AI Solutions Engineer
Summary
AI Solutions Engineer at Expertshub.ai who owns end-to-end feature development, collaborates with product managers and designers, writes scalable code, mentors junior developers, and stays current on AI/ML trends.
AI Solutions Engineer - Drive Innovation & Impact
Take ownership of meaningful projects while collaborating with a talented team of engineers. Perfect for developers ready to level up their career and make their mark in tech.
Position Details
• Experience Range: 0 to 2 years
• Engagement Type: Freelance
• Work Mode: Remote
• Location: Remote
• Openings: 1 position available.
Key Responsibilities
- Own the end-to-end development of features, ensuring they meet user needs and quality standards.
- Collaborate with product managers and designers to translate requirements into effective technical solutions.
- Write scalable and maintainable code while conducting thorough code reviews to uphold team standards.
- Mentor junior developers and actively participate in knowledge-sharing sessions within the team.
- Engage in architectural discussions, proposing technical improvements that enhance system performance.
- Debug complex issues and optimize application performance for a seamless user experience.
- Stay updated with industry trends and evaluate new technologies for potential adoption into the tech stack.
Technical Requirements
• Education: Bachelor’s Degree in Computer Science or a related field.
• Development Experience: Solid understanding of the software development lifecycle, testing methodologies, and CI/CD practices.
• System Design: Basic knowledge of scalable system architecture and database design.
• Collaboration: Experience working in Agile/Scrum environments, showcasing your ability to thrive in team-oriented settings.
• Independence: Demonstrated ability to work autonomously and effectively manage project timelines.
Must-Haves
- AWS, Azure, Data Science, GCP, GenAI, Go, JS/TS, Java, LLM, LLM / Agentic frameworks, ML, ML Frameworks, ML/DS concepts, ML/DS concepts, model evaluation strategies and lifecycle, MLOps, PyTorch or Scikit-learn, Python, Python, JS/TS, Java, Go,, REST APIs, TensorFlow, model evaluation strategies and lifecycle, Data Science, MLOps, ML Frameworks ,LLM / Agentic frameworks, Machine Learning
Engagement & Compensation
Employment Type: Freelance
Expected Utilisation: 40 hours per week
Compensation: Hourly Rate: $0.0-$0.0 per hour
Additional Comments
This role offers a unique opportunity to work on impactful projects within the IT industry, contributing to innovative solutions that enhance user experiences. As part of a dynamic team, you’ll have the chance to grow your skills and influence technical decisions.