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Junior/Senior AI Engineer (Mandarin Speakers only)
Build and deploy AI-powered applications on AWS, integrating LLMs and cloud-native tech to create production-ready AI services and agents.
Senior ML Engineer: Azure MLOps, NLP & Predictive AI
Design and deploy ML systems and predictive models using Azure MLOps and NLP for client projects.
AI Engineer- 5k- Contract- Insurance - No visa sponsorship
Build and deploy AI-powered insurance applications using LLMs, RAG, and vector databases. Integrate models into production systems with Python, cloud platforms, and AI orchestration frameworks.
Data Scientist – Enterprise AI Solutions
Design, build, and deploy AI/ML models and Generative AI solutions for clients in banking, healthcare, and other industries, covering the full lifecycle from data prep to MLOps.
Enterprise AI Data Scientist — ML & Generative AI
Designs, builds, and deploys ML and generative AI solutions for banking and healthcare clients, owning the full lifecycle from data exploration to production deployment.
Machine Learning Engineer (AI Platform & Services)
Build and deploy scalable AI/ML models and LLM-based systems on Hilti’s AI platform, using Python, Azure, and MLOps/LLMOps practices to power global construction workflows.
Machine Learning Engineer
Build and deploy ML/AI systems for a digital bank, including LLMs, RAG, and agentic apps, using Python, MLOps, and cloud-native infra.
Data & Analytics Manager (Snowflake / Data Engineering & BI) (ID : 17310)
Lead a team to build and deliver enterprise data platforms using Snowflake, BI tools, and data engineering pipelines for a global chemical manufacturer.
Senior AI Engineer
Build and maintain an AI platform: design services, deploy LLMs, optimize inference, and implement MLOps/RAG workflows for enterprise AI solutions.
Senior Enterprise Data & AI Architect
Designs and leads enterprise-grade data and AI platforms for an insurer, focusing on scalable, governed solutions on Azure and GCP with MLOps and Databricks governance.
Senior Data Engineer: Build Scalable Data Pipelines & Products
Senior Data Engineer builds and maintains scalable data pipelines and governed data products for enterprise use cases, collaborating with cross-functional teams.
Senior Data Engineer
Build and maintain scalable data pipelines and curated data assets for agency servicing use cases, ensuring reliability, auditability, and governance while collaborating with cross-functional teams.
Senior AI/ML DevOps Engineer: MLOps & Azure
Designs and automates MLOps and DevOps pipelines for scalable AI/ML platforms, ensuring secure, reliable model training and inference workflows across multi-cloud and on-premises environments.
Senior Python AI Engineer – AI/ML, MLOps & Cloud
Build and optimize AI applications and MLOps pipelines using Python, LLMs, and cloud platforms while collaborating with data scientists and architects.
Senior Python AI Engineer
Build, integrate, and optimize AI/ML solutions using Python, LLMs, and MLOps pipelines for enterprise clients, while collaborating with data scientists and engineers.
Full Stack Developer (imAI Platform)
Build and maintain cloud-native full-stack apps for an AI platform using Python/Go, SQL/NoSQL, Docker/Kubernetes, and MLOps tooling.
End-to-End Data & ML Engineer (LATAM) — AI-Driven Pipelines
Build and maintain AI-driven data pipelines and MLOps infrastructure in Python, leveraging vector databases and cloud platforms like AWS or Azure.
Remote Data & ML Engineer — AI‑Driven BI
Builds and maintains scalable data pipelines and contributes to LLM-driven BI applications using AI/ML.
Senior Data Engineer
Senior Data Engineer builds and maintains Snowflake and dbt pipelines for a global tax-compliance platform, owning the revenue data chain from billing to financial close and ensuring outputs support finance and AI consumers.
Senior Data Engineer
Design and maintain a Snowflake-based financial data pipeline and dbt models for revenue recognition and close processes, ensuring accuracy for finance teams and AI consumers.