Machine Learning Engineer

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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

1. Build ML (Machine Learning) & NLP (Natural Language Processing) solutions using common ML libraries and frameworks.
2. Select, improve, and apply various methods from statistics, machine learning, and deep learning to address business challenges.
3. Model user data, interests, and online behavior to meet business demands and enable future business models.
4. Collaborate closely with data engineering and other teams to develop prototypes and support deployment into cloud-native environments.
5. Communicate findings and visualize data value to both technical and non-technical audiences.
6. Stay updated on research and engineering developments like TensorFlow, PyTorch, Scikit-learn, and Keras.
7. Integrate relevant technologies and methodologies to keep our tech landscape current.

Requirements

1. 8+ years of experience in machine learning, data science, and software engineering.
2. Proficiency in Python and experience with ML toolkits like TensorFlow, PyTorch, Keras, Scikit-learn.
3. Understanding of statistical models and ML algorithms such as regression, clustering, decision trees, neural networks.
4. Strong knowledge of cloud computing and AI services.
5. Experience deploying AI/ML models in production.
6. Expertise in data analytics, feature creation, model selection, ensemble methods, performance metrics, and visualization.
7. Experience with large datasets and distributed systems.
8. Experience fine-tuning deep learning models, including LLMs and SLMs.
9. Knowledge of large language models like GPT-3.5, GPT-4, Codex.
10. Experience with Vector Stores and RAG pipelines.
11. Proficiency with data modeling tools and ML deployment strategies.
12. Knowledge of CI/CD pipelines for ML.
13. Ability to translate ML outcomes into business insights.
14. Excellent communication skills and stakeholder management experience.
15. 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.