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Description
ABOUT THE ROLE
We are seeking an AI-ML Tech Engineer in Zurich with a minimum of 8+ years of experience in machine learning, data science, and software engineering. The role involves a mix of remote and on-site work in a hybrid model.
As a Machine Learning Engineer, you will develop and deploy machine learning models, work with large datasets, and collaborate with cross-functional teams to solve business problems.
Responsibilities
- Build ML (Machine Learning) & NLP (Natural Language Processing) solutions using common ML libraries and frameworks.
- Select, improve, and apply various methods from statistics, machine learning, and deep learning to address business challenges.
- Model user data, interests, and online behavior to meet business demands and enable future business models.
- Collaborate closely with data engineering and other teams to develop prototypes and support deployment into cloud-native environments.
- Communicate findings and visualize data value to both technical and non-technical audiences.
- Stay updated on research and engineering developments like TensorFlow, PyTorch, Scikit-learn, and Keras.
- Integrate relevant technologies and methodologies to keep our tech landscape current.
Requirements
- 8+ years of experience in machine learning, data science, and software engineering.
- Proficiency in Python and experience with ML toolkits like TensorFlow, PyTorch, Keras, Scikit-learn.
- Understanding of statistical models and ML algorithms such as regression, clustering, decision trees, neural networks.
- Strong knowledge of cloud computing and AI services.
- Experience deploying AI/ML models in production.
- Expertise in data analytics, feature creation, model selection, ensemble methods, performance metrics, and visualization.
- Experience with large datasets and distributed systems.
- Experience fine-tuning deep learning models, including LLMs and SLMs.
- Knowledge of large language models like GPT-3.5, GPT-4, Codex.
- Experience with Vector Stores and RAG pipelines.
- Proficiency with data modeling tools and ML deployment strategies.
- Knowledge of CI/CD pipelines for ML.
- Ability to translate ML outcomes into business insights.
- Excellent communication skills and stakeholder management experience.
- Fluent English; German is a plus.
Nice to Have
- Knowledge of MLOps, full-stack development, Databricks, Data Mesh, ETL pipelines.
- Experience with agile methodologies, project management tools, frameworks like Flask/Django, and Docker.
Our Benefits Include
- Stock Purchase Plan, parental leave, pension, insurance, assistance programs, hybrid work, training, and more.
About EPAM
EPAM is a global provider of digital platform engineering services, committed to positive impact, diversity, and continuous learning. Join us to work on innovative projects with a diverse community.
Additional
- Offers are subject to background checks.
- No CVs from staffing agencies.
- Applications considered from Swiss nationals, EU/EFTA nationals, certain third-country nationals, and displaced Ukrainians with appropriate permits.