Description
ABOUT THE ROLE
We are seeking an AI-ML Tech Engineer in Zurich who has a minimum of 8+ years of strong background in machine learning, data science and software engineering. The role requires 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. Choose, improve and apply various methods from statistics, machine and deep learning technologies to solve business problems
3. Model the data of our users, their interests and online behavior to serve the business demands and enable the future business models
4. 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 your models or algorithms into the cloud-native production environment
5. Communicate and visualize the value of data by describing the findings as well as the way how techniques work to both technical and non-technical audiences
6. Keep closely following research and engineering developments, like TensorFlow, PyTorch, Scikit and Keras
7. Roll in the relevant technologies and methodologies to keep our modern technology landscape up to date
Requirements
8. 8+ years of strong background in machine learning, data science and software engineering
9. Proficient with Python language and worked on various ML toolkits like TensorFlow, PyTorch, Keras, Scikit Learn
10. Theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, random forests, neural networks, etc
11. Strong understanding of cloud computing and cloud AI services
12. Experience in deploying AI/ML models in production environments
13. Experience in data analytics, feature creation, model selection and ensemble methods, performance metrics and visualization
14. Experience working with large datasets and distributed computing systems
15. Experience in fine-tuning DL models including LLMs, SLMs
16. Knowledge of large language models from OpenAI such as GPT 3.5, GPT 4, Codex etc
17. Experience with Vector Stores and RAG pipelines
18. Proficient with Data-Modelling Tools
19. Proficient with multiple ML deployment strategies including static and dynamic
20. Excellent knowledge of CI/CD pipelines for ML algorithms, training, prediction pipelines
21. Experience in translating ML-based outcomes to business-digestible insights
22. Excellent communication skills and experience in managing stakeholders at various levels
23. Fluent English skill is a must, German language skill is a significant advantage
Nice to Have
24. Knowledge of ML Ops like continuous integration, continuous deployment
25. Knowledge of full stack development
26. Knowledge of Databricks, Data Mesh
27. Knowledge of ETL (Extract, Transform, Load) pipeline
28. Familiarity with agile methodologies, such as Scrum or Kanban and project management tools such as JIRA/GITLAB
29. Experience with frameworks like Flask/Django
30. Knowledge of Docker containers
Our Benefits Include
31. EPAM Employee Stock Purchase Plan (ESPP)
32. Enhanced parental leave
33. Extended pension plan
34. Daily sickness allowance insurance
35. Employee assistance program
36. Referral program
37. Hybrid working opportunities
38. Global business travel medical and accident insurance
39. Great learning and development opportunities, including in-house professional training, career advisory and coaching, sponsored professional certifications, well-being programs, LinkedIn Learning Solutions and much more
40. EPAM Switzerland was named a Top Company, & by Kununu for its people centric culture built on life-long learning
41. Certain benefits and perks may be subject to eligibility requirements
About EPAM
42. 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. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential
Additional
43. Please note that any offers will be subject to appropriate background checks
44. We do not accept CVs from recruiting or staffing agencies
45. For this position, we are able to consider applications from the following: Swiss nationals EU/EFTA nationals Third-country nationals based in Switzerland with an appropriate work permit Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits