Contract Senior ML Engineer

Role Overview The AI/ML Specialist will play a pivotal role in designing and implementing advanced AI solutions that address complex business challenges. Collaborating with cross-functional teams, this role will leverage expertise in machine learning, deep learning, and emerging AI technologies to enhance product offerings, optimize operations, and drive...

A leading consulting firm is seeking a Senior Associate/Manager, Fullstack Software Engineer to design and implement robust systems with a focus on content intelligence. Ideal candidates should have a minimum of 3 years of experience in full-stack development, API integration, and database management. A background in cloud platforms and security best...

Overview We are looking for a highly skilled AI/ML professionals to design and deliver advanced, scalable AI solutions that solve real-world business challenges. In this role, you will be part of a high-performing, cross-functional team, driving innovation across areas such as Generative AI, NaturalLanguage Processing (NLP), personalization, and predictive...

ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and...

ST Engineering is seeking an experienced Senior AI/ML Engineer to join its Mission Software & Services team in Singapore. You will analyze data, build ML models, and collaborate with cross-functional teams to deploy solutions that enable real-time decision-making. The role emphasizes developing production-ready ML workflows, evaluating models, and staying...

Senior ML/AI Engineer (Senior Consultant) The role combines ML/AI engineering with practical data engineering, working closely with data scientists, data engineers, platform engineers, product teamsand governance stakeholders to build reliable data and feature pipelines, curate production-ready datasets, and establish reusable MLOps/AIOps capabilities that...

Key Responsibilities MLOps/AIOps Platform Engineering: Design and implement reusable platform components and golden paths for experiment tracking, model registry, pipeline orchestration, deployment, monitoring, feedback and retraining using Databricks, MLflow and approved AWS services. Production Engineering: Convert notebooks and prototypes into modular,...

Role: Senior ML/AI EngineerJD: Working Hours Mon–Fri, 8:30am–6:00pmKey ResponsibilitiesMLOps/AIOps Platform Engineering: Design and implement reusable platform components and golden paths for experiment tracking, model registry, pipeline orchestration, deployment, monitoring, feedback and retraining using Databricks, MLflow and approved AWS...