Transmit Security provides businesses with modern tools to build secure, trusted, and end-to-end digital identity solutions. Our CX-focused, cybersecurity-conscious xCIAM platform enables seamless customer experiences while safeguarding against fraud across all channels and devices. We serve some of the world’s largest banks, insurers, retailers, and other leading brands, managing over $1.3 trillion in annual commerce.
About the Opportunity
As a ML Engineer at Transmit Security, you will be a key player in advancing the AI/ML technologies that power our identity security and fraud prevention solutions. You will lead cutting-edge research and development initiatives, collaborating with cross-functional teams to implement high-impact AI-driven solutions. Your expertise will drive innovation and help scale systems to handle real-time challenges while ensuring top-tier security for millions of users worldwide.
What You’ll Be Doing
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Lead AI/ML Initiatives: Spearhead advanced AI/ML research and development projects, driving innovation in areas such as LLMs for customer experience and AI-driven fraud prevention.
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Develop Predictive Models: Architect, train, and deploy predictive models that optimize customer experiences and security measures, impacting millions globally.
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Mentor and Guide Teams: Provide technical leadership to junior engineers and data scientists, offering mentorship in model development, optimization, and experimentation.
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Evaluate and Deploy AI Models: Design and evaluate the performance of cutting-edge AI models, algorithms, and techniques, utilizing both real-world datasets and simulated environments.
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Drive AI Methodology Adoption: Stay at the forefront of AI/ML advancements, integrating the latest methodologies, frameworks, and tools to ensure Transmit’s security solutions are accurate, scalable, and efficient.
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Data Exploration and Strategy: Lead advanced data exploration and analysis, helping design data strategies for large-scale ML model deployment.
Qualifications
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4+ years of experience as a Data Scientist, ML Engineer, or similar role, with a proven track record of designing and deploying models at scale.
- Strong knowledge of deep learning models and advanced model architectures, including transformers, CNNs, RNNs, and LSTMs.
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Expertise in cloud-based infrastructure (GCP, AWS, Azure), with hands-on experience deploying and scaling AI models in production environments.
- Proficiency in AI/ML frameworks such as Hugging Face, LangChain, OpenAI, TensorFlow, PyTorch, and scikit-learn.
- Excellent problem-solving skills, with a focus on real-time AI/ML applications in high-scale, high-security environments.
Advantages
- Master’s degree in Computer Science, AI, or a related field.
- Experience in NLP and Generative AI models, especially in deploying transformer-based models for real-world applications.
- Strong software engineering skills, with an understanding of data structures and algorithms.
- Expertise in fraud detection, identity management, or security-focused AI/ML solutions.
