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
- Engineering Heritage: Best-in-class experts sharing a culture of excellence and tackling complex engineering challenges for over 30 years
- Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI and other emerging technologies
- World-Class Clients: Work closely with 295+ of Forbes Global 2000 on creating disruptive solutions that make a global impact
- Professional Growth: Exceptional support for career development with comprehensive in-house resources for upskilling or reskilling
- GenAI-X Global Community: A network of AI enthusiasts within EPAM, dedicated to exploring and sharing AI innovations
- Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
- Hybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
- Other Benefits: 5000-6500 EUR gross, based on interview results, additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more
About EPAM
- EPAM is a leading global provider of digital platform engineering and development services. For over 30 years, our team has helped leading brands navigate the waves of digital transformation, building solutions that help them stay competitive through constant market disruption
- With offices in 55+ countries, EPAM has grown in Lithuania to over 1,300 talented innovators in just 3 years. We foster creativity and unconventional ways of doing things, welcoming like-minded professionals to join us
