Senior Data Scientist / ML GCP at SFEIR

Paris, Île-de-France, France

SFEIR Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
TechnologyIndustries

Requirements

  • 5+ years of experience in data
  • Confirmed expertise on GCP and Vertex AI

Responsibilities

  • Design and develop robust and scalable ML / AI solutions on GCP
  • Implement RAG architectures with Vertex AI Search and orchestrate LLMs
  • Develop Prompt Engineering strategies and model optimization
  • Set up ML model evaluation and monitoring pipelines
  • Participate in clients' AI transformation with innovative solutions

Skills

Key technologies and capabilities for this role

GCPVertex AIVertex AI SearchCloud RunCloud StoragePythonLangchainPandasOpenAIRasaScikit-LearnRAGTerraformPrompt EngineeringML Pipelines

Questions & Answers

Common questions about this position

What is the salary for this Senior Data Scientist role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need 5+ years of experience in data with confirmed expertise on GCP and Vertex AI. Daily technologies include Google Cloud Platform (Vertex AI, Vertex AI Search, Cloud Run, Cloud Storage), Python with ML libraries (Langchain, Pandas, OpenAI, Rasa, Scikit-Learn), RAG architecture, ML evaluation pipelines, and Terraform for IaC.

What does the company culture look like at SFEIR?

SFEIR is a community of 900 tech experts including over 100 data specialists, with 140 GCP certified, 70 trainers, and 7 Google Developers Experts. They offer an active community with more than 50 annual events, participation in Google Cloud events and AI conferences, and innovative AI projects for major clients.

What career growth opportunities are available?

Opportunities include evolution to ML Architect or Lead Data Scientist roles, animating GCP/IA trainings, and speaking at events like DevFest and Devoxx. Continuous training with Google Cloud Skills Boost and ML certifications is also provided.

SFEIR

Digital strategy and technology consulting firm

About SFEIR

SFEIR helps businesses with their digital transformation by providing specialized consulting services in technology. The company focuses on developing both front-end and back-end applications, offering cloud solutions, and implementing Site Reliability Engineering (SRE), data management, and machine learning. SFEIR operates as a Google Cloud Partner of the Year, which showcases its expertise in cloud services. Unlike many competitors, SFEIR emphasizes a community of developers who engage in continuous learning and knowledge sharing. The company also runs the SFEIR Institute, which offers tailored training programs to ensure clients' teams are proficient in the latest digital tools. The main goal of SFEIR is to make technology easy to use and beneficial for businesses, helping them modernize their operations and achieve their digital transformation objectives.

Neuilly-sur-Seine, FranceHeadquarters
1985Year Founded
ACQUISITIONCompany Stage
Data & Analytics, Consulting, AI & Machine LearningIndustries
501-1,000Employees

Risks

Emerging tech firms in France offer similar services at lower costs.
Rapid cloud tech evolution may outpace SFEIR's current training programs.
Shift in Google's partnership policies could affect SFEIR's credibility.

Differentiation

SFEIR is a Google Cloud Partner of the Year, showcasing cloud expertise.
Founded in 1989, SFEIR has decades of experience in digital transformation.
SFEIR Institute offers specialized training, enhancing client teams' tech skills.

Upsides

Growing demand for cloud-native applications aligns with SFEIR's cloud solutions expertise.
Interest in SRE practices offers expansion opportunities for SFEIR's consulting services.
Focus on upskilling boosts demand for SFEIR Institute's training programs.

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