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As a Data Scientist and AI Consultant, you will collaborate with global clients to advance their hybrid cloud and AI initiatives using IBM's technology platforms. You will work across various industries to drive meaningful change and accelerate digital transformation.
Develops and maintains Java-based backend systems for clients, leveraging IBM’s hybrid cloud and AI technologies to drive digital transformation.
Design and deploy AI agents tailored to plaintiff law firms, transforming their workflows from intake to resolution while driving measurable outcomes like cycle time and revenue per matter.
This founding engineer role involves building an AI platform for an established energy and infrastructure consultancy, focusing on high-reliability systems. The role requires deep expertise in backend architecture, rigorous testing, and production-grade LLM/RAG implementation.
The Azure Cloud Platform Engineer will design and implement cloud infrastructure for data and analytics workloads using Terraform and Azure DevOps. The role requires experience with Azure services like Databricks and Data Factory, and involves collaborating with teams to support advanced analytics and AI solutions.
The Data Engineer will design and implement data pipelines to transform raw robot and external datasets into structured, reproducible formats for training AI models. The role focuses on building validation suites, managing dataset versions, and creating tools to support ML teams in the robotics center.
Pre-sales engineer at a composable CDP/Agentic Marketing Platform, demoing AI-driven data activation and decisioning to enterprise marketing teams.
The Senior Program Manager leads cross-functional teams to deliver complex engineering projects, focusing on AI, digital payments, and cloud-based solutions within an Agile and SAFe framework. The role involves managing project lifecycles, stakeholder communication, and team development for a large-scale global organization.
The Staff Analog Design Engineer will own the transistor-level design of high-speed SerDes transmit and receive datapath blocks for AI inference accelerators. This role involves the full design lifecycle from specification and simulation to silicon characterization using tools like Cadence Virtuoso, MATLAB, and Python.
Google Cloud Data Engineer responsible for implementing batch/real-time data pipelines on GCP, transforming and processing structured and unstructured data, and working with Data Scientists to integrate ML models. Core technologies include Google Cloud Platform services like DataFlow, BigQuery, and various programming languages.
Senior Data Engineer builds and optimizes scalable data pipelines and distributed architectures for AI-driven analytics, using Python, PySpark, and SQL.
Staff Analog Design Engineer responsible for transistor-level design of clocking subsystems in high-speed SerDes on IO chiplets, including PLL, DLL, phase interpolator, clock distribution, and CDR loop. Work spans design, simulation, verification, and silicon characterization using tools like Cadence Virtuoso and Spectre.
Hardware Strategic Sourcing & Manufacturing Partnerships Manager at OpenAI in Singapore, leading strategic engagements with manufacturing partners (JDMs, CMs, ODMs) for AI hardware development, managing the complete manufacturing partner lifecycle from sourcing strategies to long-term partnership management.
Senior Databricks Consultant at a data and AI consultancy, designing, building, and optimizing scalable data engineering solutions using Databricks, PySpark, and SQL for enterprise clients' Lakehouse programs.
Build and deploy AI/ML models for a government contractor, working remotely with telework eligibility and security clearance requirements.
Build and extend a sovereign cloud Data & AI platform using Go, Kubernetes, and REST APIs to automate lifecycle management for customers.
Designs and builds metadata and lineage integration systems to enable AI agents to securely access and analyze regulated financial data. Core focus: Python-based data pipelines, event-driven architectures, and AI-assisted metadata management in a global investment firm.
Develops and optimizes large-scale data pipelines using Scala/Python/PySpark on Databricks/Azure, designing cloud-native Data Lakehouse architectures and ensuring scalable data processing, query efficiency, and cost optimization.
A Data Engineer-Databricks role at MBC (Indra Group) focusing on developing data ingestions, designing/maintaining pipelines, and automating ETLs using Databricks, SQL, and ETL tools.
Data Engineer AI at Social You in Madrid, Spain working on AI projects involving Big Data and Machine Learning technologies, designing architectures for AI and generative AI projects, supporting global POCs, and contributing to AI strategy.
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