AI Strategy and Engineering Lead
1 week ago
About the Role:
We are seeking an experienced AI strategy and engineering lead to develop and execute a long-term AI strategy aligned with our company's overall business objectives.
This role requires a strong understanding of machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), and statistical modeling techniques. The successful candidate will have proficiency in cloud platforms (AWS, Azure, GCP) and cloud-native technologies, as well as strong knowledge of data engineering principles, including data pipelines, data warehousing, and data lakes.
The ideal candidate will have 8-12 years of experience in AI, machine learning, or related fields and be able to stay up-to-date with the latest advancements in AI and machine learning. They will also have excellent problem-solving and analytical skills to identify and address challenges in AI projects, as well as strong communication and presentation skills to effectively convey technical concepts to both technical and non-technical audiences.
We are looking for a proven leader who can inspire and motivate teams, with an advanced degree in computer science, data science, or a related field.
Key Responsibilities:- Develop and execute a long-term AI strategy aligned with our company's overall business objectives.
- Design and implement robust and scalable AI architectures, including data pipelines, machine learning models, and deployment strategies.
- Evaluate and select appropriate AI technologies, frameworks, and tools to optimize performance and cost-effectiveness.
- Oversee the development and training of advanced machine learning models, such as deep neural networks and reinforcement learning algorithms.
- Collaborate with data engineers to ensure the availability, quality, and security of data for AI initiatives.
- Lead and mentor a team of AI engineers and data scientists, fostering a culture of innovation and excellence.
- Work closely with cross-functional teams, including product managers, software engineers, and business analysts, to translate business requirements into technical solutions.
- Adhere to ethical guidelines and regulations related to AI development and deployment, ensuring responsible and fair AI practices.
- Experience with MLOps and DevOps practices.
- Knowledge of natural language processing (NLP), computer vision, and reinforcement learning.
- Familiarity with AI ethics and bias mitigation techniques.
- Experience with AI governance and regulatory compliance.
Salary Range: $200,000 per year
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