We at Coforge are hiring Senior Machine Learning Engineer (#15311-1-5) with the following skill set.

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.

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 building, deploying, and scaling Machine Learning systems.- Deep expertise in Python, SQL,



and PySpark for distributed data processing.- Hands-on experience with machine learning frameworks such as Scikit-learn, PyTorch, Tensor

Flow, and XGBoost.- Proven experience designing and managing production ML pipelines using MLflow or similar tools.- Experience deploying and operating ML solutions in cloud environments such as AWS, Azure, GCP, or Databricks.- Strong understanding of end-to-end ML lifecycles, including data ingestion, training, evaluation, deployment, and monitoring.- Hands-on experience with Docker, Kubernetes, and containerized ML workloads.- Excellent communication skills and the ability to influence cross-functional teams.

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.

Posted On: 09-10-2026At 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.#J-18808-Ljbffr

📌 Senior Machine Learning Engineer (Colombia)
🏢 Encora
📍 Colombia