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Spark Eighteen

AI/ML Engineer - Senior

Posted 21 days ago
Worldwide
2-5 years experience
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AI Summary

Design and implement machine learning systems for business use cases while conducting applied research. Mentor junior and mid-level data scientists and write production-grade code using object-oriented principles.

This is a remote position.

We’re not just building tech - we’re building smart, scalable solutions that make a real impact. We’re on the lookout for a curious and driven AI/ML Engineer - Senior who’s excited about pushing the boundaries of what AI and machine learning can do. If you love working on real-world challenges, experimenting with the latest in generative AI, and mentoring a talented team, this role is for you.

Join us to be part of a collaborative environment where your ideas are valued, your code powers innovation, and your work directly contributes to meaningful products.



Requirements

  • 3-5 years of relevant experience as a Data Scientist

  • Design and implement machine learning systems for business use cases

  • Conduct applied machine learning research

  • Read and implement research papers, especially in generative AI

  • Mentor junior and mid-level data scientists

  • Write production-grade code using object-oriented programming principles in Python

  • In-depth understanding of statistics and probability

  • Advanced proficiency in Python and object-oriented programming

  • Strong grasp of data structures and algorithms

  • Expertise in machine learning and deep learning libraries such as Scikit-learn, Keras, TensorFlow, and PyTorch

  • Deep understanding of supervised and unsupervised ML algorithms like Logistic/Linear Regression, Gradient Descent, Decision Trees, and SVM

  • Knowledge of building LLM applications using frameworks like LangChain and LlamaIndex is a plus

  • Experience with Transformer architectures and large language models is a plus



Benefits

  • Comprehensive insurance coverage that gives you peace of mind, so you can focus on doing your best work

  • Flexible work arrangements designed to support sustained productivity, personal well-being, and work-life balance

  • Continuous learning and accelerated skill development through hands-on projects and mentorship from experienced industry leaders

  • Global client exposure across 20+ countries, offering real-world experience with diverse markets and business environments

  • Opportunity to work on high-impact, large-scale projects that have collectively generated over $1B in measurable business value

  • Competitive, market-aligned compensation packages that recognize performance, expertise, and long-term contribution

  • Monthly demo days that celebrate innovation, showcase your work, and give you a real voice in what we build

  • Annual recognition programs and performance-driven awards in a truly meritocratic environment

  • Referral bonuses that reward you for helping grow a strong, like-minded team

  • A strong problem-solving culture with opportunities to tackle meaningful, real-world challenges

  • A positive, people-first workplace that supports happiness, balance, and long-term growth



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