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Build and maintain cloud data pipelines and analytics for banking/insurance clients using Spark, Kafka, AWS, and Python, with a focus on data quality and risk/finance reporting.
Build and secure big-data pipelines to turn raw naval-system data into real-time dashboards and anomaly-detection models for maintenance and decision support.
Build and maintain the global data platform that powers Octopus Energy’s energy trading, forecasting, and risk operations using Python, SQL, Kubernetes, and AWS.
Build and maintain secure Kubernetes-based platforms for defense and security clients, automating deployments with Java/Python, Terraform, and Ansible while ensuring data quality and compliance.
Build and run Kubernetes-based lakehouse platforms for a large bank’s data stack, automating deployments with GitOps and optimizing Spark/Trino workloads.
Build open-source AI integrations and example apps that connect cloud storage with AI workflows using Python, Go, and AI coding tools like Claude Code.
Build and scale automated, self-healing big-data platforms using Kubernetes, Terraform, Spark and Hadoop; advise clients on data-infra best practices.
Build full-stack SaaS products using Go and Python backends with React frontends, refactoring systems and integrating healthcare datasets in AWS.
Python Developer building data-driven tools and solutions, collaborating with global teams to analyze public databases and maintain clean, documented code in Jupyter notebooks.
Mid-level Python developer builds and maintains data-processing scripts using Pandas, NumPy, and file-handling libraries, writes unit tests, and collaborates with analysts and engineers.
Build and refine conversational AI tools and autonomous agents to help supply-chain teams query data and automate workflows using Python, SQL, and LLM APIs.
Build and maintain scalable ETL pipelines and data warehouses using Python, PySpark, and SQL to process structured, semi-structured, and unstructured data for analytics and reporting.
Build and scale cloud-native data platforms and pipelines for a major bank, enabling AI-driven customer experiences, CRM, and analytics using AWS, Snowflake, Python, and Airflow.
Build enterprise-grade Generative AI and AI/ML platform services, APIs, and agentic workflows using Python, FastAPI, Kafka, and Kubernetes to accelerate AI adoption for clients in banking and consumer sectors.
Build and deploy AI/ML models to improve search and discovery for researchers in intellectual property and science, using Python, cloud platforms, and MLOps tools.
Lead a team building an AI agent orchestration engine that coordinates generator and critic agents to produce, evaluate, and refine marketing content for Capital One’s enterprise platform.
Senior Data Analyst (LTV / Predictive Analytics) StellarTech is a B2C mobile publisher in EdTech: subscription apps, in-app monetization and performance marketing at scale. LTV prediction is how we decide where to…
Design and build AI/ML models to solve real-world problems, using Python and frameworks like PyTorch or TensorFlow, while collaborating in a hybrid office setup.
Build and optimize high-performance trading systems in Python, focusing on distributed computing, AI tools, and low-latency infrastructure for a quantitative trading firm.
• OCI Data Science Platform: Build, train, evaluate and deploy machine learning models using OCI Data Science, notebooks and Python-based ML solutions. • Data Preparation & Feature Engineering: Perform data…
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