Machine Learning Engineer
Houston, Texas
Hybrid
Full Time
$140k - $170k
Job Description
An innovative startup located in Houston, TX is looking for a Machine Learning engineer to join their dynamic team. Their company leverages the latest advancements in artificial intelligence and machine learning to develop solutions that enhance patient care, streamline medical processes, and enable more accurate diagnoses. With a passionate team of experts from diverse backgrounds, they are committed to pushing the boundaries of what's possible in healthcare. Their collaborative and dynamic work environment encourages creativity, continuous learning, and the pursuit of excellence.
In this role, you will be responsible for designing, developing, and deploying machine learning models that drive their healthcare solutions. The ideal candidate will have a strong background in machine learning algorithms, data analysis, and software engineering. You will work closely with their data scientists, software developers, and domain experts to create scalable and robust models that address complex healthcare challenges. Key responsibilities include data preprocessing, feature engineering, model selection and tuning, and performance evaluation. Additionally, you will stay up-to-date with the latest advancements in the field and contribute to the continuous improvement of their machine learning infrastructure. If you are passionate about applying your skills to solve real-world problems and thrive in a fast-paced startup environment, we would love to hear from you.
Required Skills & Experience
An innovative startup located in Houston, TX is looking for a Machine Learning engineer to join their dynamic team. Their company leverages the latest advancements in artificial intelligence and machine learning to develop solutions that enhance patient care, streamline medical processes, and enable more accurate diagnoses. With a passionate team of experts from diverse backgrounds, they are committed to pushing the boundaries of what's possible in healthcare. Their collaborative and dynamic work environment encourages creativity, continuous learning, and the pursuit of excellence.
In this role, you will be responsible for designing, developing, and deploying machine learning models that drive their healthcare solutions. The ideal candidate will have a strong background in machine learning algorithms, data analysis, and software engineering. You will work closely with their data scientists, software developers, and domain experts to create scalable and robust models that address complex healthcare challenges. Key responsibilities include data preprocessing, feature engineering, model selection and tuning, and performance evaluation. Additionally, you will stay up-to-date with the latest advancements in the field and contribute to the continuous improvement of their machine learning infrastructure. If you are passionate about applying your skills to solve real-world problems and thrive in a fast-paced startup environment, we would love to hear from you.
Required Skills & Experience
- 3+ years of experience in Machine Learning – PyTorch, TensorFlow
- Experience with Data Science tools – NumPy, Pandas
- Experience with Python – Django (open to Flask)
- Experience with Large Language Modeling (LLMs)
- We are needing individuals who thrive in fast-paced environments
- Experience with Jupyter Notebook
- Experience with operations research is a plus
- Experience with FAST Api’s
- 100% Machine Learning / Data Science
- 100% Python development
- 90% LLMs
- 5% AI Development – Operations research
- 100% collaborating with the team
- 100% cross-collaboration with other teams in the IT department
- 401(K)
- Lots of room for growth
- Medical Insurance
- Dental Benefits
- Vision Benefits
- Hybrid schedule (2x a week)
- Paid Time Off (PTO)
- Professional development opportunities and continuous learning programs