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Build and optimize real-time distributed systems to process and deliver live sports data for Apple Sports, using Java, Kafka, Cassandra, and Redis.
Builds scalable GCP-based data pipelines and cloud infrastructure for Ford’s global finance data hub, focusing on batch/streaming ingestion, data warehousing, DevOps automation, and governance to enable enterprise reporting and analytics.
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and…
Build and deploy data/ML pipelines and models on cloud platforms, collaborating with engineers to power analytics and GenAI use cases for enterprise clients.
Leads AI and enterprise architecture at a health insurer, designing scalable AI solutions, cloud-native platforms, and governance frameworks to power customer-focused digital experiences.
Architect enterprise-grade data and AI solutions for Prudential’s insurance business, designing cloud-native platforms, ETL/ELT pipelines, and Agentic AI systems while ensuring governance and scalability.
Build and maintain scalable data pipelines using Azure Databricks, Azure Data Factory, and SSIS to support analytics and reporting for a Mumbai-based product team.
Designs and leads global enterprise data platforms, architecture frameworks, and AI-ready solutions, integrating cloud (Azure), ETL/ELT, and governance to enable scalable analytics and business decision-making.
Builds and maintains data pipelines, ingestion systems, and transformation workflows using Azure, Spark, Airflow, and Python/SQL to enable Clio’s legal AI platform’s data infrastructure, ensuring scalability and accessibility for internal and customer-facing analytics.
Designs and implements Reltio-based Master Data Management (MDM) solutions for Amgen’s pharma/life sciences data, focusing on data modeling, Lifecycle Actions, Python scripting, and API integrations to ensure golden record accuracy and compliance.
Lead the MLOps platform for autonomous-driving teams, building scalable AWS/Kubernetes pipelines with Ray, Airflow, and MLflow to train and deploy perception models in safety-critical automotive systems.
Design and implement scalable MLOps/LLMOps pipelines on AWS, including SageMaker, EKS, and CI/CD, to deploy and monitor production-grade AI models for enterprise clients.
This role is for one of the Weekday's clients Min Experience: 7+ years Location: Bengaluru JobType: full-time We are looking for a sharp, hands-on Engineering Manager to lead, mentor, and scale a hybrid team of…
Build and maintain data pipelines and ML models for USSOUTHCOM’s intelligence systems, integrating mission data into a Common Operational Picture using platforms like Maven Smart System and War Data Platform.
Build enterprise-grade GenAI apps in Python: LLMs, RAG pipelines, vector search, and agentic workflows for scalable, AI-powered solutions.
Here at Savista, we enable our clients to navigate the biggest challenges in healthcare: quality clinical care with positive patient experiences and optimal financial results. We partner with healthcare organizations…
Build and deploy production-grade ML systems for pharma manufacturing, quality, and supply chain at Roche, using Python, MLOps, and AWS.
Own the roadmap for Skechers’ Consumer Data Platform, turning customer data into smarter marketing, personalization, and digital experiences while partnering with engineering and business teams.
This role is eligible for our hybrid work model: 2 days in-office This job posting is for an existing, currently vacant position. Staff Portfolio Release Manager Our Technology team is the backbone of our company:…
Lead data science projects for a healthcare insurer, building predictive models and AI agents to detect fraud and inform policy decisions using Python, R, and Snowflake.
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