Data Science and Software Engineering Expert

Vor 5 Tagen

Zürich, Zürich, Schweiz Epam Vollzeit

About the Role

We are seeking a highly skilled AI-ML Tech Engineer to join our team in Zurich. 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

  • Design and implement machine learning 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 user data, interests, and online behavior to serve business demands and enable 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 findings and techniques to both technical and non-technical audiences.
  • Stay up-to-date with research and engineering developments, such as TensorFlow, PyTorch, Scikit, and Keras.
  • Integrate 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 in 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 in Data-Modelling Tools.
  • Proficient in 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, such as 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.

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.

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