Senior Machine Learning Engineer and Technical Leader

vor 1 Monat

Lausanne, Waadt, Schweiz Visium Vollzeit

Job Overview

We are seeking a highly skilled Senior Machine Learning Engineer to assume a technical leadership role in designing, implementing, and deploying innovative solutions with tangible business impact.

Coupling state-of-the-art machine learning techniques with best practices in software engineering, you will build robust and scalable applications that empower our clients to drive meaningful value from their data. You are passionate about understanding client needs to drive top-notch customer experience and adoption.

Responsibilities

The successful candidate will embark on a rewarding journey where they:

  • Proactively take ownership of projects, making decisions and ensuring successful outcomes.
  • Embrace challenges as opportunities to learn, actively seeking and sharing feedback to expand their skills.
  • Exhibit genuine empathy, understanding diverse perspectives and fostering a collaborative and team-oriented atmosphere.
  • Have strong communication skills and the ability to present insights to non-technical and technical stakeholders in an accessible way.

In addition, this should be part of your background to apply:

  • 4+ years of professional experience as a Machine Learning or Data Scientist or in a relevant role.
  • Experience with ML/DL frameworks and tools in Python (Scikit-Learn, TensorFlow, Keras, PyTorch, huggingface/transformers).
  • Proficiency in Software Development best practices (Object-Oriented Programming, Design Patterns, Agile Methodology).
  • Experience in applying deep learning approaches, such as recurrent and convolutional neural networks and transformer models.
  • Experience with MLOps best practices and tools (dvc, MLFlow, tfX, Kubeflow).
  • Experience developing and deploying ML solutions using Cloud services (AWS Sagemaker, GCP, Azure ML).
  • Familiarity with REST API and microservices.

Requirements

The following are a plus:

  • Experience with Data and AI platforms (Databricks, Dataiku, Snowflake) or an associated Data Engineer certification.
  • Experience working in a client-facing or consulting role.
  • Familiarity with Generative AI models & tools (langchain, OpenAI API, LLama2).
  • Familiarity with web development (React, FastAPI, Flask).

Compensation and Benefits

We offer a competitive compensation package, including a yearly education budget to steep your learning curve, a yearly sport budget because a fit body leads to a fit mind, a flexible working culture because your work-life balance matters to us, and an international, knowledgeable, and passionate team with a strong collaborative mindset. The estimated salary for this position is around $120,000 - $180,000 per year, depending on experience and qualifications.

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