Remote Software Developer - AI & Machine Learning Focus
About the Role
We are seeking a talented Remote Software Developer with a focus on AI and Machine Learning to join our dynamic team at Benzinga. As a Remote Software Developer, you will play a crucial role in developing innovative solutions that reshape the financial media landscape. This is an exciting opportunity to work in a fast-paced environment where your contributions will directly impact our growth and success.
What You'll Do
- Design and implement scalable AI and machine learning models using Python and Go.
- Collaborate with cross-functional teams to define, design, and ship new features for our financial technology platform.
- Analyze and improve the performance of existing algorithms and systems.
- Participate in code reviews and ensure best practices in software development.
- Stay updated with the latest trends in AI, machine learning, and financial technology.
Requirements
- 3+ years of experience as a software developer with a focus on AI and machine learning.
- Proficiency in Python and Go programming languages.
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
- Strong understanding of algorithms, data structures, and software design principles.
- Ability to work independently and as part of a team in a remote setting.
Nice to Have
- Experience in the financial technology sector.
- Familiarity with cloud services (AWS, Azure, Google Cloud).
- Knowledge of data visualization tools.
What We Offer
- Competitive salary ranging from $90,000 to $130,000 per year.
- Flexible working hours and a fully remote work environment.
- Opportunities for professional development and growth.
- Health, dental, and vision insurance.
- Collaborative and inclusive company culture.
This Remote Software Developer position at Benzinga offers a unique opportunity to work on AI and machine learning projects in a fast-growing FinTech company. Enjoy a competitive salary and flexible working conditions.
Who Will Succeed Here
Proficient in Python and experienced with frameworks like TensorFlow and PyTorch for developing machine learning models, demonstrating a strong foundation in AI technologies.
Self-motivated and disciplined, with the ability to work effectively in a fully remote environment, managing time efficiently and prioritizing tasks to meet deadlines without direct supervision.
Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud, showing a practical understanding of deploying machine learning applications and utilizing cloud services for scalability.
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