Aktuelle Karriere-Informationen von Epam für die Position als Machine Learning Engineer. If the Machine Learning Engineer Stellenangebot in Zürich Ihren Qualifikationen entspricht, reichen Sie Ihre Bewerbung bitte direkt über das aktualisierte Jobkos-Portal ein.
Bitte beachten Sie, dass eine Bewerbung Qualifikationen erfordert, die vom Arbeitgeber festgelegt wurden. Wir hoffen, dass diese Karrierechance bei Epam für die Position als Machine Learning Engineer unten zu Ihrem Profil passt.
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
Build ML (Machine Learning) & NLP (Natural Language Processing) 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 the data of our users, their interests and online behavior to serve the business demands and enable the 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 your models or algorithms into the cloud-native production environment
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
Keep closely following research and engineering developments, like TensorFlow, PyTorch, Scikit and Keras
Roll in the 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 with Python language and worked on various ML toolkits like TensorFlow, PyTorch, Keras, 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 with Data-Modelling Tools
Proficient with multiple ML deployment strategies including static and dynamic
Excellent knowledge of CI/CD pipelines for ML algorithms, training, 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 like 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 like Flask/Django
Knowledge of Docker containers
Our Benefits Include
EPAM Employee Stock Purchase Plan (ESPP)
Enhanced parental leave
Extended pension plan
Daily sickness allowance insurance
Employee assistance program
Referral program
Hybrid working opportunities
Global business travel medical and accident insurance
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
EPAM Schweiz was named a Top Unternehmen , & by Kununu for its people centric culture built on life-long learning
Certain benefits and perks may be subject to eligibility requirements
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. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential
Additional
Please note that any offers will be subject to appropriate background checks
We do not accept CVs from recruiting or staffing agencies
For this Position, we are able to consider applications from the following: Swiss nationals EU/EFTA nationals Third-Land nationals based in Schweiz with an appropriate work permit Displaced people from Ukraine who are currently in Schweiz and hold, or have already applied for, S permits
Job-Informationen:
Unternehmen: Epam
Position: Machine Learning Engineer
Arbeitsort: Zürich
Land: CH
So bewerben Sie sich:
Nachdem Sie die Kriterien und Mindestanforderungen in der Stellenanzeige gelesen und verstanden haben, Machine Learning Engineer at the office Zürich bereiten Sie bitte umgehend Ihre Bewerbungsunterlagen (Anschreiben, Lebenslauf, Zeugnisse) vor. Senden Sie diese über den Link 'Nächste Seite' unten ein.
DIESE STELLENANZEIGE IST ABGELAUFEN (vor über 30 Tagen).
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