AI SCORE 8.5

Data Scientist /​ Machine Learning Engineer - Remote Opportunities

$90K–$120K/year

About the Role

We are seeking a Data Scientist / Machine Learning Engineer to join our innovative team and work remotely. In this role, you will design, build, and deploy cutting-edge AI and ML solutions that drive impactful results. As a Data Scientist / Machine Learning Engineer, you'll have the opportunity to work with advanced technologies, including Large Language Models (LLMs) and Generative AI, ensuring high-quality and scalable outcomes.

What You’ll Do

  • Develop and deploy ML/AI models tailored to business needs.
  • Fine-tune and extend LLMs, applying RAG for optimized performance.
  • Conduct data analysis and feature engineering to enhance model accuracy.
  • Build Generative AI solutions for automation and innovation.
  • Collaborate with data engineers, product managers, and stakeholders to ensure alignment and success.
  • Maintain technical documentation and ensure quality through rigorous testing.

Requirements

  • Strong experience in ML, AI, and data science.
  • Hands-on experience with LLMs, Generative AI, and RAG.
  • Proficiency in Python or similar programming languages.
  • Fluency in English (minimum B2); French is a plus.
  • Strong analytical and problem-solving mindset.

Nice to Have

  • Experience with cloud platforms (AWS, Azure, GCP).
  • MLOps experience.

What We Offer

  • International Mobility: Access to a dedicated international mobility department with personalized relocation programs.
  • Career Development: Opportunities to work on projects with cutting-edge technologies across different countries.
  • Continuous Learning: Free training and career-oriented certifications.
  • Personal Growth: Exchange of ideas and best practices among professionals across Europe.
  • Global Citizen in Technology: Work in a global network with access to diverse projects.
Language Requirements
EnglishB2
French(optional)
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This role offers a unique opportunity to work remotely as a Data Scientist / Machine Learning Engineer with a focus on innovative AI solutions. The company provides excellent relocation support and career development.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

About IT International Mobility

Explore IT International Mobility careers in 2026 and discover exciting job openings in remote, hybrid, and office roles. Utilize our advanced filters to find the perfect position tailored to your skills, track your applications seamlessly, and gain valuable company insights. Stay updated with industry news and seize your next career opportunity at IT International Mobility today!

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficient in Python and experienced with libraries such as TensorFlow and PyTorch for developing machine learning models, with a focus on Generative AI and LLM applications.

Self-motivated and disciplined in a remote work environment, able to manage time effectively and deliver projects autonomously while collaborating with a distributed team.

Analytical mindset with a strong background in data analysis and feature engineering, capable of translating complex datasets into actionable insights and innovative AI solutions.

Learning Resources

Python for Data Science Handbookguide

Career Path

Data Scientist / Machine Learning Engineer(Now)Senior Data Scientist / Machine Learning Engineer(2-4 years)Lead Data Scientist / AI Solutions Architect(4-6 years)

Market Overview

Market Size 2024
$50B
Annual Growth
22.5%
AI Adoption in Enterprises
85%
Investment in AI Startups
+40%
Labour Demand for Data Scientists
+30%
Avg Salary for Data Scientists
$120K

Skills & Requirements

Required
PythonMachine LearningArtificial Intelligence
Growing in Demand
Deep Learning (TensorFlow, PyTorch)Natural Language Processing (NLP)Data Visualization (Tableau, Power BI)
Declining
R ProgrammingHadoop MapReduce

Domain Trends

Rise of Generative AI
Generative AI tools are projected to grow by 35% in adoption among enterprises, with companies increasingly leveraging LLMs for content generation and data insights.
Increased Focus on Ethical AI
Around 70% of organizations are prioritizing ethical AI practices in their projects, reflecting a shift towards responsible AI development and deployment.
Growth of Automated Machine Learning (AutoML)
The AutoML market is expected to reach $10B by 2025, growing at a CAGR of 25%, as businesses seek to simplify and accelerate machine learning model development.

Industry News

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