This is a remote position.
We are seeking a Machine Learning & AI Engineer to join our team to drive innovation in our SaaS product. In this pivotal role youll collaborate directly with our VP of IT and Product Development Manager to architect implement and enhance AIpowered features that deliver measurable value to our customers.
Responsibilites:
- Spearhead the development and deployment of machine learning solutions including predictive modeling and generative AI implementations.
- Design and implement internal ML model training pipelines and workflows.
- Lead integration efforts of various AI/ML technologies into our existing product stack.
- Architect scalable solutions utilizing AWS infrastructure.
- Establish best practices for AI/ML development and deployment.
- Provide technical leadership and mentorship within the engineering team.
Requirements
- Extensive experience developing and deploying machine learning models with a strong focus on LLM implementations.
- Advanced proficiency in Python for ML/AI development and automation.
- Deep understanding of AWS services particularly EC2 and S3.
- Experience with modern database technologies including MySQL MongoDB and Elasticsearch.
- Working knowledge of PHP and Laravel framework.
- Proven track record of implementing and managing production ML systems.
Personal Qualities:
- Demonstrated ability to work independently and manage complex projects.
- Exceptional problemsolving skills with strong attention to detail.
- Outstanding written and verbal communication abilities.
- Track record of innovation and creative solution development.
- Proactive mindset with excellent time management skills.
- Ability to translate technical concepts to nontechnical stakeholders.
Benefits
Work Location: Remote
5 days working
Extensive experience developing and deploying machine learning models, with a strong focus on LLM implementations. Advanced proficiency in Python for ML/AI development and automation. Deep understanding of AWS services, particularly EC2 and S3. Experience with modern database technologies including MySQL, MongoDB, and Elasticsearch. Working knowledge of PHP and Laravel framework. Proven track record of implementing and managing production ML systems.