Principal AI/ML Engineer, Security AI

3 days ago

🏢 In-office - Bay Area

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ThisWay Global

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đź’° $1.1M Equity Crowdfunding on 2021-12

Description

• Lead technical and industry vision for AI and Data Science strategies. • Define and design AI-based solutions, evaluate technical feasibility, and estimate efforts and risks. • Develop prototypes and MVP architectures for innovative features and services that are consistent, maintainable, and scalable. • Collaborate with multi-functional teams to define and achieve strategic objectives. • Mentor and guide a team of AI engineers and data scientists, promoting technical excellence and continuous learning. • Stay updated on AI and ML developments and assess their impact on products and services. • Enforce standard processes in coding, testing, documentation, and maintainability. • Ensure ethical use of AI, focusing on fairness, privacy, security, and transparency. • Communicate complex AI concepts to non-technical audiences and provide thought leadership internally and at industry events. • Contribute to intellectual property through patents, publications, and presentations.

Requirements

• Minimum of 15 years of software engineering experience, including roles such as Director, CTO, Chief, or Principal Engineer in AI/ML/Deep Learning. • At least 7 years of experience with programming languages like Python, Java, or C++, and familiarity with AI frameworks such as TensorFlow, PyTorch, or Keras. • Minimum of 5 years of experience developing, training, and deploying AI models, including machine learning algorithms and deep learning architectures. • At least 5 years of experience with cloud computing platforms (AWS, Azure, Google Cloud) and ML deployment strategies. • Experience with Large Language Models, Natural Language Processing, Computer Vision, Image Processing, and generative AI techniques. • Proven experience in developing AI-based products or systems. • Strong analytical and problem-solving skills. • Excellent leadership and communication skills. • Experience with DataOps/MLOps workflows, infrastructure, and tooling. • Familiarity with Agile and DevOps practices. • Ability to coach and mentor other engineers, particularly early-career professionals. • Capacity to learn and adapt to innovative technologies in a fast-paced environment.

Benefits

• Competitive salary with potential for annual bonuses. • Comprehensive medical, dental, and vision insurance. • 401(k) plan with company matching. • Short and long-term disability coverage and basic life insurance. • Paid time off (PTO) including up to 12 paid holidays and additional days for critical issues. • Paid volunteer time and Employee Stock Purchase Program. • Opportunities for professional development and contributions to intellectual property.

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