We invite a Lead Machine Learning Engineer to be part of our remote team.

You will be instrumental in the design, development, and operation of the ML pipeline, adhering to industry-leading standards. Your role will encompass the design, creation, maintenance, troubleshooting, and optimization of ML pipeline steps, as well as the ownership and contribution to the design and implementation of ML prediction endpoints. A key aspect of your role will involve collaboration with System Engineers to set up the ML lifecycle management environment and enhance coding practices.

If innovation fuels your passion, we welcome you to join our team!

#LI-DNI

Responsibilities

• Contributing to the design, development, and operation of the ML pipeline based on best practices
• Designing, creating, maintaining, troubleshooting, and optimizing ML pipeline steps
• Owning and contributing to the design and implementation of ML prediction endpoints
• Collaborating with System Engineers to configure the ML lifecycle management environment
• Producing specifications, documentation, and user guides for developed applications
• Assisting with the enhancement of coding practices and the organization of repositories in the science work cycle
• Establishing and configuring pipelines for projects
• Continuously identifying technical risks and gaps, and formulating mitigation strategies
• Collaborating with data scientists to bring predictive models to production, understanding the model's scope and purpose, and creating scalable data preparation pipelines

• Minimum of 5 years of programming experience, ideally in Python, combined with robust knowledge of SQL
• Demonstrated history of leading and mentoring a team of engineers
• Proven MLOps experience (Sagemaker, Vertex, or Azure ML)
• Intermediate proficiency in Data Science, Data Engineering, and DevOps Engineering
• Track record of at least one project delivered to production in an MLE role
• Expertise in Engineering Best Practices
• Practical experience in implementing Data Products using 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)
• Proficiency with automated data pipeline and workflow management tools, such as Airflow, Argo Workflow
• Experience in various data processing paradigms (batch, micro-batch, streaming)
• Practical experience working with a major Cloud Provider such as AWS, GCP, or Azure
• Production experience in integrating ML models into intricate data-driven systems
• DS experience with Tensorflow/PyTorch/XGBoost, NumPy, SciPy, Scikit-learn, Pandas, Keras, Spacy, HuggingFace, Transformers
• Familiarity with different types of databases (Relational, NoSQL, Graph, Document, Columnar, Time Series)
• Fluent in English communication at a B2+ level

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

• Improved medical coverage - EPAMers are eligible to participate in a supplementary health insurance program that shall have the usual coverage in the industry, with the Company funding 100% of the value of the monthly premium for participation
• Lunch Allowance - You will receive a daily allowance of CLP $ 7.000 per working day. Enjoy a nice meal on us
• Allowance for internet and electricity - You will receive an allowance of CLP$15.000 per month to cover internet and electricity expense
• National Holiday Bonus - We celebrate joining the Chilean Market. That is why all our employees will receive a bonus of CLP $86,646 in September
• Christmas Bonus - You will receive an End of Year bonus of CLP $170,539. It will be paid during the month of December, to ensure you have a Happy Holiday!
• 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
• 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
• Are you open to relocation? - If you want to relocate to another country and we have the right project, we will assist you every step of the way, to help you and your family, reach your new home