Our client is looking for a highly accomplished Ingeniero de Machine Learning Remoto Senior to spearhead groundbreaking projects in Artificial Intelligence and Emerging Technologies. This is a fully remote position, offering unparalleled flexibility and the opportunity to work with a globally distributed team of experts. The successful candidate will play a pivotal role in designing, developing, and deploying sophisticated machine learning models that drive innovation and solve complex real-world problems. We are committed to a remote-first culture, providing all necessary resources and support for our team members to thrive professionally and personally, regardless of their location. This role is ideal for a self-driven individual passionate about pushing the boundaries of AI.

About the Role

Our client is looking for a highly accomplished Ingeniero de Machine Learning Remoto Senior to spearhead groundbreaking projects in Artificial Intelligence and Emerging Technologies. This is a fully remote position, offering unparalleled flexibility and the opportunity to work with a globally distributed team of experts. The successful candidate will play a pivotal role in designing, developing, and deploying sophisticated machine learning models that drive innovation and solve complex real-world problems. We are committed to a remote-first culture, providing all necessary resources and support for our team members to thrive professionally and personally, regardless of their location. This role is ideal for a self-driven individual passionate about pushing the boundaries of AI.

Key Responsibilities

- Design, develop, train, and deploy advanced machine learning models and algorithms.
- Collaborate with cross-functional teams to define AI/ML project requirements and scope.
- Perform data preprocessing, feature engineering,



and model evaluation.
- Optimize model performance for scalability, efficiency, and accuracy.
- Stay abreast of the latest research and advancements in AI and machine learning.
- Contribute to the development of AI infrastructure and MLOps pipelines.
- Mentor junior engineers and share expertise within the team.
- Communicate complex technical concepts to both technical and non-technical stakeholders.
- Ensure ethical considerations and responsible AI practices are embedded in all projects.

Requirements

- Master's or Ph.D. in Computer Science, AI, Machine Learning, Statistics, or a related quantitative field.
- 5+ years of hands-on experience in developing and deploying ML models in production environments.
- Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop).
- Solid understanding of statistical modeling, deep learning, and natural language processing.
- Excellent problem-solving, analytical, and communication skills.
- Demonstrated ability to work independently and collaboratively in a remote setting.
- Proven track record of delivering impactful AI solutions.
- Experience with MLOps tools and best practices is highly desirable.

Benefits

As a remote-first company, our client offers a highly competitive salary of up to 75000 euros annually, reflecting the seniority and expertise required for this role. We provide comprehensive health insurance, adaptable working hours, and a generous budget for professional development and home office setup. Our client fosters a culture of innovation, collaboration, and continuous learning, empowering employees to achieve their full potential. Join a team that is shaping the future of AI from anywhere in the world.

📌 Aiops Engineer: Aws (Madrid)
🏢 Tamarind Intelligence Group
📍 Madrid