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Machine Learning Engineer
EpamZurich, SwitzerlandVor 30+ Tagen
Stellenbeschreibung8+ 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 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 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 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 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
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
Nice to Have
Our Benefits Include
About EPAM
Additional