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AI/ML Engineer

Il y a 2 mois

Guadeloupe, France Novapulse AI Temps plein
About the Role

We are seeking a highly skilled AI/ML Developer to join our innovative team at Novapulse AI. The ideal candidate will have strong expertise in machine learning algorithms, data preprocessing, model development, fine-tuning large language models (LLMs), and working with big data.

Key Responsibilities:

  1. Design and develop machine learning models to drive business growth and improve customer experience.
  2. Preprocess and analyze large datasets to identify trends and insights.
  3. Implement and optimize algorithms for performance and scalability to meet business needs.
  4. Fine-tune large language models (LLMs) for specific applications to enhance product capabilities.
  5. Manage and analyze big data to derive actionable insights and improve models.
  6. Collaborate with cross-functional teams to integrate AI solutions and drive business outcomes.
  7. Stay up-to-date with the latest advancements in AI and ML technologies to ensure our solutions remain cutting-edge.

What We Offer:

  1. Competitive salary and benefits package that reflects your skills, experience, and contributions to the company.
  2. Flexible working hours and remote work options to support your personal and professional life.
  3. Opportunities for career growth and professional development in a dynamic and collaborative environment.
  4. Collaborative and innovative work culture that values creativity and experimentation.

Ideal Candidate Profile:

We are looking for a highly skilled and experienced AI/ML Developer who possesses the following qualifications:

  1. 5+ years of experience in working with AI/LLMs and machine learning algorithms.
  2. Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  3. Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  4. Experience with data preprocessing and feature engineering.
  5. Strong understanding of machine learning algorithms and techniques.
  6. Proven experience in fine-tuning large language models.
  7. Experience with big data tools and technologies (e.g., Hadoop, Spark).
  8. Excellent problem-solving and analytical skills.
  9. Experience with RAG.