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Senior Machine Learning Engineer at Encora. . Location: Bolivia. Job Title:. Senior Machine Learning Engineer. . Key Skills:. Python, SQL, PySpark, Machine Learning, MLOps, Scikit-learn, PyTorch, XGBoost, TensorFlow, ML Pipelines, Kubernetes, Databricks, Cloud (AWS, GCP, Azure). . Experience:. 5+ YOE.. . Location:. Bolivia. . Mode:. Remote. . We at Coforge are hiring. Senior Machine Learning Engineer (#20529) . with the following skill set.. . Key Responsibilities. . . Design, deploy, 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 cloud-based environments.. . . Required Skills & Qualifications. . . Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related 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 cloud environments such as AWS, GCP, Azure, or Databricks.. . 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 healthcare 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-native ML tools such as Kubeflow, KServe, or Airflow on Kubernetes.. . Advanced degree (M.S. or Ph.D.) in Computer Science, Data Science, or a related field.. . . Posted On:. 29-05-2026. . At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.