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Build and deploy ML models and data pipelines in Python/SQL, optimizing for production performance and real-time insights in a cloud environment.
Maintain and optimize core ML systems for a large FTSE 100 company, debugging data flows and forecasting models using Python, GCP, and Vertex AI.
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.
Analyze marketing data to deliver insights and visualizations that guide Visa’s European campaigns and strategic deals using SQL, Python/R, and data storytelling.
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.
Build and deploy ML models to optimize healthcare copay programs and extract insights from pharmaceutical data using Python, R, and MLOps tools.
Build and deploy Python-based AI and analytics solutions to transform financial data into actionable insights for Parameta Solutions, leveraging AWS and generative AI.
Build, deploy, and monitor ML/AI models in Python using TensorFlow/PyTorch, orchestrate pipelines with Airflow/Nifi, and scale on AWS/Databricks.
Build and maintain data pipelines, dbt models, and warehouse infrastructure for a fintech POS financing platform, ensuring reliable, high-quality data for analytics and reporting.
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.
Lead the build and operation of MLOps platforms on AWS for autonomous-driving ML workloads, using Ray, Kubernetes, Airflow, and MLflow to ensure reproducible, traceable, and auditable pipelines.
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.
Builds and deploys production-grade agentic AI systems (LLMs, RAG, orchestration) for American Express’s global commercial services, integrating with cloud-native stacks (Go/TypeScript/Python, AWS/GCP, Kafka, Kubernetes) to enhance customer-facing financial solutions.
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…
Leads Supply Chain data pipelines, dimensional/semantic models, and cloud-based analytics (GCP, BigQuery, Airflow) to enable planning, procurement, and logistics decisions for a global food manufacturer.
Lead architecture and implementation of secure, scalable cloud-native platforms on AWS and Kubernetes for a government mission-critical environment, using DevSecOps, CI/CD, and SRE practices.
Lead architecture and implementation of secure, scalable cloud-native platforms using AWS, Kubernetes, and DevSecOps for a government-focused IT contractor.
Leads AI/ML projects end-to-end, from problem definition to deployment, using Python, TensorFlow, and PyTorch to build models for forecasting, optimization, and anomaly detection, then collaborates with engineers and business teams to drive data-driven business decisions.
Build and automate cloud demo environments for Salesforce’s AI CRM, using Terraform, Kubernetes and CI/CD to keep demos reliable and cost-efficient.
Design and build scalable data pipelines and warehouse models to deliver trusted insights from product and corporate systems to Salesforce teams using ETL, SQL, and big-data tech.
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