Lead Machine Learning Engineer Montenegro
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.
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
- Outstanding career development opportunities with a transparent roadmap to accelerate your journey
- Knowledge sharing within the community of 61,300+ industry’s top professionals worldwide
- Wide range of professional training, workshops, and mentoring programs plus unlimited access to LinkedIn Learning
- Learning resources and financial support for completing certification programs
- Competitive salary plus annual bonuses for showing outstanding results
- Flexible working schedule and opportunity to work remotely from any place in Montenegro
- Friendly team, and enjoyable working environment
- Relocation opportunities within our offices in 50+ countries
- Corporate health insurance and the possibility of buying private health insurance for the family at a corporate price
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 Montenegro is growing fast and offering myriad challenges for you to explore
