In the vast landscape of AI, there's a dimension often overlooked: context. Backed by Kingdom Capital, Bordo is at the forefront of this exploration, diving deep into the nuances that give data its true meaning. We're on a mission to empower organizations with a powerful, explainable, and context-aware AI platform.
Our technical ethos is driven by innovation, rigorous research, and a commitment to pushing the boundaries of AI.
We are seeking to hire a highly skilled and experienced Lead Machine Learning Engineer with a strong background in Deep Learning to join our team. As a Lead Machine Learning Engineer, you will design, develop, and implement cutting-edge machine learning solutions that leverage deep learning techniques. You will work closely with cross-functional teams to address complex business challenges and contribute to the advancement of our AI-driven products and services.
- Providing architectural guidance on ML and AI-specific matters.
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Leading the integration of cutting-edge ML and AI technologies into our platform, ensuring scalability and efficiency.
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Collaborating with technical and product leadership to devise optimal solutions for AI/ML challenges.
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Partnering with Senior Engineering Leadership to establish and promote software engineering best practices.
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Staying updated with the latest deep learning techniques and driving enhancements to existing models for improved performance.
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Spearheading the continuous deployment, monitoring, and optimization of Machine Learning pipelines (MLOps).
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Championing efforts to ensure AI model explainability and minimize bias in developed solutions.
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Streamlining model deployments through quantization, pruning, and leveraging hardware-specific accelerations.
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Upholding SDLC best practices through rigorous peer code reviews.
- Minimum of 8 years of experience in Data Science or ML Engineering roles, with a focus on solving complex customer challenges.
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Proven expertise in designing, building, and scaling intricate AI or machine learning systems.
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Mastery of modern ML frameworks and libraries such as PyTorch, TensorFlow, Keras, Scikit-learn, Numpy, SciPy, and HuggingFace Transformers.
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Comprehensive understanding of contemporary techniques in Machine Learning, Deep Neural Networks, Graph Networks, and Transfer Learning.
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A genuine passion for AI and ML, coupled with a commitment to staying abreast of industry advancements.
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Solid foundation in computer science - encompassing algorithms, data structures, computational complexity, and distributed computing.
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Proficiency in writing clean, maintainable, and production-ready Python code.
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A clear grasp of various machine learning methodologies and their respective advantages and limitations.
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An entrepreneurial mindset, complemented by a relentless desire to learn.
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A proven history of delivering intricate projects within stipulated timelines in enterprise-level production settings.
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A strategic vision, combined with technical prowess and a zeal for execution.
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Must be authorized to work in the United States to qualify for this position
We are an Equal Opportunity Employer and are committed to fostering a diverse and inclusive workplace. All employment decisions, including hiring, promotion, compensation, benefits, transfer, and terms of employment, are based on individual qualifications, merit, and business needs, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. We believe in creating a work environment where everyone is treated with respect and dignity and encourage applications from all backgrounds and experiences.
