5,266 data science jobs in India.

... Experience with Infrastructure as Code (Terraform/CloudFormation) and DevOps tools such as GitHub Actions, Harness, or Jenkins. - Experience with GraphQL, Kafka, Databricks, or distributed data platforms. Experience with OpenTelemetry, Prometheus, Grafana, or New Relic. Experience mentoring engineers and contributing to architecture ...

... its integration with the OXRED platform. OXRED InsurShield – Neural network models and AI pipelines for vehicle damage detection. - Ensure interoperability, data flow, and integration among all product components. Deployment & DevOps - Manage deployment pipelines for OXRED MyFleet and other backend services. - Implement ...

... - Proficiency in Python, JavaScript/TypeScript, ReactJS, and NodeJS is required - Good to have effect (Typescript framework), Drizzle (ORM) - Proficiency in data structures, database concepts and algorithms is required - Experience in building software using event-driven architecture is highly desirable We are passionate ...

... pyramid, risk‑based testing, and shift‑left practices - Quality Governance — Ability to define coding standards, quality gates, and automation best practices - Test Data & Environment Strategy — Knowledge of synthetic data creation, stubs, mocks, and environment‑independent automation - Cross‑Functional Collaboration — Works effectively ...

Join Data Eminence as a remote Game Developer and help design, develop, and optimize engaging interactive gaming experiences. You'll work on gameplay systems, game mechanics, user interactions, performance optimization, and debugging. This role is ideal for entry-level candidates with strong programming fundamentals, creativity, ...

... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested ...

... models using appropriate algorithms, metrics, validation techniques, and feature engineering approaches.- Perform complex SQL-based data analysis, investigate data quality issues, and work with structured data models to derive meaningful insights.- Build reproducible and production-quality data science workflows using Python/R, ...

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing ...

... targeting, cohort analysis, reporting). Collaborate with engineering to ensure high-performance, secure, and scalable SaaS delivery. Data & Insights Work closely with data science to integrate advanced analytics (e.g., causal inference, machine learning-driven insights). Bachelor's degree in Business, Computer Science, Engineering, ...

... for data platforms, data warehousing, ETL pipelines, and business intelligence capabilities. Establish data governance frameworks and ensure compliance with data privacy, security, and regulatory requirements. Collaborate with Data Engineering and Data Science teams to build scalable and reliable data ecosystems. Ensure ...

We are looking for a Retail Data & Analytics senior Analyst to support data-driven decision-making across accounts. The ideal candidate will have strong knowledge of retail/e-commerce data , hands-on experience with Databricks and Power BI , and an intermediate understanding of Data Science and statistical modelling . The ...

... media, and analytics Showcase expertise in content marketing in creating engaging and impactful content across various platforms. Demonstrate proficiency in data analytics tools and possess the ability to interpret data to make informed marketing decisions. Stay abreast of AI and machine learning trends in marketing , ...

... agentic workflows, and AI-driven customer service - Create data and knowledge-base migration tools for SaaS applications, including moving embeddings and vector data between cloud instances - Experience with LLM orchestration and retrieval frameworks (e.g., LangChain, LlamaIndex) and vector databases (e.g., Strong problem-solving ...

... interfaces for enterprise data and analytics platforms. Integrate AI applications with enterprise systems through APIs and cloud-native services. Build scalable data pipelines and analytics solutions using large datasets. Partner with business stakeholders to identify and deliver high-impact AI and data science opportunities. ...

... reliability.- Infrastructure Management : Manage our multi-environment infrastructure deployed in AWS cloud, comprising Dockerized microservices in AWS ECS & various data stores and queueing technologies.- Automation : Leverage modern solutions like Terraform & Ansible to reduce manual efforts and increase https://jobeax.com/link/3T8us57ZNOTZBEWN ...

... Infrastructure and Architecture: Design, deploy, and manage security systems, including firewalls, Intrusion Detection/Prevention Systems (IDS/IPS), SIEM platforms, and data encryption protocols. Vulnerability and Risk Management: Conduct regular vulnerability assessments, code reviews, and configuration audits across infrastructure-as-code ...

... creation, and international localization, this role ensures our global web presence captures and converts prospective buyers. The ideal candidate is a strategic, data-driven person who seamlessly translates complex search algorithms into actionable business growth while partnering effectively across marketing, web, and regional ...

... infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks. We are ...

... Transformation6. Banking Operating Model & Process TransformationRequirements:- Bachelors degree (relevant experience can alternatively be considered) in Computer Science, Finance, or related fields.- 3+ years of experience in Business Analysis or Functional consulting in the Banking industry.- Data analytical skills; ability ...

Qualifications and Desired Skills M.C.A/M.S./M.Sc in Computer Science Engineering, or equivalent with a strong software architecture mindset and adept in documentation of work Strong understanding and experience in real-time process control, data flow and multi-threaded process control architecture over a heterogeneous ...