Tech jobs
Job listings
125DP116BUI - AI/Machine Learning Engineer
Build and refine generative-AI models for construction cost estimates using computer vision and ML, leveraging proprietary blueprint datasets to improve accuracy and business impact.
0825 - 283(4LAT) | Machine Learning Engineer (On-Site Consultant)
Design and deploy ML models using Python, TensorFlow/PyTorch, and MLOps tools; collaborate with data scientists to build scalable AI systems for real-world applications.
Software Engineer, Backend (AI Infrastructure)
Build and scale MLOps infrastructure for AI/ML pipelines, including CI/CD, model training/inference, and monitoring to improve AI model deployment velocity.
Computer Vision Engineer
Build and optimize computer-vision models for AI dashcams that detect risky driving and coach fleets in real time using Python/C++ and deep-learning frameworks.
Data Scientist (Remote)
Build and deploy ML models in Python/R/SQL to analyze banking data, create dashboards, and drive data-driven decisions using Spark, TensorFlow, and cloud platforms.
Data Scientist Senior
Senior Data Scientist builds and deploys ML models, analyzes large datasets, and drives business decisions using Python, Spark, and cloud platforms.
DATA scientist senior (Banking Experience required)
Senior Data Scientist builds ML models and analyzes banking data to drive decisions, using Python, Spark, and cloud platforms.
Data Scientist
Build and maintain ML/AI models in Python/R, deploy them on AWS, and optimize them using time-series and Bayesian methods in an Agile team.
Senior Data Scientist
Build and lead AI solutions using LLMs, RAG, and agents; design scalable pipelines and mentor junior data scientists in a hybrid role.
Data Scientist / AI Researcher
Build and maintain AI models to analyze employee motivation, turnover risk, and workplace relationships using Python, TensorFlow/PyTorch, and big data tools like Spark and Kafka.
Data Science Engineer
Build, validate, and deploy ML/DL/GenAI models in production, design data pipelines, and partner with stakeholders to turn business needs into technical solutions.
Production ML Engineer — GenAI & Data Pipelines (Mon–Fri)
Build, validate, and deploy ML, deep learning, and GenAI models in production, while designing data pipelines and monitoring model performance for a Singapore-based AI product company.
AI Engineer - Reinforcement Learning
Designs and optimizes large language models and reasoning pipelines for formal code verification, using Python/C++ and PyTorch/JAX in a San Francisco office.
AI Engineer in Synthetic Data
Designs and refines ML data pipelines for distributed training and validation of AI models that enable formally verifiable software, using Python/C++ and frameworks like PyTorch/TensorFlow.
Data Engineer
Build and maintain ML pipelines, deploy models, and curate data for analytics using Python, PySpark, SQL, and MLOps tools to support insurance-focused AI solutions.
AI Engineer
Build and deploy production-grade AI and Generative AI solutions for clients, using cloud platforms, MLOps, and frameworks like TensorFlow/PyTorch.
AI Engineer
Build and deploy AI-powered systems like LLM apps and RAG pipelines for enterprise clients, integrating models into production while maintaining scalable data pipelines and MLOps workflows.
Data Engineer
Designs and deploys AI/ML models (CV, NLP, recommendations, synthetic AI) from concept to production, collaborating with stakeholders and cross-functional teams.
Data Scientist / Machine Learning Engineer
Build, train, and deploy ML/DL models (NLP, clustering, anomaly detection) in Azure/Google Cloud, integrating them into production pipelines using MLOps and cloud-native tools.
Machine Learning Research Engineer
Develops and improves machine learning models to detect and prevent cheating in Call of Duty using Python, PySpark, and deep learning.