AI/ML Engineer
2 weeks ago
Company Overview:
At Finelabs, LLC, we are at the forefront of cybersecurity and innovation. Our mission is to enhance digital security through cutting-edge technology solutions. We value creativity, dedication, and a forward-thinking approach in all our team members as we develop robust cybersecurity products that protect our clients from digital threats.
Position Summary:
We are seeking an experienced AI/ML Engineer to join our dynamic team. The ideal candidate will have at least 5 years of experience in fine-tuning custom models, integrating AI/ML capabilities into enterprise applications, and generating effective datasets. This role requires a proactive individual who can collaborate with both technical and product teams to drive our AI initiatives forward.
Key Responsibilities:
- Design and develop machine learning algorithms and models to enhance our cybersecurity solutions.
- Fine-tune custom AI models to meet specific requirements and integrate them into existing enterprise applications.
- Generate, augment, and maintain datasets suitable for training and validating models.
- Collaborate with data engineers and software developers to ensure seamless implementation of AI functionalities.
- Stay abreast of industry trends and advancements in AI/ML technologies, applying this knowledge to improve our products.
- Conduct rigorous testing and validation of models to ensure accuracy and reliability.
- Provide AI/ML insights and support to cross-functional teams, including product development and data analysis groups.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 5 years of experience in AI/ML engineering, specifically in fine-tuning models and integrating them into software applications.
- Strong proficiency with programming languages such as Python.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Keras) and libraries.
- Demonstrated ability to create and manage large datasets.
- Excellent problem-solving skills and ability to work in a team-oriented, collaborative environment.
- Strong communication skills to effectively share technical information with non-technical team members.
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