Data analytics • Cloud platforms • Digital transformation • App development • Cloud architecture
December 7
🇺🇸 United States – Remote
🤠 Texas – Remote
💵 $180k - $250k / year
⏰ Full Time
🔴 Lead
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
Data analytics • Cloud platforms • Digital transformation • App development • Cloud architecture
• Provide technical leadership in the design and implementation of AI/ML solutions, with a focus on Generative AI. • Design and implement state-of-the-art generative models for tasks such as image synthesis, text generation, and data augmentation. • Collaborate with project managers to define project objectives, scope, and deliverables. • Mentor and coach team members, promoting professional growth and development. • Develop and implement robust machine learning algorithms, with a particular emphasis on generative models. • Lead the deployment of both generative and traditional machine learning models into production, ensuring scalability and reliability. • Work closely with clients to understand their AI/ML requirements, providing strategic guidance.
• Bachelor's or Master's degree in Computer Science, Data Science, or a related field. • Proven experience as a Senior or Principal AI/ML Engineer, with a focus on Generative AI, in a consulting or similar environment. • Strong proficiency in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn, with specialized knowledge in generative modeling libraries. • Expertise in developing and deploying both generative and traditional machine learning models at scale. • Excellent leadership and communication skills. • Demonstrated ability to manage multiple AI/ML projects, including generative modeling projects, simultaneously. • Familiarity with cloud-based AI/ML services (e.g., AWS SageMaker, Azure ML).
• Health/dental/vision insurance • 401k • Long-term/short term disability and AD&D • Reimbursed cell phone plan • Give you your birthday off • Provide you with an environment where high performance is not only recognized but rewarded. • International opportunities available!
Apply NowNovember 30
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