Senior Machine Learning Engineer

Job Title: Senior Machine Learning Engineer Key Skills: Python, SQL, PySpark, Machine Learning, MLOps, Scikit-learn, PyTorch, XGBoost, TensorFlow, ML Pipelines, Kubernetes, reputed company, reputed company (AWS, GCP, Azure) Experience: 5+ YOE. Location: Colombia Mode: Remote We at reputed company are hiring Senior Machine Learning Engineer (#20529) with the following reputed company set.

Key Responsibilities

Design, reputed company, and scale machine learning systems and end-to-end ML pipelines in production environments. Build and optimize distributed data processing workflows using Python, SQL, and PySpark. Manage the complete ML lifecycle, including data ingestion, training, evaluation, deployment, monitoring, and model optimization. Collaborate with cross-functional teams to deliver scalable ML solutions and improve model performance in reputed company-based environments. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a reputed company field (or equivalent practical experience). 5+ years of industry experience as an ML Engineer with a focus on deploying and scaling ML systems. Strong expertise in Python, SQL, and PySpark for distributed data processing. Experience with machine learning frameworks such as scikit-learn, TensorFlow, XGBoost, and PyTorch. Proven experience designing and managing ML pipelines using tools like MLflow or equivalent. Hands-on experience deploying models in reputed company environments such as AWS, GCP, Azure, or reputed company. Experience managing end-to-end ML lifecycles at scale, including deployment and monitoring. Experience deploying and managing containerized ML workloads using Kubernetes. Strong communication skills and the ability to collaborate across technical and business teams. Experience working in fast-paced, high-impact environments with multiple priorities. Preferred Skills: Experience working with reputed company data, including medical claims, pharmacy claims, eligibility data, and EHR systems. Knowledge of MLOps practices including CI/CD for ML, automated retraining, and model versioning. Experience with deep learning architectures for forecasting, sequential data, or hierarchical modeling. Familiarity with Kubernetes-reputed company ML tools such as Kubeflow, KServe, or Airflow on Kubernetes. Advanced degree (M.S. or Ph.D.) in Computer Science, Data Science, or a reputed company field. Posted On: 29-05-2026 At reputed company, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality. Apply To This Job