Senior Python Developer

8 hours ago


Singapore Russell Tobin Full time

Job Opportunity: Senior Python Developer (AIML)Experience: 5-10 years Employment Type: Full-time, Morning Shift, Onsite NOTE: Only Singaporean locals or PR holders can apply. About the Role We are seeking an experienced Machine Learning Engineer with deep expertise in Python , AI/ML frameworks , and cloud-native infrastructure . You will play a key role in designing, developing, and deploying scalable machine learning solutions — covering the entire AI/ML lifecycle from model development to deployment, serving, and monitoring in production environments. Key Responsibilities Design, develop, and deploy AI/ML solutions using modern frameworks and infrastructure. Write clean, efficient, and scalable Python code for machine learning, data processing, and automation workflows. Work across cloud infrastructure components — including compute, networking, and storage — with a focus on Kubernetes-based environments . Build, implement, and maintain MLOps pipelines encompassing model training, deployment, serving, and monitoring. Optimize and manage Large Language Model (LLM)inference and performance using frameworks such as vLLM , SGLang , or TensorRT-LLM . Integrate and support model serving and orchestration frameworks including MLflow , Seldon , Triton Inference Server , or Ray Serve . Collaborate closely with data scientists , software engineers , and DevOps teams to ensure reliable, scalable, and efficient AI/ML operations. Required Qualifications Bachelor's or Master's degree in Computer Science , Artificial Intelligence , Data Engineering , or a related field. Proven proficiency in Python , with experience developing production-grade AI/ML applications . Strong understanding of machine learning concepts , algorithms, and model development workflows. Hands-on experience with cloud infrastructure and container orchestration (especially Kubernetes ). Familiarity with the AI/ML lifecycle and MLOps practices , including model deployment, serving, and monitoring. Preferred Qualifications Experience with LLM inference frameworks (e.g., vLLM , SGLang , TensorRT-LLM ). Familiarity with model serving/orchestration frameworks such as MLflow , Seldon , Triton Inference Server , or Ray Serve . Understanding of model optimization , scaling , and performance tuning for LLMs and deep learning workloads. Experience in cloud-native AI/ML environments (e.g., GCP , AWS , or Azure ). Does this sound like you or someone you know? Kindly send your CV here: Looking forward to meeting you#J-18808-Ljbffr


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