engineering Architect the integration layer between agentic ...

... India's operations. The individual in this role will own defined workstreams within the ECR program charter, collaborating with program, product, tech, BI, and Science partners to execute, validate, and deploy customer experience capabilities. Successful candidates will have experience in Program Management, comfort working ...

... registers, and proactively address issues before they escalate.- Team leadership: Lead, motivate, and develop cross-functional pods comprising software engineers, data engineers, BAs, QA specialists, and scrum masters; sustain team velocity while managing attrition and bench gaps.- Agile and scrum governance: Drive sprint planning, ...

... be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world's largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, ...

... increasing demand for high-throughput screening and specialized diagnostic tools. Joining this organization offers the opportunity to work at the intersection of data science and biology, contributing to transformative technologies that directly impact the future of preventive healthcare and genomic research. This team is seeking ...

... Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI workflows, Prompt Engineering, and AI solution design.- Experience designing enterprise-scale AI, data, cloud, and integration architectures.- Hands-on experience with Azure AI Services, Azure OpenAI, AWS AI/ML, GCP AI, or equivalent cloud AI ecosystems.- Strong ...

... project or program needs. Manufacturing Analysis Led Design - Uses digital tools to model and simulate manufacturing processes, equipment and performance to make data driven decisions before changes are made and to drive continuous improvements. Manufacturing Knowledge - Demonstrates the knowledge of manufacturing by correctly ...

... registers, and proactively address issues before they escalate.- Team leadership: Lead, motivate, and develop cross-functional pods comprising software engineers, data engineers, BAs, QA specialists, and scrum masters; sustain team velocity while managing attrition and bench gaps.- Agile and scrum governance: Drive sprint planning, ...

... architecture and microsegmentation - Cisco Certified Internetwork Expert (CCIE) Routing & Switching or Enterprise Infrastructure - Cisco Certified Specialist - Data Center (CCNP Data Center or equivalent) - Cisco Certified Specialist - ACI (CCNA Data Center or CCNP Data Center with ACI focus) - Expert-level knowledge of Cisco ...

... systems . Experience building platforms that process large volumes of data or events with demanding requirements for reliability, latency and correctness. Strong data-modelling capability across one or more of relational, document, key-value, search or graph data stores. Experience with cloud-native engineering on AWS, Azure ...

... respective projects- Make extracted data accessible so that organisations can use it to optimise performanceWhat you will need :- Bachelors/Masters in Computer Science- At least 1 to 3 years of professional experience- 1+ years of experience working with Big Data systems involving Kafka, Apache Spark/EMR, Hive/Impala, Delta ...