Machine Learning Engineer

Machine Learning Engineer - Skill-Based Screening & Signing Bonus

Location: Remote

About Durendal Resources: Durendal Resources is pioneering the future of critical metals exploration with a state-of-the-art digital prospecting platform. Through machine learning, advanced data analytics, and extensive geological datasets, we aim to drastically increase the success rate of discovering essential mineral deposits for the electric vehicle and renewable energy sectors. Our innovative approach not only reduces environmental impact but also speeds up discovery processes and improves investment efficiency. Join us in leading the transition to a more sustainable and resource-efficient future.

Role Overview: We're looking for a skilled Machine Learning Engineer to enhance our team. You will be instrumental in developing our digital prospecting platform, applying machine learning models to complex geological data to pinpoint potential mineral deposits accurately. This is a unique opportunity to contribute to an industry-changing solution, making mining operations more sustainable and efficient.

Screening Assessment: To ensure we're bringing on board the best talent, candidates will undergo a skill-based screening assessment. This assessment will evaluate your proficiency in machine learning, data analysis, and your ability to apply these skills to real-world geological challenges. It's your chance to showcase your problem-solving capabilities, technical expertise, and innovative thinking.

Signing Bonus: To recognize the value and commitment of joining our team, the selected candidate will receive a signing bonus. We believe in rewarding those who are ready to contribute to our mission from day one.

Key Responsibilities:

• Design, implement, and refine machine learning models to analyze and interpret complex geological datasets.
• Collaborate with a multidisciplinary team to integrate machine learning insights into our prospecting platform.
• Continuously innovate and improve our methodologies to maintain our competitive edge in mineral exploration technology.
• Engage in professional development opportunities to stay at the forefront of machine learning and geological data analysis advancements.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• Proven experience in machine learning, data mining, and statistical modeling.
• Strong programming skills in Python, including experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Familiarity with cloud services (Azure) and containerization technologies (Docker, Kubernetes).
• Excellent problem-solving abilities and a passion for innovation.
• Ability to work independently and collaboratively in a remote team environment.
• Experience in geospatial data analysis or a keen interest in geology and mineral exploration is a plus.

Why Durendal Resources?

• Make a real-world impact by contributing to sustainable resource exploration.
• Work with a team of passionate experts dedicated to innovation and excellence.
• Competitive compensation and a signing bonus.
• Continuous learning and growth opportunities in an innovative field.

Join us at Durendal Resources and play a pivotal role in transforming the mineral exploration industry for a sustainable future. Apply now and take the first step towards a rewarding career with us.