ML integration Engineer

Job Description & Requirements This Senior ML / Integration Engineer role focuses on building and integrating Generative AI and Agentic AI solutions into enterprise environments. You will work closely with data scientists, architects, and DevOps teams to design, implement, and optimize AI pipelines and infrastructure. Key Responsibilities Develop and...

Overview We are looking for a highly motivated and experienced AI Engineer to join our team and lead the development of intelligent solutions using Advanced Python, Machine Learning (ML) and Artificial Intelligence (AI) techniques. The ideal candidate will have strong expertise in API integration, Natural Language Processing (NLP), and building scalable...

What’s on offer Job Type: Contract Duration: 12 months (highly renewable)Job Summary We are seeking a Big Data / Systems Engineer with experience in implementing and supporting large-scale MLS systems, including environment setup, capacity planning, and production support. In addition, he/she must be skilled in Hadoop, NoSQL, Spark, and DevOps tools, with...

As an AI/ML Engineer in the AI Development Group, you will work on the rapid prototyping, development, and integration of AI capabilities across Certis’ current and next-generation technology platforms. This role is pivotal in advancing Certis’ AI adoption journey, making AI a core driver of innovation and operational excellence. You will work closely...

Qualifications Requirements At least 3-5 years of experience as an ML Engineer, MLOps Engineer, or equivalent. Strong proficiency in Python and ML frameworks such as Scikit-learn, XGBoost, PyTorch, or TensorFlow. Proven experience with AWS ML services, including SageMaker, Glue, Lambda, Step Functions, S3, and CloudWatch. Familiarity with CI/CD and test...

7+ years of experience in Machine Learning engineering or AI system integration.Bash and Unix/Linux command-line toolkit is a must-have.Hands-on experience with OpenShift, Docker, Kubernetes.Knowledge of cloud platforms (e.g. AWS) is a must-have.Exposure to data and network security and compliance in AI systems.Knowledge of API integration and microservices...

Overview We are looking for a Data Scientist to join a product team focused on advancing a cutting-edge Synthetic Data Generation (SDG) engine. This role sits at the intersection of machine learning, applied research, and software engineering, contributing to a product that enables safe data sharing and analytics across sectors. Responsibilities Designing...

As an ML Engineer, your pivotal role involves operationalizing ML Models developed by Client data scientists. **Technical Skills** - Proficiency in Python used both for ML and automation tasks - Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have. - Hands on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI,...

Overview Potential candidate will support AML Projects/CRs for Singapore and Regional entities. We are seeking a skilled System Integrator to join our team. As a System Integrator, you will be responsible for performing middleware installations, configurations, and troubleshooting, as well as system integration with other systems and applications. You will...

Interested applicants are invited to apply directly at the NUS Career Portal Your application will be processed only if you apply via NUS Career Portal We regret that only shortlisted candidates will be notified.Job Description The ECE Department at NUS is seeking a Research Fellow to support applied AI research in failure analysis and fault isolation....