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Designs and deploys AI-driven solutions (LLMs/agents) at scale, owning CI/CD pipelines, IaC, and production observability for enterprise clients while mentoring engineers and ensuring security/governance compliance.
Build and deploy ML/LLM solutions end-to-end for diverse clients, from data prep to production APIs, while collaborating in a team of ML engineers.
Designs large-scale AI/HPC infrastructure solutions for NVIDIA’s cloud partners, validating data center designs, collaborating with vendors, and delivering technical training. Bridges NVIDIA’s product portfolio with customer needs in Southeast Asia.
Designs multi-year roadmaps and enterprise architectures for large Oracle ERP environments, driving cloud transformation, AI/ML integration, and compliance for a federal healthcare program.
Data Scientist building time series models and predictive algorithms for quantum sensor systems, using Python, NumPy, Pandas, scikit-learn, and TensorFlow/PyTorch in an office/lab setting.
Lead Data Scientist designing and deploying ML, NLP, and GenAI models (including RAG systems) using Python, cloud platforms (Azure preferred), and frameworks like TensorFlow, PyTorch, and LangChain for an executive search firm's Digital-IT team.
The Lead Data Scientist will oversee the enterprise AI strategy, managing teams focused on Generative AI, MLOps, and machine learning applications for HVAC and data center operations. This role involves leading the end-to-end AI lifecycle, from experimentation to production, while aligning technical initiatives with business goals.
Think start-up energy, backed by enterprise scale. We are building modern platforms within a global organization—combining the agility, ownership, and engineering freedom of a start-up with the stability and funding of…
Leads data engineering at Randstad, building scalable pipelines on GCP/AWS, coaching teams, and deploying ML models while ensuring security and compliance.
The Generative AI Engineer will design, develop, and deploy scalable AI solutions using LLMs and transformer architectures. The role involves orchestrating model workflows, integrating GenAI into enterprise systems, and collaborating with MLOps teams on cloud platforms.
The Lead Backend Engineer will design and develop scalable enterprise-level web applications and microservices using Python and Java. The role involves data modeling, quantitative analysis, and cloud infrastructure management within a global financial services environment.
12-month contract role building AI platforms and agentic AI applications for a pharmaceutical company, using Python, FastAPI, cloud platforms (GCP/Azure), Kubernetes, and ML frameworks like PyTorch/TensorFlow.
AI/ML Engineer building and deploying data-driven AI/ML products in secure, mission-critical environments for the U.S. National Security community using TensorFlow, PyTorch, Python, and related ML frameworks.
Designs, builds, and deploys enterprise-grade ML models and data science solutions to solve complex business problems using Python, SQL, and cloud platforms.
Leads end-to-end AI solution pilot implementations for clients—managing discovery, planning, data preparation, validation, and handover—while coordinating cross-functional teams and translating technical AI performance findings for stakeholders.
Data Scientist implementing end-to-end AI/ML projects (training, deploying, ETL, visualization) for a global paint and coatings manufacturer, working with domain experts and using Python, SQL, PyTorch, and TensorFlow.
Machine Learning Engineer building and optimizing recommendation systems (collaborative filtering, deep learning, GNNs) for gaming platforms, using TensorFlow, PyTorch, Spark, and distributed data processing to personalize content and maximize user LTV.
Lead Python & Data Engineer building an AI-driven supply chain platform covering inventory forecasting, procurement automation, and logistics optimization using expert-level Python, time-series forecasting (Prophet, LSTMs, Transformers), OR-Tools/Gurobi, Databricks, and cloud infrastructure.
Senior Data Analytics & ML Engineer at Alcon building AI/ML solutions for manufacturing operations—developing predictive models, MLOps pipelines, and dashboards using machine data, MES/SCADA, and quality data to drive smart factory initiatives.
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