We are in search of a Lead Machine Learning Engineer who can join our remote team and propel innovation.

Your role will entail the design, development, and operation of the ML pipeline in line with industry best practices. You will be responsible for the design, creation, maintenance, troubleshooting, and optimization of ML pipeline steps. Your contribution will be crucial in the design and implementation of ML prediction endpoints. Your role will also involve working with System Engineers to set up the ML lifecycle management environment and to enhance coding practices.

We welcome those who are passionate about innovation to apply and join our team!
We accept CVs in English only.

#LI-DNI

• Involvement in the design, development, and operation of the ML pipeline in accordance with best practices
• Responsibility for the design, creation, maintenance, troubleshooting, and optimization of ML pipeline steps
• Participation in the design and implementation of ML prediction endpoints
• Cooperation with System Engineers to set up the ML lifecycle management environment
• Creation of specifications, documentation, and user guides for developed applications
• Assistance in improving coding practices and repository organization within the science work cycle
• Establishment and configuration of pipelines for projects
• Continuous identification and mitigation of technical risks and gaps
• Partnership with data scientists to move predictive models into production, understand the scope and purpose of the models, and create scalable data preparation pipelines

• At least 5 years of experience in programming languages, ideally Python, coupled with a strong understanding of SQL
• A proven history of leading and mentoring a team of engineers
• Concrete MLOps experience (Sagemaker, Vertex, or Azure ML)
• Intermediate proficiency in Data Science, Data Engineering, and DevOps Engineering
• A history of at least one project delivered to production in an MLE role
• Expertise in Engineering Best Practices
• Hands-on experience in the implementation of 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.)
• Proficiency in automated data pipeline and workflow management tools, such as Airflow, Argo Workflow, etc
• Experience in differing data processing paradigms (batch, micro-batch, streaming)
• Practical experience with at least one of the major Cloud Providers such as AWS, GCP, and Azure
• Production experience in the integration of ML models into complex data-driven systems
• DS experience with tools like Tensorflow/PyTorch/XGBoost, NumPy, SciPy, Scikit-learn, Pandas, Keras, Spacy, HuggingFace, Transformers
• Experience with various types of databases (Relational, NoSQL, Graph, Document, Columnar, Time Series, etc.)
• Fluent English communication skills at a B2+ level

• Hands-on experience with Databricks MLOps-related tools/technologies like MLFlow, Kubeflow, TensorFlow Extended (TFX)
• Familiarity with performance testing tools like JMeter or LoadRunner
• Understanding 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!