Machine Learning Engineer
W2T.ioTX, United States30+ days ago
Job type
- Full-time
Job descriptionBachelor's, Master's, or PhD in Computer Science, Data Science, or related field 2+ years of experience in machine learning or deep learning roles Track record of collaborating with cross-functional teams to solve complex business problems Experience in optimizing ML models for scalability and performance Passion for staying current with the latest ML technologies and best practices Excellent problem-solving and communication skills Self-motivated and able to work in fast-paced environments Contributions to open-source ML projects Experience in specific domains (e.g., NLP, computer vision, reinforcement learning) Publications in ML / AI conferences or journals
Building a List of Machine Learning Candidates - Austin, TX
We are compiling a list of talented Machine Learning professionals in the Austin, Texas area for potential future opportunities. We're interested in individuals with strong backgrounds in machine learning, data science, and software engineering.
Ideal Candidate Profile :
Skills and Expertise :
- Proficiency in designing, developing, and implementing machine learning models and algorithms
- Experience with Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Strong understanding of statistical analysis and mathematics
- Familiarity with big data technologies (e.g., Hadoop, Spark)
- Knowledge of cloud platforms (AWS, GCP, or Azure) is a plus
Education :
Experience :
Personal Qualities :
Nice-to-Haves :
Candidates meeting these criteria will be considered for various machine learning opportunities in Austin's dynamic tech ecosystem. We're building this list to connect top talent with exciting projects and roles in the field of machine learning.