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The ML Engineer will train, fine-tune, and deploy Computer Vision models while managing datasets and monitoring production performance. The role requires expertise in Python, deep learning frameworks, and MLOps practices to ensure model accuracy and reliability.
The Senior Data Scientist will design and deploy agentic AI and GenAI analytics solutions, including RAG systems and forecasting models, while managing end-to-end MLOps. The role requires strong Python, cloud ML expertise, and experience in productionizing AI systems for enterprise or government operations.
Junior AI/ML engineer developing and deploying ML/DL models, NLP/RAG applications, and LLM solutions for financial institutions using Python, SQL, and MLOps.
The Senior Consultant will design and implement enterprise AI/ML solutions on the Red Hat OpenShift platform for key accounts in the ASEAN region. The role involves leading technical workshops, mentoring teams, and architecting agentic AI and MLOps workflows.
Train, evaluate, deploy and monitor computer vision models (detection, classification, tracking) in Singapore, using Python and deep learning frameworks like PyTorch or TensorFlow.
The AWS Data Engineer will design, build, and maintain end-to-end data lake and lakehouse solutions on AWS. The role involves developing ingestion pipelines, managing data transformation workflows, and enforcing security and governance standards using AWS services.
The Machine Learning Engineer Intern will join the Model Engineering Team to train, fine-tune, and optimize deep learning models for video intelligence applications. The role involves hands-on experimentation with CNNs, Transformers, and foundation models to improve real-world vision system performance.
Senior AI Engineer designing, building, and optimizing AI agents, RAG pipelines, and fine-tuning LLMs using Python, PyTorch/Hugging Face, and vector databases.
Data Scientist building end-to-end ML models and production data pipelines in Databricks (Python, PySpark, SQL) to power hyper-personalized CRM campaigns, churn reduction, and CLV prediction for a retail beauty company.
The Data Scientist will build and deploy predictive models and data pipelines in Databricks to drive customer lifetime value and personalization strategies. This role involves end-to-end ownership of machine learning projects, from feature engineering to production monitoring, while collaborating with marketing and CRM teams.
Build and maintain scalable MLOps platforms and pipelines supporting drug discovery at Amgen, using Python, AWS/Databricks, and AI/ML frameworks to productionize models from classical ML to LLMs.
Senior ML Architect/Scientist – Telemetry and Log Analytics Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive…
Position: Data Scientist Department: AI Growth Reporting to: Data Science Manager Location: London or Amsterdam Hybrid role: 3 days a week from our office & 2 days working from home Ready for a challenge? Then Just…
AI Platform Architect at Definity (insurance) defining and governing the enterprise GenAI platform — LLM integration, RAG patterns, MLOps/LLMOps pipelines, and responsible AI guardrails on GCP/AWS.
Leads strategic AI ecosystem partnerships to design joint architectures for AI infrastructure, spanning data pipelines, model training, and inference serving, while enabling sales teams with technical enablement and market insights.
Builds and maintains the ML infrastructure platform for Nuro’s autonomous vehicle AI, focusing on GPU/CPU resource provisioning, workload orchestration, and petabyte-scale data pipelines to accelerate model development from experimentation to production.
Build and scale the ML infrastructure platform that provides compute and data resources for autonomous vehicle development, using IaC, workload orchestrators (Kubernetes, Ray), and distributed data processing frameworks.
The Senior AI Engineer will build and maintain generative AI agents and classical ML models in production using Azure AI Foundry and Python. This role focuses on executing technical specifications, implementing LLMOps frameworks, and ensuring system observability within a global team.
A hands-on engineer builds and deploys AI systems for grocery chains, splitting time between customer sites and Afresh’s platform to turn field learnings into reusable tooling.
Software Engineer on the ML Developer Experience team building developer tooling, SDKs, CLIs, APIs, and platform services for the Anyscale/Ray distributed computing platform, spanning cloud infrastructure to the Ray runtime.
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