A Senior Machine Learning Engineer is desired to join our remote team, providing input to ML pipeline design, development, and operating lifecycle in accordance with best practices.

Performing this role will require you to design, create, maintain, resolve issues, and enhance ML pipeline steps. Additionally, it will involve ownership and contribution to the design and implementation of ML prediction endpoints. Collaboration with System Engineers to set up ML lifecycle management environments and promote improvement of coding practices will be essential.

We extend an invitation to those with a passion for innovation to apply and join us!
We accept CVs in English only.

#LI-DNI

• Input to ML pipeline design, development, and operating lifecycle following best practices
• Designing, creating, maintaining, resolving issues, and enhancing ML pipeline steps
• Ownership and contribution to ML prediction endpoints' design and implementation
• Collaboration with System Engineers to set up ML lifecycle management environments
• Specification, documentation, and user guide writing for developed applications
• Promoting the improvement of coding practices and the organization of repositories in the science work cycle
• Establishment and configuration of pipelines for projects
• Continuous identification of technical risks and gaps, with devising of mitigation strategies
• Collaboration with data scientists to transition predictive models to production, understanding the scope and purpose of the models, and creating scalable data preparation pipelines

• 3+ years of experience with programming languages, preferably Python, and strong SQL knowledge
• Robust MLOps experience (Sagemaker, Vertex, or Azure ML)
• Intermediate level in Data Science, Data Engineering, and DevOps Engineering
• Experience with at least one project delivered to production in an MLE role
• Expert level in Engineering Best Practices
• Practical experience implementing Data Products using the Apache Spark Ecosystem (Spark SQL, MLlib/SparkML) or similar technologies
• Familiarity with Big Data technologies (e.g., Hadoop, Spark, Kafka, Cassandra, GCP BigQuery, AWS Redshift, Apache Beam, etc.)
• Experience with automated data pipeline and workflow management tools, i.e., Airflow, Argo Workflow, etc
• Experience with different data processing paradigms (batch, micro-batch, streaming)
• Practical experience working with at least one of the major Cloud Providers such as AWS, GCP, and Azure
• Production experience integrating ML models into complicated data-driven systems
• DS experience with Tensorflow/PyTorch/XGBoost, NumPy, SciPy, Scikit-learn, Pandas, Keras, Spacy, HuggingFace, Transformers
• Experience with different types of databases (Relational, NoSQL, Graph, Document, Columnar, Time Series, etc.)

• Practical experience with Databricks MLOps-related tools/technologies like MLFlow, Kubeflow, TensorFlow Extended (TFX)
• Experience with performance testing tools like JMeter or LoadRunner
• Knowledge of containerization technologies like Docker

• Learning Culture - We want you to be the best version of yourself, that is why we offer unlimited access to learning platforms, a wide range of internal courses, and all the knowledge you need to grow professionally
• Health Coverage - Health and wellness are important, that is why we have you and up to four family members in a premiere health plan. We have a couple of options, so you can choose what is best for you and your family
• Visual Benefit - Seeing your work for us would be a sight for sore eyes. We want your vision to always be at 100% which is why we offer up to $200.000 COP for any visual health expenses
• Life Insurance Plan - We have partnered with MetLife to offer a full-coverage Ife insurance plan. So, your family is covered, even if you are gone
• Medical Leave Coverage - We are one of the few companies that cover 100% of your medical leave, for up to 90 days. Your health is the most important thing to us
• Professional Growth Opportunities - We have designed a highly competitive and complete development process, where you will have all the tools to get where you have always wanted to be, personally and professionally
• Stock Option Purchase Plan - As an EPAMer you can be more than just an employee, you will also have the opportunity to purchase stock at a reduced price and become a part owner of our organization
• Additional Income - Besides your regular salary, you will also have the chance to earn extra income by referring talent, being a technical interviewer, and many more ways
• Community Benefit - You will be part of a worldwide community of over 50,000 employees, where you can learn, challenge yourself, stand out, and share your knowledge and experience with multicultural teams!