We are seeking a skilled Senior Machine Learning Engineer to join our remote team. The successful candidate will play a key role in the design, development, and management of our ML pipeline, following industry-standard methodologies.
In this position, you will focus on constructing, deploying, maintaining, diagnosing, and enhancing steps within the ML pipeline. You will also play a crucial part in leading and contributing to the design and deployment of ML prediction endpoints. Working alongside System Engineers to establish the ML lifecycle management environment and improve coding practices is essential.
We invite those motivated by innovation to join our dynamic team.
Responsibilities
- Contribute to the design, development, and management of an ML pipeline following best practices
- Develop, deploy, maintain, troubleshoot, and enhance ML pipeline stages
- Lead the design and deployment of ML prediction endpoints
- Collaborate with System Engineers to establish the ML lifecycle management setup
- Author specifications, documentation, and user guides for applications
- Enhance coding practices and organize repositories within the scientific workflow
- Configure pipelines for various projects
- Detect technical risks and discrepancies and formulate mitigation plans
- Partner with data scientists to operationalize predictive models, understand the objectives and purposes of models developed by data scientists, and build scalable data preparation pipelines
Requirements
- 3+ years programming experience, ideally in Python, with robust SQL knowledge
- Profound MLOps experience (e.g. Sagemaker, Vertex, Azure ML)
- Intermediate proficiency in Data Science, Data Engineering, and DevOps Engineering
- At least one project delivered to production in an MLE role
- Expertise in Engineering Best Practices
- Practical experience implementing Data Products using Apache Spark Ecosystem (Spark SQL, MLlib/SparkML) or alternative technologies
- Familiarity with Big Data technologies (e.g. Hadoop, Spark, Kafka, Cassandra, GCP BigQuery, AWS Redshift, Apache Beam)
- Experience with automated data pipeline and workflow management tools such as Airflow, Argo Workflow
- Experience in different data processing paradigms such as batch, micro-batch, streaming
- Practical experience with at least one major Cloud Provider including AWS, GCP, Azure
- Production experience integrating ML models into complex data-driven systems
- Knowledge of DS using Tensorflow, PyTorch, XGBoost, NumPy, SciPy, Scikit-learn, Pandas, Keras, Spacy, HuggingFace, Transformers
- Experience with various types of databases including Relational, NoSQL, Graph, Document, Columnar, Time Series
Nice to have
- Practical experience with Databricks MLOps-related tools or technologies such as MLFlow, Kubeflow, TensorFlow Extended (TFX)
- Experience with performance testing tools like JMeter or LoadRunner
- Familiarity with containerization technologies like Docker
Benefits
With us you can:
- Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
- Receive the necessary equipment to perform your work tasks
- Change projects and technology stacks within EPAM
- Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
- Relocation opportunities may be available for eligible candidates, depending on the role and openings at other EPAM locations
- Participate in volunteer, charity programs and communities (both technical and interest-based)
We focus on your professional growth:
- You can plan your individual career path together with your manager
- Receive regular feedback from colleagues
- Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
- Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
- Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
- Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
- Study at EPAM Solution Architecture School with the instructors who are practicing architects
- Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
- Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)
What we offer:
- Vacation and sick leave (including a sick leave without a medical certificate)
- A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
- Medical insurance for family members at corporate rates
- Company support during significant life events (childbirth or adoption, marriage, etc.)
- Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
- E-kids program - a free programming language training program for EPAMers' children