Encora Inc.

Senior Machine Learning Engineer

Encora Inc.  •  Colombia, CO (Hybrid)  •  1 month ago
Apply
AI can make mistakes so check important info. Chat history is never stored.

Job Description

Important Information

Location: Colombia

Work Mode: Hybrid

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. 

Encora Inc.

About Encora Inc.

Encora is a global digital engineering company built for a new era of AI-powered businesses. Forged in Silicon Valley, we grew up serving digital natives who demanded speed, scale, and flawless experiences. Today, we bring that same DNA to enterprises worldwide, enabling speed and hyper-adaptability, moving them further along their quest to become more composable and agile.

With two decades at the convergence of Cloud, Data, and AI, we help organizations move beyond rigid, legacy models to become composable enterprises, through adaptive systems designed to sense change and reconfigure in real time.

More than 9,500 engineers, designers, and domain experts across the Americas, Europe, India, and Southeast Asia give Encora the ability to combine nearshore agility with global scale. Backed by Advent International and Warburg Pincus, we deliver innovation acceleration and modernization across industries, powered by Encora AIVA™, our orchestration platform for AI-native engineering.

We believe the future won’t be built by humans or machines alone, but by human creativity amplified by limitless machine intelligence. At Encora, that’s how we help our clients build fast and adapt faster.

Industry
IT & Software
Company Size
5,001-10,000 employees
Headquarters
Santa Clara, California
Year Founded
Unknown
Social Media