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Designs and leads enterprise-scale AI solutions using Azure AI Foundry and OpenAI, including RAG, agents, and governance, while integrating with ERP and data systems.
Data & AI Engineer building custom generative AI and LLM applications with production-ready models using MLOps practices in Azure cloud environments.
Data Scientist applying statistical modelling and classical ML to validate and benchmark Gen AI solutions within NCS AI Central's Forward Deployed Engineering model, primarily using Python and SQL.
Build and maintain scalable data pipelines and ML systems for clinical trials, R&D, and drug manufacturing at a global pharma company’s applied AI team.
AI/ML Engineer designing, deploying, and sustaining production ML models, NLP/genAI solutions, and real-time decision-support systems for a SOCOM mission partner using Python, ML frameworks, and MLOps/DevSecOps practices in secure environments.
DevOps Engineer leading CI/CD pipeline automation, Azure cloud infrastructure provisioning with Terraform, and Kubernetes container orchestration for the company's SaaS products.
Jr-to-mid software developer on an MLOps project, expanding automation, automating model training, and designing scalable data/model architectures using Go, Python, JavaScript, Vue.js, and various data storage technologies.
Lead a team of Data Architects and Engineers designing enterprise data architectures, canonical models, and integration strategies across federal mission environments using lakehouse, data mesh, and multi-cloud platforms (AWS, Azure, GCP).
Leads the design and architecture of LinkedIn’s AI Governance Platform, ensuring AI models are safe, compliant, and production-ready by building distributed systems for metadata management, validation, and automated policy enforcement across ML workflows.
Design and build autonomous AI agents and multi-agent systems using LLMs, agent frameworks, and production-grade AI platforms.
Designs and optimizes scalable data pipelines and AI/ML data foundations, automating ETL/ELT workflows with tools like Airflow, Databricks, and Snowflake to enable analytics and AI models across the enterprise.
Senior Data Scientist builds predictive models and analyzes media datasets to optimize customer behavior, retention, and content recommendations using Python, SQL, and ML tools.
Builds and deploys AI/ML models for a client’s product, focusing on data pipelines, model optimization, and production integration using Python, TensorFlow/PyTorch, and cloud platforms.
The Data Engineer will build and maintain data pipelines, manage AWS infrastructure, and support MLOps governance frameworks and analytics platforms at Bank of New Zealand.
Builds and maintains production-ready AI/ML models and full-stack features in Python, optimizing CI/CD/MLOps pipelines and in-house evaluation systems for scalability and reliability.
AI Architect serving as enterprise design authority for AI architecture at a real estate firm, defining reference architectures, platform standards, and roadmaps focused on GenAI, LLMs, RAG, AI agents, and MLOps/LLMOps across cloud and on-prem environments.
Build and deploy full-stack applications and AI-powered workflows using Python, JavaScript, and Go, integrating LLMs and cloud services in a fast-paced Singapore-based engineering team.
Designs secure, scalable AI architectures for marine data platforms in APAC, ensuring compliance with regional regulations while enabling advanced AI and automation solutions.
Position Summary Scicom Infrastructure Services is seeking an experienced Databricks Practice Lead / Engineering Manager to provide hands-on technical leadership while managing a team of data engineers, architects, and…
This role involves building and maintaining scalable machine learning infrastructure on AWS to support drug discovery initiatives. The engineer will automate deployments, manage CI/CD pipelines, and collaborate with data scientists to optimize computational workflows.
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