À propos
We provide the resources and time for you to develop your expertise. You will mentor fellow engineers and engage with project stakeholders. Cultivating Talent:
Recognizing the demand for skilled Machine Learning Engineers, we aim to be one of the leading firms in the industry. Our team benefits from regular learning sessions, ethics discussions, and opportunities for professional development. Work-Life Balance:
We cherish our team's balance, offering unlimited PTO and a flexible work-from-home policy. Role Overview: As a Tech Lead in AI Products, you will navigate through various stages of development, architecting solutions, supporting feature development, and preparing high-quality code for deployment. Engage with stakeholders to translate business challenges into effective AI solutions and design architectures that facilitate these transitions. Manage project timelines and priorities through sprint planning, ensuring the team's commitment to quality and best practices. Supervise testing implementation to verify outputs and collaborate with the engineering team to refine AI functionalities. Prepare documentation and user materials to ensure effective product deployment and usage. Conduct reviews for ethical implications and security, ensuring compliance with established standards. Foster growth among your team by guiding and mentoring junior members through code reviews and sharing knowledge. You may be required to travel domestically to meet client needs. Skills Required: Programming Proficiency:
Solid experience in writing scalable, production-ready Python code and familiarity with Linux/UNIX systems. Machine Learning Expertise:
Strong knowledge of machine learning frameworks such as TensorFlow and PyTorch, with demonstrated ability to build and validate AI models. Generative AI Knowledge:
Experience with AI agents using large language models, including prompt engineering and multi-agent orchestration. Software Development Background:
Understanding of the development lifecycle and familiarity with CI/CD practices, including expertise in Docker and Git. Communication Skills:
Excellent ability to convey technical information to non-technical audiences effectively. Agile Methodology:
Experience in Agile workflows, contributing to iterative improvements through regular testing and releases. Preferred Qualifications: AI Agent Oversight:
Familiarity with monitoring AI agents to optimize performance and ensuring effective human-in-the-loop designs. Cloud Competency:
Experience in deploying AI/ML solutions on cloud platforms like AWS, Azure, or GCP. Enthusiasm for Learning:
A desire to remain updated on AI and machine learning advancements and engage with emerging technologies. Professional Services Insight:
Understanding the unique value of service-associated products in a consulting environment. Crowe promotes an inclusive work culture and welcomes talent from all over the United States. We are dedicated to upholding our core values of Care, Trust, Courage, and Stewardship. All candidates will be required to verify their identity and eligibility to work in the United States upon hiring. The salary range for this role is $126,500.00 - $299,500.00 per year, and this depends on various factors, including skills and experience. At Crowe, you will find a comprehensive rewards package designed to support your career growth and well-being.
Compétences linguistiques
- English
Avis aux utilisateurs
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