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Build and deploy AI/ML models for clients, from data prep to production, while collaborating with engineers and stakeholders to optimize business processes.
Builds and deploys scalable machine-learning solutions for enterprise clients, working with MLOps platforms, cloud tools, and AI frameworks like TensorFlow and PyTorch.
Build and deploy scalable machine-learning solutions on Google Cloud for enterprise clients, collaborating with data scientists and engineers to implement MLOps pipelines and AI observability tools using Python and SQL.
Support clients in designing and implementing data governance frameworks, processes, and tools, including data quality, cataloging, and security, using SQL, ETL, and MDM platforms.
Write and execute test cases, run functional, regression, integration, and user-acceptance tests, and work with dev teams to resolve bugs for enterprise software projects.
Principal Data Engineer designs and scales enterprise-grade data infrastructure and real-time pipelines to power AI-driven analytics and autonomous agents at Salesforce.
Builds backend services in Java/Spring for enterprise clients, designing REST APIs and participating in Agile teams.
Lead a team to build and scale cloud-based data platforms (Snowflake, SQL Server) that power analytics and AI, while defining enterprise data strategy and governance.
Lead a team to design and deploy scalable data pipelines using Hadoop, Spark, Kafka, and NoSQL stores, enabling batch and real-time analytics for machine learning and search applications in a fintech environment.
Build and optimize scalable data pipelines and generative-AI systems for Amgen’s manufacturing knowledge layers, using PySpark, Databricks, vector stores, and LLMs.
Senior backend engineer building scalable APIs and microservices for an ad-tech platform, integrating third-party SaaS and proprietary systems in AWS while mentoring junior engineers.
Build and deploy machine-learning models in Python and Spark on AWS to predict credit losses and portfolio performance for Capital One’s consumer lending business.
Design and prototype Databricks Lakehouse architectures for enterprise clients, building scalable data/AI platforms and guiding delivery teams on Delta Lake, Unity Catalog, and Mosaic AI.
Build and deploy production-grade LLM and generative AI solutions, including RAG pipelines and AI agents, using Python, cloud-native tools, and frameworks like LangChain and AWS Bedrock.
Design and maintain data pipelines, build analytics solutions, and train teams on data systems for government clients using Python, SQL, and cloud tools.
Build and deploy secure AI/ML systems for NATO, including LLMs and data pipelines, in cloud/hybrid environments while adhering to strict security and compliance requirements.
Design and build core backend services for a leading FinTech platform, using Java, Kotlin, Go, Python, or Scala to power trading and financial products.
Lead a Java-based compiler and validation toolchain that turns map data into automotive-grade NDS/NDS.Live formats for self-driving cars.
Builds and maintains large-scale geospatial data pipelines and search systems that power Mapbox’s global mapping and navigation services using AWS, Python, and SQL.
Build scalable backend services and APIs for AI-driven healthcare products, integrating with healthcare/financial systems and productionizing ML features.
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