5,266 data science jobs in India.

... 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 ...

... companies. Job Title: Data Warehouse Engineer Workplace Type: Remote The future is bright for the Porch Group, and we'd love for you to be a part of it as our Data Warehouse Engineer with the Data team . We are seeking a Data Warehouse Engineer to join our data team as a strong individual contributor. In this role, you will ...

Suggested Full time Contract work Hybrid work Worldwide

Description : EXP : 8+yrsLocation : ChennaiRole : Technical Architect Job Summary : We are looking for an experienced Snowflake & Data Warehouse Architect to design and optimize scalable cloud-based data warehouse solutions. The candidate should have strong expertise in Snowflake, modern data warehousing principles, ELT ...

SAS Clinical Remote job Full time

... specifically designed to support AI/ML workflows, including feature engineering and model training datasets. Design and implement robust data pipelines, data lakes, and data warehousing solutions. Partner with data scientists and analysts to deploy machine learning models and analytics solutions on Databricks. Enhance Databricks cluster ...

... & SPOKE teams to independently build trusted data products aligned with the OneData https://jobeax.com/link/2Y4cCTL2qZrUlGJ5 You'll Do : - Create enterprise data models (ERDs), semantic architectures using Databricks Metric Views, and Databricks Genie solution architectures to support trusted data products, self-service ...