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Lead Machine Learning Engineer Lithuania

Lead Machine Learning Engineer Description

Description


You are strategic, resilient, engaging with people and a natural self-starter. You have a passion for solving complex problems. If this sounds like you, this could be the perfect opportunity to join EPAM as a Lead Machine Learning Engineer.

Scroll down to learn more about the position’s responsibilities and requirements.
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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 5000-6500 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 Lithuania
  • Friendly team, and enjoyable working environment
  • Relocation within offices in 50+ countries with throughout support for you and your family
  • 3 additional vacation days and 4 trust days a year (sick leave without a medical certificate)
  • Private health insurance and corporate discounts for family members

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. Growing fast in Lithuania to 1K EPAMers in less than 2 years, we have myriads of challenges for you to explore

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