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Senior Manager, Applied AI Engineering (AI Studio)
Lead a team of engineers to design, build, and deploy AI and automation solutions for Amgen’s AI Studio, turning business challenges into scalable, production-ready products with measurable impact.
Data Scientist-in Python, Nifi, Airflow, SQL,pandas, numpy, scikit-learn, TensorFlow, PyTorch,MLOps ,AWS,Databricks
Build, deploy, and monitor ML/AI models in Python using TensorFlow/PyTorch, orchestrate pipelines with Airflow/Nifi, and scale on AWS/Databricks.
Technical Architect - ML
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.
IN_Senior Associate_Data Engineering_Emerging Business_Advisory_Bangalore
Designs and maintains AWS-based DevOps infrastructure, CI/CD pipelines, and Kubernetes clusters for PwC’s Advisory team, focusing on automation, scalability, and observability for client solutions.
Lead AI Engineer
Lead the design and delivery of enterprise-scale AI systems, including agentic workflows, LLM applications, and MLOps tooling, using Python/Go and cloud-native stacks.
Data Scientist
Data Scientist applying ML, predictive modeling, and GenAI/LLM techniques on AWS to deliver insights for Barclays' Corporate Bank, using Python, SQL, and data visualization tools.
Data Scientist - AI & ML
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.
Distinguished Technical Architect, Data & AI
Senior role designing enterprise-scale AI and data architectures for Salesforce’s Agentforce and Data360 platforms, engaging C-suite customers across EMEA to drive adoption and strategy.
Custom Software Engineer
Build and maintain Java-based full-stack applications using modern frameworks, cloud services, and DevOps practices to deliver scalable enterprise solutions.
Custom Software Engineer
Build enterprise-grade Java full-stack apps with React/Angular, cloud-native services, and AI integrations while collaborating on secure, scalable solutions in multi-cloud environments.
Custom Software Engineer
Build enterprise-grade Java/.NET/Python applications with React/Angular front ends, deploy to AWS/Azure/GCP, and integrate basic AI features using cloud services.
Custom Software Engineer
Build and deploy enterprise-grade Java/.NET/Python applications with React/Angular frontends, integrating AI features and cloud services across AWS/Azure/GCP.
Custom Software Engineer
Build enterprise-grade Java full-stack apps using React/Angular, cloud services (AWS/Azure/GCP), and basic AI integrations while collaborating on scalable, secure solutions.
Custom Software Engineer
Builds AI-integrated, cloud-native enterprise applications using Java/.NET/Python, React/Angular, and multi-cloud platforms (AWS/Azure/GCP) to solve complex business problems with automation and generative AI.
Custom Software Engineer
Build enterprise-grade Java/.NET/Python apps with React/Angular front ends and integrate basic AI features in multi-cloud environments.
Custom Software Engineer
Build and maintain Java-based full-stack applications using modern frameworks, cloud services, and DevOps practices to deliver scalable enterprise solutions.
Custom Software Engineer
Build enterprise-grade Java full-stack apps and integrate AI features using cloud services and modern frameworks like React/Angular.
Custom Software Engineer
Build enterprise-grade Java/.NET/Python apps with React/Angular front ends and integrate AI features in multi-cloud environments.
Custom Software Engineer
Builds custom enterprise software solutions using Java/.NET/Python, cloud platforms (AWS/Azure/GCP), and AI/ML tools to automate workflows, integrate systems, and optimize performance for large-scale business applications.
Custom Software Engineer
Build enterprise-grade Java/Python full-stack apps and integrate AI features using cloud services (AWS/Azure/GCP) to automate workflows and deliver scalable solutions.