Applied Ai Engineer
Summary
Applied AI Engineer role focused on developing and deploying advanced AI solutions (LLMs, computer vision, GANs) end-to-end. Day-to-day work involves Python/TensorFlow model development, NLP, data analysis, and collaboration with product managers onsite in Los Angeles.
Applied Ai 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: 0 to 4 years
• Engagement Type: Freelance
• Work Mode: Onsite
• Location: Los Angeles, California, United States
• Openings: 1 position available.
Role Summary
As an Applied Ai Engineer at Alfred Labs, you will play a crucial role in the Information Technology industry. Your responsibilities will include working on innovative AI projects that have a significant impact on our business. Collaborating closely with a dynamic team, you will develop and implement advanced AI solutions while continuously honing your skills in applied AI, particularly in areas such as LLM and computer vision.
Key Responsibilities
- Own end-to-end development of features from conception to deployment, ensuring that solutions are robust and scalable.
- Collaborate with product managers and designers to translate requirements into technical solutions that align with project goals.
- Write scalable, maintainable code and conduct thorough code reviews to ensure high-quality output.
- Mentor junior developers and contribute to team knowledge sharing, fostering an environment of learning and growth.
- Participate in architectural discussions and propose technical improvements to enhance system performance.
- Debug complex issues and optimize application performance, ensuring reliability and efficiency.
- Stay current with industry trends and evaluate new technologies for adoption to maintain a competitive edge.
Must-Haves
- APIs, Advanced SQL, Basic Statistics, Data Analysis, Data Preprocessing, Data Visualization, Django, Excel, Experimentation Techniques, Feature Engineering, JIRA, Jupyter Notebooks, Machine Learning Algorithms, Machine Learning Basics, Model Deployment, Model Evaluation, Model Training, Natural Language Processing (NLP), NumPy, Pandas, Power BI, Python, Python Libraries, Requirements Gathering, SQL, TensorFlow, TensorFlow Basics, Version Control (Git), API Integration, Cloud Computing (AWS), Cloud Services (AWS), Flask, Generative Adversarial Networks (GANs), Model Optimization, Python 3.x, Team Collaboration, Team Leadership, TensorFlow Advanced
Nice-to-Have Skills
- Git, Scrum, AWS, Agile Methodology, Basic ML Concepts, Communication, Data Modeling, GitHub, Google Cloud Platform (GCP), Kubernetes, Postman, Process Mapping, Stakeholder Management, Tableau, User Experience (UX), Advanced Data Analysis, Business Process Mapping, Business Process Modeling, CI/CD, Communication Skills, Docker
Engagement & Compensation
• Employment Type: Freelance
• Work Mode: Onsite
• Location: Los Angeles, California, United States
• Openings: 1 position available.
• Experience: 0 to 4 years
• Billing Cycle: Weekly
• Compensation: Hourly Rate: $0.0 per hour
Additional Comments
Salary is annual ($220,000 - $320,000). On-site role in Los Angeles, 4-5 days per week. Early-stage equity offered. Requires 2+ years applied AI experience at a top Applied AI startup within the last 3 years, with hands-on LLM, computer vision, or specialized model experience.