AI Machine Learning Engineer
2 months ago
We are seeking a highly skilled AI Machine Learning Engineer to join our team at WonderBotz. As a key member of our engineering team, you will be responsible for designing, developing, and deploying machine learning models and solutions that drive business value and innovation.
Key Responsibilities- Evaluate long-term direction and recommend solutions to scale with our rapid growth
- Collaborate with team members on key architecture decisions
- Develop high-quality machine learning models and solutions that align with the needs and regulations
- Regularly collaborate with other developers, project managers, and customers to successfully complete projects
- Participate in regular code reviews, often in a mentorship role with other engineers, and ensure compliance with relevant standards and guidelines
- Create and refine best practices, coding standards, and documentation, share knowledge and insights with the team
- Make recommendations to refine and improve our engineering practices
- Bachelor's or master's degree in computer science, computer engineering, or a related technical field.
- 3+ years of experience in software engineering working with one or more of the following programming languages: Python, Ruby, NodeJS, Java, C#
- 3+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining, artificial intelligence, or a related technical field
- Proven experience leading and managing machine learning, deep learning, and AI projects
- Experience with Open-Source Large Language Models (LLMs) and complementary tools: PyTorch, tensorflow, LangChain, LLAMA CCP, etc.
- Experience with developing machine learning models at scale from inception to business impact
- Track record of setting technical direction for a team, driving consensus, and establishing successful cross-functional partnerships
- Experience with containerization and container orchestration technologies (e.g., Docker, Kubernetes, Airflow) and their application to machine learning workflows
- Experience with cloud-based services; AWS preferred (e.g., EKS, Lambda, Sagemaker), with a strong understanding of cloud security practices and compliance requirements
- Experience with DevOps practices and CI/CD tools (e.g., Git, GitHub Actions), ensuring reliable and compliant software delivery
- Proven experience as a solution architect, software architect, or a similar role, with a focus on machine learning, and a deep Excellent problem-solving and analytical skills, with the ability to translate complex business requirements into technical solutions
- Effective communication and presentation skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders
We are an Equal Employment Opportunity employer. If you are passionate about AI and machine learning, and have a strong desire to drive business value and innovation, we encourage you to apply for this exciting opportunity.
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