
AL/ ML Engineering Lead
6 days ago
We're seeking an experienced Senior AI/ML Engineer Lead to join our clients team. As a Senior AI/ML Engineer Lead, you will lead the development and deployment of AI and machine learning solutions, driving innovation and growth across the organization. You will work closely with cross-functional teams to design, develop, and integrate AI/ML models into business operations.
Key Responsibilities:- Technical Leadership: Lead a team of AI/ML engineers, providing technical guidance, mentorship, and oversight.
- Solution Architecture: Design and architect AI/ML solutions, ensuring scalability, reliability, and performance.
- Model Development: Develop and deploy machine learning models using various algorithms and techniques.
- Model Deployment: Deploy models in production environments, ensuring seamless integration with business operations.
- Technical Innovation: Stay up-to-date with industry trends, researching and implementing new AI/ML technologies and techniques.
- Collaboration: Work closely with data scientists, product managers, and other stakeholders to integrate AI/ML solutions into business operations.
- Technical Documentation: Document technical designs, architectures, and implementation details.
- Programming: Proficiency in languages such as Python, Java, or C++.
- Machine Learning: Experience with machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Deep Learning: Experience with deep learning frameworks and techniques (e.g., CNNs, RNNs, LSTMs).
- Cloud Experience: Experience with cloud-based technologies (e.g., AWS, Azure, Google Cloud).
- Containerization: Experience with containerization tools (e.g., Docker, Kubernetes).
- Leadership: Proven experience leading technical teams, with strong leadership and management skills.
- Communication: Excellent communication and presentation skills, with the ability to articulate technical concepts to non-technical stakeholders.
- Problem-Solving: Strong problem-solving skills, with the ability to think critically and creatively.
-
AL/ ML Engineering Lead
6 days ago
Singapore Newbridge Full time $120,000 - $200,000 per yearWe're seeking an experienced Senior AI/ML Engineer Lead to join our clients team. As a Senior AI/ML Engineer Lead, you will lead the development and deployment of AI and machine learning solutions, driving innovation and growth across the organization. You will work closely with cross-functional teams to design, develop, and integrate AI/ML models into...
-
ML Engineer
2 weeks ago
Singapore SOURCEO PTE. LTD. Full timeQualifications 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...
-
ML Engineer
4 weeks ago
Singapore SOURCEO PTE. LTD. Full timeRoles & ResponsibilitiesQualificationsRequirementsAt 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...
-
Ml Engineer
19 hours ago
Singapore HTC SOFTWARE SINGAPORE PTE LTD Full timeAs 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,...
-
Lead Architect
2 weeks ago
Singapore Singtel Group Full timeSelect how often (in days) to receive an alert: An empowering career at Singtel begins with a Hello. Our purpose, to Empower Every Generation, connects people to the possibilities they need to excel. Every "hello" at Singtel opens doors to new initiatives, growth, and BIG possibilities that takes your career to new heights. So, when you say hello to us, you...
-
AI/ML Engineer
2 weeks ago
Singapore GECO Asia Pte Ltd Full timeWe are looking for a highly motivated and experiencedAI Engineerto join our team and lead the development of intelligent solutions usingAdvanced Python,Machine Learning (ML)andArtificial Intelligence (AI)techniques. The ideal candidate will have strong expertise inAPI integration,Natural Language Processing (NLP), and building scalable AI-driven...
-
Director of Ai/ml
2 weeks ago
Singapore Splore Full time**What is Splore?** **Splore** is redefining how enterprises harness the power of generative AI and multi-agent systems. We work closely with established partners across industries like finance, legal, and tech, enabling them to solve real-world challenges and drive productivity. We integrate state-of-the-art AI technologies into existing business...
-
ML Platform Engineer
4 days ago
Singapore Luxoft Full time $120,000 - $180,000 per yearProject 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...
-
ML Ops Engineer
2 weeks ago
Singapore Airswift Full timeA 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,...
-
Ml Engineer
1 week ago
Singapore BETTERDATA PTE. LTD. Full time**Who are we looking for**: We seek an experienced **Machine Learning Engineer (Senior)**to transform cutting-edge research into robust, production-ready services for synthetic data generation and to optimize both deep learning and classical ML algorithms (e.g. tree-based models) at enterprise scale (billions of rows). You will build and tune model pipelines...