What are the responsibilities and job description for the Machine Learning Engineer position at Online Image?
*This is an in-office position located in Murray, UT*
About Us:
At Leashed AI, (Online Image partner company) we are revolutionizing the way people interact with technology through Conversational AI. Our platform enables businesses and consumers to connect, engage, and innovate using advanced conversational AI solutions. We are passionate about designing intuitive, user-centric experiences that push the boundaries of what's possible with voice technology. We’re looking for a talented and motivated Machine Learning Engineer to join our growing team and help us shape the future of conversational AI. Although Leashed.AI is an early AI start-up, our parent company has been established for 16 years.
Role Overview:
We're looking for a Machine Learning Engineer with a strong foundation in machine learning algorithms and the ability to deploy them into production settings. We primarily work with Natural Language Processing (NLP), Speech to Text, and Text to voice modeling.
With 3 to 5 years of experience in machine learning, your role will involve end-to-end model development, from data preprocessing and feature engineering to model training, evaluation, and deployment.
Key Responsibilities:
- Develop and deploy machine learning models for Conversational AI applications.
- Fine tune or prompt engineer LLMs
- Preprocess and clean datasets, engineer features for model accuracy.
- Research and experiment with new techniques in machine learning and NLP.
- Collaborate with cross-functional teams to meet requirements and analyze model performance.
- Maintain, optimize, and document deployed models.
- Develop testing frameworks and ensure model quality.
- Create documentation and reports for stakeholders.
Qualifications:
- Experience:
- 3-5 years of experience in machine learning engineering, data science, or a related field.
- Proven experience in developing and deploying machine learning models, preferably in Conversational AI or NLP applications.
- Strong background in software engineering principles and practices.
- Strong attention to detail and a commitment to quality.
- Technical Stack:
- Python, Go, and Website Frontend technologies are a plus but not required
- Tensorflow or Pytorch, scikit-learn, and hugging face etc.
- Docker
- AWS
- Linux
- Education:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Data Science, or a related field.
Why Join Us?
- Innovative Product: Be at the forefront of Conversational AI, working with cutting-edge technology to solve real-world customer problems.
- Career Growth: As a rapidly growing start-up, we offer significant opportunities for career advancement, learning, and professional development.
- Collaborative Culture: Work with a passionate and talented team who are excited about building innovative products and supporting customer success.
- Impact: Play a direct role in the success and satisfaction of our clients, helping them unlock the full potential of our AI-powered solutions.
