Required Skills/Abilities:
- Proficiency in frameworks like TensorFlow, PyTorch, Scikit-learn, or Keras for building and deploying ML models.
- Expertise in designing and implementing algorithms such as supervised/unsupervised learning, deep learning (e.g., neural networks), reinforcement learning, or natural language processing (NLP).
- Strong coding skills in languages like Python, R, C#, or Java
- Familiarity with tools like Hadoop, Spark, or Kafka for processing and analyzing large-scale data in AI applications.
- Utilize efficient information analysis on large datasets, including data cleaning, feature engineering, and working with tools like Pandas, NumPy, or SQL.
- Possess a driven work ethic for independent work with minimal supervision.
- Use tools like Azure DevOps for version control, issue tracking, and collaboration.
- Microsoft Office (e.g. Outlook, Excel, Word).
- Excellent verbal and written English communication skills.
Why Work for Westfalia Technologies, Inc.?
Our culture can be defined as one of progression and flexibility. Over the years, we have learned it is not only about pay or job title, but more importantly, the relationships and benefits that keep our employees happy and engaged!
- Competitive Salary
- Medical, Dental, and Vision Coverage
- 401K and match options
- Educational Assistance Reimbursement
- Wellness Program
- Healthy Living Reimbursement
- Paid Parental Leave
- And more!
Check out our Careers page for more information regarding our culture and additional benefits at https://www.westfaliausa.com/company/careers!
Westfalia Technologies, Inc. provides equal employment opportunities to all employees and applicants for employment without regard to race, color, ancestry, national origin, gender, sexual orientation, marital status, religion, age, disability, gender identity, results of genetic testing, or service in the military. Equal employment opportunity applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training.