Lead ML Engineer

ERAKULIS® is an allinone wellness experience for Fitness, Nutrition and Mental Balance, founded by Cristiano Ronaldo. Taking care of physical and mental health is essential for a fulfilling life, and we are here to support individuals every step of the way. Behind your customized plan, we have a team of certified experts who will take the time to listen to your story, understand your aspirations, and craft a tailored wellness experience plan that aligns with your goals and lifestyle. Erakulis is present in every corner of the world and our goal is to become a renowned leader in the wellness industry on a global scale.

We are looking for a passionate and experienced Lead Machine Learning Engineer to join our innovative team at Erakulis. In this role, you will be responsible for leading the development and implementation of advanced machine learning models and solutions aimed at enhancing our wellness platform. You will work closely with data scientists, engineers, and stakeholders to leverage datadriven insights for product innovation and efficiency.

Responsibilities

• Lead the design, development, and deployment of machine learning models and algorithms.
• Collaborate with crossfunctional teams to identify opportunities to integrate machine learning into various products and services.
• Oversee the entire machine learning pipeline from data collection and preprocessing to model training, validation, and deployment.
• Mentor and guide junior machine learning engineers and data scientists.
• Stay uptodate with the latest trends and advancements in machine learning and artificial intelligence.
• Communicate findings and insights to stakeholders effectively and provide strategic recommendations.
• Ensure best practices in code quality, testing, and documentation are followed throughout the development process.

• Requirements

  • Bachelor’s or Master’s in Computer Science, Data Science, Artificial Intelligence, or related field (PhD is a plus).
  • 5+ years of experience in machine learning or applied AI, including deploying models to production.
  • Strong expertise in ML frameworks (TensorFlow, PyTorch, scikitlearn).
  • Proficiency in Python and experience with MLOpscloud platforms (AWSGCPAzure).
  • Solid understanding of data structures, algorithms, and applied statistics.
  • Proven track record of leading ML projects endtoend.
  • Strong leadership skills with experience mentoring engineersscientists.
  • Excellent problemsolving and communication skills.

  • Benefits

    • Competitive salary and performancebased incentives.
    • Comprehensive benefits package.
    • Opportunities for professional development and career advancement.
    • Dynamic and collaborative work environment.
    • Access to company wellness programs and other resources.