Machine Learning Operations

2 weeks ago

Taguig, Philippines Michael Page Full time

Passionate about driving digital innovation in the Philippines. Seeking growth in a purpose-led, innovation-focused organization. About Our Client The employer is a large organization in the technology and telecoms industry, known for its robust infrastructure and commitment to technological advancement. The company provides innovative solutions and services to its customers, fostering a culture of excellence and growth. Job Description We are seeking a skilled MLOps Engineer with a DevOps engineering background to streamline and automate the deployment of machine learning models into production. You will work closely with data scientists, software engineers, and infrastructure teams to build scalable, secure, and reliable ML pipelines and environments. Key Responsibilities: Design and implement CI/CD pipelines for ML model deployment. Manage container orchestration (Docker, Kubernetes) and cloud infrastructure (AWS, GCP, Azure). Monitor and optimize model performance in production environments. Collaborate with AI/ML teams to ensure reproducibility and scalability of experiments. Automate data workflows and model retraining processes. Ensure compliance with security and governance standards. The Successful Applicant Strong experience in DevOps engineering, including CI/CD, infrastructure as code (Terraform, Ansible), and cloud platforms. Proficient in containerization and orchestration tools (Docker, Kubernetes). Familiarity with ML lifecycle tools (MLflow, Kubeflow, Airflow) is a plus. Exposure to AI/ML projects or collaboration with data science teams is nice to have, but not required. Leadership skills or experience guiding technical teams is a plus. Excellent problem-solving skills and a passion for automation and scalability. What's on Offer Competitive annual salary ranging from PHP 150,000 to PHP 190,000. Permanent position in a reputable organization within the technology and telecoms industry. Opportunities to work on cutting-edge technology in a collaborative environment. Comprehensive benefits package. Located in Taguig, offering a dynamic and modern work setting. If you are passionate about machine learning and looking for an exciting career in Taguig, we encourage you to apply for this Machine Learning Operations role today #J-18808-Ljbffr

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