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: Costa Rica
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.
Skills Required
- 5+ years of industry experience as an ML Engineer
- Strong expertise in Python, SQL, and PySpark
- Experience with machine learning frameworks such as scikit-learn, TensorFlow, XGBoost, and PyTorch
- Proven experience designing and managing ML pipelines
- Hands-on experience deploying models in cloud environments
- Experience managing end-to-end ML lifecycles at scale
- Experience deploying and managing containerized ML workloads using Kubernetes
- Strong communication skills and the ability to collaborate across teams
Encora Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Encora and has not been reviewed or approved by Encora.
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Healthcare Strength — Health coverage is described as employer-provided in multiple locations, with private plans and family coverage highlighted in Spain and Mexico. Medical insurance quality is presented as a recurring bright spot alongside standard coverage.
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Leave & Time Off Breadth — Time off includes paid holidays and PTO, with regional materials indicating additional leave provisions in certain countries. Leave is generally portrayed as conventional to generous depending on location.
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Flexible Benefits — Work-from-home flexibility is frequently highlighted as a plus, though it varies by role and client needs. Remote and hybrid options are positioned as part of the overall package.
Encora Insights
What We Do
Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries. With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology
