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This role leads a data science team at JPMorgan Chase to develop and deploy machine learning and AI solutions for consumer banking. The position requires hands-on technical leadership, stakeholder management, and expertise in big data technologies and statistical modeling.
The Staff Product Software Engineer (ML) will lead the development of prediction and optimization engines for Disney's advertising platforms. The role involves designing scalable AI/ML solutions, mentoring team members, and collaborating across teams to enhance ad serving capabilities using Java, Python, and Scala.
Staff-level, hands-on engineering leadership role at BP designing and delivering end-to-end data and AI solutions—including data pipelines, lakehouse architectures, and LLM/RAG-based applications—using Python, SQL, and distributed data platforms.
The Data Engineer will design, build, and maintain scalable data pipelines and workflows in Snowflake to support healthcare and life sciences clients. The role requires strong expertise in Snowflake, Python, and SQL to transform raw data into analytics-ready structures while adhering to DevOps and CI/CD best practices.
The Platform Engineer will design, deploy, and maintain data platforms using AWS, Terraform, and CI/CD pipelines. The role involves collaborating with cross-disciplinary teams to build scalable infrastructure and integrate data governance tools.
Senior Data Engineer at a defense/intelligence contractor, designing and implementing analytics (ML, geospatial, network science) for U.S. National Security customers using Python, R, SQL, TensorFlow, and Pandas—requiring significant prior intelligence analysis experience.
Machine Learning/AI Scientist PhD Intern at Netflix working on ML research including personalization algorithms, recommender systems, NLP, computer vision, and other ML areas using frameworks like PyTorch and TensorFlow.
Forward-deployed Data Engineer building and maintaining scalable data and AI solutions for government mission owners, spanning full-stack development, ETL pipelines, and agentic AI workflows using platforms like Palantir Foundry/AIP/Gotham and Advana.
Design, build, and maintain scalable data pipelines and data products on cloud platforms using Snowflake, Python, dbt, Airflow, and AWS services for enterprise analytics and compliance.
The Senior Lead AI Engineer will design and deploy foundational AI systems, including LLM customization, fine-tuning, and reinforcement learning, to enhance banking products. The role involves optimizing large-scale production AI infrastructure for performance and scalability using technologies like PyTorch, AWS, and vector databases.
This role involves developing and operationalizing generative AI and machine learning models to process unstructured data for financial services. The data scientist will collaborate with cross-functional teams to build scalable AI solutions using tools like PyTorch, LangGraph, and AWS to improve customer experiences.
The Data Scientist will build and implement machine learning models for credit underwriting and business card strategies using Python, AWS, and Spark. They will collaborate with cross-functional teams to analyze large datasets and translate complex findings into business solutions.
The Lead Software Engineer will design and develop scalable full-stack Java applications for Mastercard's payment reconciliation products. The role involves leading engineering teams, implementing microservices, and integrating AI-driven solutions within a cloud-native environment.
Leads customers in designing and implementing secure, scalable big data solutions on Databricks, focusing on cloud infrastructure, security, and performance optimization for production workloads.
Guide strategic customers in designing and implementing secure big data solutions on the Databricks Data Intelligence Platform, focusing on cloud infrastructure security, network architecture, and security lakehouse workloads across ASEAN and Greater China.
Senior Solutions Engineer driving pre-sales for Databricks in Thailand, delivering hands-on technical evaluations, reference architectures, and proofs-of-concept using Apache Spark, Python/Java/Scala, and major public clouds.
Solutions Architect at Databricks partners with Thai clients to design and implement the Data Intelligence Platform, leveraging big data and cloud technologies to solve complex analytics challenges.
Design and present Databricks’ Data Intelligence Platform to enterprise customers, crafting tailored solutions to solve complex data challenges and drive adoption.
The Data Engineer will design, build, and maintain scalable data pipelines and architecture for Finance stakeholders using Databricks and Google Cloud Platform. The role focuses on ingesting, processing, and transforming large-scale datasets to support analytical and operational requirements.
Designs and manages scalable data infrastructure and analytics pipelines for LSEG’s global financial markets infrastructure, leveraging big data tools (Spark, Kafka) and cloud platforms to enable data-driven decision-making and real-time insights.
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