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Machine Learning Engineer

Epam
Zurich, Switzerland
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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
  • Vor 30+ Tagen
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