ML Engineer

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,...

A leader in Shipping and Logistics company is currently expanding and looking for highly qualified candidates for the Machine Learning Ops Engineer position based in Singapore. Responsibilities Develop and maintain end-to-end ML pipelines for training, evaluation, and deployment Deploy and manage models on platforms like Vertex AI, SageMaker, or Azure ML,...

Project description We are seeking a skilled ML Platform Engineer, responsible for automating, deploying, patching, and maintaining our machine learning platform infrastructure. You need to have hands-on experience with Cloudera Data Science Workbench (CDSW), Cloudera Data Platform (CDP), Docker, Kubernetes, Python, Ansible, GitLab, and MLOps best...

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...

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...

We are looking for passionate software engineers to join our ML Infrastructure team. Our team is at the forefront of building and maintaining scalable, high-performance infrastructure that empowers our machine learning engineers and data scientists to rapidly experiment with and innovate deep learning models for autonomous driving applications.In this role,...

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...

Position**:Generative AI / ML Engineer** Duration: Long term Shift timing: Regular Mandatory Skills: - Python, Generative AI, Large Language Models, Prompt engineering. - NLP Modelling, Hugging face, transformers, Vector databases, Langchain/Any open source gen AI frameworks - Gen AI using any cloud - AWS/Azure etc - ML Deployment experience

**Detailed JD (Roles and Responsibilities)** **AI/ML engineer role -** Implement model training and serving pipelines at scale (GPU), model API, containerization - Python / Scikit-learn / Pytorch / Tensorflow / LLM Hugging Face / Azure ML / Azure AI / (optional) Databricks / MLOps (CI/CD, Versionning, Artifact repo, Logging etc.) **Mandatory...

Design and implement scalable ML pipelines for Generative and Agentic AI applications.Integrate AI models into production environments using containerized platforms such as OpenShift and Kubernetes.Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions.Develop and maintain automation scripts...