Encora - Senior Machine Learning Engineer

• Location: • Mode: • We at Coforge are hiring Senior Machine Learning Engineer (#15311-1-5) with the following skill set. • Senior Machine Learning Engineer (#15311-1-5) • Key Responsibilities· Lead the design and implementation of scalable, production-grade Machine Learning systems in cloud environments.· Architect and deliver end-to-end ML solutions, from data ingestion and feature engineering to deployment and monitoring.· Design and manage containerized ML workloads using Docker and Kubernetes for model training, batch inference, and real-time serving.· Oversee large-scale data pipelines processing multi-terabyte datasets and ensure reliability and performance.· Lead experimentation strategies, including A/B testing, model validation, and lifecycle management using platforms such as MLflow and Databricks.· Drive continuous model improvement through automated retraining, model monitoring, bias mitigation, and performance optimization.· Evaluate and prototype emerging AI/ML technologies, frameworks, and architectures.· Collaborate with Product, Engineering, Data, and Leadership teams to define and execute ML initiatives aligned with business goals.· Establish engineering standards, code quality practices, and technical documentation.· Mentor engineers and provide technical leadership across Machine Learning initiatives. • Preferred Skills· Experience working with healthcare datasets, including claims, eligibility, pharmacy, or EHR data.· Advanced degree (M.S. or Ph.D.) in Computer Science, Data Science, Machine Learning, or a related field.· Strong understanding of MLOps practices, including CI/CD for Machine Learning, model versioning, and automated retraining.· Experience with deep learning techniques for time series forecasting, sequential data, or hierarchical modeling.· Experience designing model evaluation frameworks, experimentation protocols, and performance metrics.· Familiarity with Kubernetes-native ML platforms such as Kubeflow, KServe, or Airflow on Kubernetes.· Experience working in fast-paced, high-growth environments with multiple concurrent priorities. • At Coforge, we hire professionals based solely on their skills and qualifications and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.