Lead Machine Learning Engineer Remote
Lead Machine Learning Engineer Description
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!
We accept CVs in English only.
#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
Requirements
- 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
Nice to have
- 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
We offer
- 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!
Please note that even though you are applying for this position, you may be offered other projects to join within EPAM.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
