Machine Learning Engineer

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