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Build and deploy ML models from scratch (e.g., Random Forests, Neural Networks) to detect spam and threats, using Python and cloud infrastructure without managed services.
Lead the engineering efforts of an 'Agentic Factory' team, designing and deploying production-grade GenAI/ML solutions, multi-agent workflows, and MLOps pipelines on GCP/Vertex AI with hands-on Python development and team mentorship.
Build and deploy scalable ML pipelines on AWS and Databricks, leading a team to integrate generative AI models and APIs for healthcare analytics.
Builds and deploys ML/AI models to analyze healthcare data, improve predictive accuracy, and automate workflows using agentic systems and RAG techniques.
Leads MLOps and forecasting platform architecture on Databricks, designing scalable pipelines for campaign projections, budget forecasting, and incrementality testing to optimize ad delivery at scale.
Architect and design cloud-native, AI-powered applications for Fidelity's Asset Management portfolio, focusing on AWS Cloud, Java/Python, Kubernetes, and AI/ML technologies including LLMs and Gen AI.
The application window is expected to close on: 08/28/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Locations: US Remote and may consider…
Position Summary Idealogical Group is seeking a Technical Director to lead our software development team and own technical delivery across our product portfolio. Reporting to the CTO, the Technical Director is…
The Senior Insights Analyst designs and delivers data-driven analytic products and AI-enabled solutions to optimize operational performance and support enterprise technology strategy. The role involves extracting and analyzing complex data from enterprise systems to provide actionable insights for leadership.
The AI DevOps Engineer will design, automate, and optimize cloud-native infrastructure on AWS while integrating AI-powered tools to enhance CI/CD pipelines, observability, and operational efficiency. The role involves collaborating with engineering and AI teams to support scalable, intelligent cloud platforms and MLOps workflows.
The Principal Software Engineer will lead the design and development of AI-powered applications and data platforms using Google Cloud Platform, Databricks, and modern full-stack technologies. This role involves architecting scalable solutions, mentoring engineering teams, and driving AI adoption across enterprise commerce systems.
Intern supporting full-lifecycle applied AI projects—from client discovery and strategy to building AI workflows using n8n, Make, Zapier, and Python with LLM APIs—at a Boca Raton AI consulting firm.
Senior ML Engineer builds MLOps pipelines and interpretability tooling for Transformer-based credit risk models, ensuring scalable deployment and regulatory-compliant transparency in a fintech setting.
Build and scale cloud, Big Data, and AI/ML infrastructure that powers Genesys’s workforce-management platform, designing distributed systems and reusable platforms for enterprise AI deployments.
You have a strong programming background? You feel at home designing back-end systems and scalable architectures? You write clean, efficient, and maintainable Python code with attention to detail? Join Elixirr Digital…
RESPONSIBILITIES & TASKS: AI Solution Development Design, develop, test, and deploy AI/ML models supporting business and operational outcomes. Build and maintain AI services, APIs, and microservices for enterprise…
Develops AI-driven automation and analytics for Navy cybersecurity missions, bridging technical and mission stakeholders to design, implement, and integrate secure solutions in classified environments.
The Gen AI Engineer will design and build agentic AI systems, RAG pipelines, and scalable data infrastructure using Python, SQL, and cloud technologies. The role focuses on implementing MLOps/DataOps automation and integrating LLM-powered applications into production environments.
Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce…
Leads AI/ML engineering for a fintech SaaS platform, designing scalable automation solutions (e.g., predictive analytics, NLP, anomaly detection) to streamline workflows and enhance client outcomes.
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