Machine Learning EngineerEpam • Zurich, Switzerland

Machine Learning Engineer

Epam • Zurich, Switzerland

Vor 30+ Tagen

Stellenbeschreibung

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 Switzerland was named a Top Company , & 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-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

Jobalert für diese Suche erstellen

Machine Learning Engineer • Zurich, Switzerland

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