Machine Learning Engineer
vor 2 Monaten
About the Role
We are seeking a highly skilled Machine Learning Engineer to join our team in Zurich. As a key member of our AI-ML team, you will be responsible for developing and deploying machine learning models, working with large datasets, and collaborating with cross-functional teams to solve business problems.
Responsibilities
- Design and implement machine learning solutions using common ML libraries and frameworks
- Choose, improve, and apply various methods from statistics, machine, and deep learning technologies to solve business problems
- Model user data, interests, and online behavior to serve business demands and enable future business models
- Work closely with our data engineering team and other cross-functional teams to develop prototypes for cross-portfolio use cases and support the deployment of models or algorithms into the cloud-native production environment
- Communicate and visualize the value of data by describing findings and techniques to both technical and non-technical audiences
- Stay up-to-date with research and engineering developments, such as TensorFlow, PyTorch, Scikit, and Keras
- Integrate relevant technologies and methodologies to keep our modern technology landscape up-to-date
Requirements
- 8+ years of strong background in machine learning, data science, and software engineering
- Proficient in Python language and experience with various ML toolkits, such as TensorFlow, PyTorch, Keras, and Scikit Learn
- Theoretical understanding of statistical models, such as regression, clustering, and ML algorithms, such as decision trees, random forests, neural networks, etc.
- Strong understanding of cloud computing and cloud AI services
- Experience in deploying AI/ML models in production environments
- Experience in data analytics, feature creation, model selection, and ensemble methods, performance metrics, and visualization
- Experience working with large datasets and distributed computing systems
- Experience in fine-tuning DL models, including LLMs, SLMs
- Knowledge of large language models from OpenAI, such as GPT 3.5, GPT 4, Codex, etc.
- Experience with Vector Stores and RAG pipelines
- Proficient in Data-Modelling Tools
- Proficient in multiple ML deployment strategies, including static and dynamic
- Excellent knowledge of CI/CD pipelines for ML algorithms, training, and prediction pipelines
- Experience in translating ML-based outcomes to business-digestible insights
- Excellent communication skills and experience in managing stakeholders at various levels
- Fluent English skill is a must, German language skill is a significant advantage
Nice to Have
- Knowledge of ML Ops, such as continuous integration, continuous deployment
- Knowledge of full-stack development
- Knowledge of Databricks, Data Mesh
- Knowledge of ETL (Extract, Transform, Load) pipeline
- Familiarity with agile methodologies, such as Scrum or Kanban, and project management tools, such as JIRA/GITLAB
- Experience with frameworks, such as Flask/Django
- Knowledge of Docker containers
About EPAM
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow.
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