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Lead a data science team to build AI/ML models for content generation, recommendation, and search using LLMs and RAG. You will manage the end-to-end lifecycle of data products, from ideation to production deployment, leveraging technologies like Python, vector search, and NLP to enhance job-seeker tools.
Senior Data Scientist at Artefact Brasil designing, building, and monitoring end-to-end ML models and scalable data products, mentoring juniors and collaborating with analysts and engineers. Core stack: Python/PySpark, cloud data platforms (GCP/AWS/Azure/Databricks), SQL warehouses, and MLOps tools like MLflow; free-office (remote-friendly) with in-person meetups 3x/year.
Lead a team building production-grade AI systems—from classical ML to LLM-powered agents—while shaping client solutions, pre-sales pitches, and team standards.
Leads AI/ML engineering teams to design and deploy production-grade AI solutions (LLMs, classical models, agent systems) for consulting clients, focusing on architecture, context engineering, and fine-tuning pipelines while supporting pre-sales and strategy.
Builds and deploys end-to-end AI/ML models (forecasting, classification, LLMs) for clients, owns data pipelines, and mentors junior scientists while ensuring production-readiness and business impact.
Senior AI & Data Scientist who designs, builds, and deploys end-to-end ML models (forecasting, classification, LLM fine-tuning) for enterprise clients, bridging business needs with technical execution.
Director-level role at Artefact, a data & AI consulting firm, leading a team of AI/ML engineers to design and deliver production AI systems — from classical ML to LLM-powered agentic applications — primarily on Google Gemini Enterprise/Vertex AI. Includes client-facing pre-sales work, architecture decisions, and fine-tuning/RAG practice leadership.
Senior Data Scientist at an AI consulting firm, responsible for the end-to-end lifecycle of models including forecasting, classification, and LLM fine-tuning. The role involves translating business challenges into analytical use cases and deploying production-ready solutions using Python, SQL, and cloud platforms like GCP or Azure.
Senior AI & Data Scientist builds, deploys, and evaluates ML models end-to-end, from forecasting to LLM fine-tuning, while mentoring junior team members and translating technical results for clients.
Overview As our Data Scientist, you’ll help drive Concora Credit’s Mission to enable customers to Do More with Credit – every single day. The impact you’ll have at Concora Credit: As a Data Scientist, your primary role…
About Us: LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering…
At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed…
Job Description Summary: Our view of digital is one of an integrated ecosystem of platforms that create value across the digital and physical world. Our digital strategy creates value not only for our consumer and…
Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative…
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated…
We are seeking enthusiastic and driven interns to join the AI, Automation, and Data Platforms (AADP) team at IBM CIO. As an intern, you will play a critical role in developing cutting-edge solutions using Watsonx LLMs…
CIM Group, a Los Angeles-based real estate and infrastructure investment firm, seeks a Senior Data Scientist to own the full ML model lifecycle — from feature engineering and predictive modeling to containerized deployment and monitoring — informing investment decisions. Core stack: Python, SQL, gradient boosting, MLflow, Docker, and CI/CD.
Imagine working with cutting-edge machine learning models, crunching high frequency data sets and sparring with exceptional and fun colleagues, all while taking part in scaling our business even further. Does this…
Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics (GDIA) team. We are the…
Job Duties Design, develop and maintain security automation playbooks and workflows using Python. Develop AI agents and AI-driven automation for security operations and incident response use cases. Build Agentic AI…
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