Lead Machine Learning Engineer Latvia

What You’ll Do

• Responsible for the transition of machine learning algorithms to production environment and integration with enterprise ecosystem
• Design, create, maintain, troubleshoot, and optimize the complete end-to-end machine learning life cycle, which includes:
  • machine-learning model optimization
  • data preparation
  • feature extraction
  • model performance monitoring
  • AB/Canar/Bluegreen/etc. testing
  • Integration with Enterprise ecosystem/IoT devices/Mobile devices
• Write specifications, documentation, and user guides for developed solutions
• Build frameworks for data scientists to accelerate the development of production-grade machine learning models
• Collaborate with data scientists and engineering team to optimize the performance of ML pipeline
• Aid In improvement of SDLC practices
• Exploration of new tools and techniques and propose improvements
• Establish and configure CI/CD/CT processes
• Design and maintain ML models continuous training
• Provide capabilities for early detection of various drifts (data, concept, schema., etc.)
• Continuously identify technical risks and gaps, devise mitigation strategies
• Identify and eliminate technical debt in machine learning systems

What You Have

• Experience in Enterprise Software Development for 5+ years
• Solid background in Machine Learning for 3+ Years
• Expertise in NLP/LLM, RecSys, Time Series
• Experience with designing, building and deploying production applications and data pipelines
• Experience in development of highly available, largely scalable, ML driven applications and systems
• Experience with cloud native services: GCP, AWS, Azure
• Able to work closely with customers and other stakeholders
• Strong knowledge and experience in Python development
• Practical experience with one or more Cloud-native services (GCP, AWS, Azure) and Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML)
• Deep understanding of Python ML ecosystem (pytorch, tensorflow, numpy, pandas, sklearn, XGBoost)
• Hands-on experience in implementation of Data Products
• Deep understanding of data preparation and feature engineering
• Understanding of Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML)
• Deep hands-on experience with implementation of SDLC best practices in complex IT projects
• Experience with automated data pipeline and workflow management tools (Airflow)
• Knowledge and experience in computer science disciplines such as data structures, algorithms, and software design patterns
• Hands-on experience in different data processing paradigms (batch, micro-batch, streaming)
• Deep understanding of MLOps concepts and best practices
• Experience with some of the MLOps related platform/technology such as AWS SageMaker, Azure ML, GCP Vertex AI / AI Platform, Databricks MLFlow, Kubeflow, Airflow, Argo Workflow, TensorFlow Extended (TFX), etc
• Production experience in integrating ML models into complex data-driven systems/IoT device/Mobile devices
• Experience with basic software engineering tools (CI/CD environments such as Jenkins or Buildkit, PyPi, Docker, Kubernetes)
• Experience with one of the infrastructures as a code (IoC) framework (Terraform/CDK TF, Ansible, AWS CloudFormation / AWS CDK)

We Offer

• Salary range 4500-6200 EUR gross, based on your experience and interview results
• Outstanding career development roadmap to accelerate your journey
• Engineering community of 61,300+ industry’s top professionals
• Certification and mentoring programs, training, and unlimited access to LinkedIn Learning
• Innovative solutions delivery to the world’s industry leaders
• Regular assessments and salary reviews
• Bonuses for participating in the referral program
• Participation in the Employee Stock Purchase Plan
• Flexible schedule and opportunity to work remotely from any place in Latvia
• Friendly team, and enjoyable working environment
• Relocation within offices in 50+ countries with throughout support for you and your family
• 4 trust days a year (sick leave without a medical certificate)
• High-quality medical services in terms of corporate health insurance

About EPAM

• We are a team of 61,300 technologists, strategists, and designers in 50+ countries. EPAMers help leading brands transform their business through our engineering expertise, design thinking, and business consulting. We foster creativeness and unconventional ways of doing things welcoming like-minded professionals. Our newly opened office in Latvia is growing fast and offering myriad challenges for you to explore