Important Information
Location: Colombia
Work Mode: Hybrid
Job Summary
As a Senior Machine Learning Engineer (20529), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems.
Responsibilities and Duties
- Design, build, and deploy scalable machine learning models and pipelines across the full ML lifecycle
- Develop and optimize data processing workflows using Python, SQL, and distributed frameworks such as PySpark
- Deploy and monitor machine learning models in cloud environments, ensuring performance, reliability, and scalability
- Collaborate with cross-functional teams to translate business problems into data-driven solutions and improve model performance
Qualifications and Skills
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field, or equivalent practical experience
- 5+ years of experience as a Machine Learning Engineer with a focus on deploying and scaling ML systems
- Strong proficiency in Python, SQL, and PySpark for large-scale data processing
- Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost
- Experience designing and managing end-to-end ML pipelines using tools such as MLflow or similar
- Experience deploying models in cloud platforms such as AWS, GCP, Azure, or Databricks
- Strong understanding of MLOps practices including CI/CD, model versioning, and automated retraining
- Experience working with containerized environments and Kubernetes for ML workloads
- Ability to design evaluation metrics and validate model performance effectively
- Strong communication and collaboration skills to work with cross-functional teams and stakeholders
About Encora
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.
At Encora, 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
- Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or related field
- 5+ years of experience as a Machine Learning Engineer
- Strong proficiency in Python, SQL, and PySpark
- Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost
- Experience designing and managing end-to-end ML pipelines using MLflow or similar
- Experience deploying models in cloud platforms like AWS, GCP, Azure, or Databricks
- Strong understanding of MLOps practices including CI/CD, model versioning, and automated retraining
- Experience working with containerized environments and Kubernetes
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
