Senior Machine Learning Engineer

<p></p> <p><strong>Job Title:</strong> Senior Machine Learning Engineer</p> <p><strong>Key Skills:</strong> Python, SQL, PySpark, Machine Learning, MLOps, Scikit-learn, PyTorch, XGBoost, TensorFlow, ML Pipelines, Kubernetes, Databricks, Cloud (AWS, GCP, Azure)</p> <p><strong>Experience:</strong> 5+ YOE.</p> <p><strong>Location:</strong> Costa Rica</p> <p><strong>Mode:</strong> Remote</p> <p>We at Coforge are hiring<strong> Senior Machine Learning Engineer (#20529) </strong>with the following skill set.</p> <p><strong>Key Responsibilities</strong></p> <ul> <li>Design, deploy, and scale machine learning systems and end-to-end ML pipelines in production environments.</li> <li>Build and optimize distributed data processing workflows using Python, SQL, and PySpark.</li> <li>Manage the complete ML lifecycle, including data ingestion, training, evaluation, deployment, monitoring, and model optimization.</li> <li>Collaborate with cross-functional teams to deliver scalable ML solutions and improve model performance in cloud-based environments.</li> </ul> <p><strong>Required Skills &amp; Qualifications</strong></p> <ul> <li>Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field (or equivalent practical experience).</li> <li>5+ years of industry experience as an ML Engineer with a focus on deploying and scaling ML systems.</li> <li>Strong expertise in Python, SQL, and PySpark for distributed data processing.</li> <li>Experience with machine learning frameworks such as scikit-learn, TensorFlow, XGBoost, and PyTorch.</li> <li>Proven experience designing and managing ML pipelines using tools like MLflow or equivalent.</li> <li>Hands-on experience deploying models in cloud environments such as AWS, GCP, Azure, or Databricks.</li> <li>Experience managing end-to-end ML lifecycles at scale, including deployment and monitoring.</li> <li>Experience deploying and managing containerized ML workloads using Kubernetes.</li> <li>Strong communication skills and the ability to collaborate across technical and business teams.</li> <li>Experience working in fast-paced, high-impact environments with multiple priorities.</li> </ul> <p><strong>Preferred Skills:</strong></p> <ul> <li>Experience working with healthcare data, including medical claims, pharmacy claims, eligibility data, and EHR systems.</li> <li>Knowledge of MLOps practices including CI/CD for ML, automated retraining, and model versioning.</li> <li>Experience with deep learning architectures for forecasting, sequential data, or hierarchical modeling.</li> <li>Familiarity with Kubernetes-native ML tools such as Kubeflow, KServe, or Airflow on Kubernetes.</li> <li>Advanced degree (M.S. or Ph.D.) in Computer Science, Data Science, or a related field.</li> </ul> <p><strong>Posted On:</strong> 29-05-2026</p> <p>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.</p>