A bit about us:
We are a small business focused on securing large enterprise communication systems. Our solutions provide a voice and call firewall, which detect authentic and malicious calls. Our solutions are deployed on the customer premise and in the cloud.
Why join us?
Full Covered Benefits
Job Details
Education & Experience
Ph.D. or Masters in one of the relevant fields with at least 3+ years of industry experience:
Computer Science
Electrical Engineering
Machine Learning
Artificial Intelligence
Mathematics
Key Qualifications
Excellent verbal and written communication and presentation skills, ability to convey rigorous ML/AI and relevant mathematical concepts to non-experts
Collaborate with cross-domain researchers and engineers to architect robust and real-time ML/AI-based system
Familiarity with core networking protocols, telecommunications and VoIP protocols, common engineering and ML/AI toolkits. Examples: Git, Cloud computing platforms, Jupyter Notebook, Scikit-Learn, TensorFlow, Pytorch, Keras, etc.
Working knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop, Spark, etc.
Creativity to engineer novel features, and to push beyond current tools and approaches
ML / AI SPECIFIC QUALIFICATIONS
Investigate adversarial trends in multimedia, e.g. text, audio, video, image data, identify patterns and integrate these into ML/AI systems for continuous learning and classification
Practical experience with and theoretical understanding of ML/AI algorithms for classification, regression, clustering, and anomaly detection etc.
Design and implement data-science/machine-learning solutions, applying state-of-the-art techniques and algorithms, and developing custom solutions as needed by the business problem
Ability to implement data science pipelines and applications in a general programming language such as Python or Java
Ability to identify relevant concepts behind patterns observed in data and extract meaningful business insights from them
Ph.D. or Masters in one of the relevant fields with at least 3+ years of industry experience:
Computer Science
Electrical Engineering
Machine Learning
Artificial Intelligence
Mathematics
Key Qualifications
Excellent verbal and written communication and presentation skills, ability to convey rigorous ML/AI and relevant mathematical concepts to non-experts
Collaborate with cross-domain researchers and engineers to architect robust and real-time ML/AI-based system
Familiarity with core networking protocols, telecommunications and VoIP protocols, common engineering and ML/AI toolkits. Examples: Git, Cloud computing platforms, Jupyter Notebook, Scikit-Learn, TensorFlow, Pytorch, Keras, etc.
Working knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop, Spark, etc.
Creativity to engineer novel features, and to push beyond current tools and approaches
ML / AI SPECIFIC QUALIFICATIONS
Investigate adversarial trends in multimedia, e.g. text, audio, video, image data, identify patterns and integrate these into ML/AI systems for continuous learning and classification
Practical experience with and theoretical understanding of ML/AI algorithms for classification, regression, clustering, and anomaly detection etc.
Design and implement data-science/machine-learning solutions, applying state-of-the-art techniques and algorithms, and developing custom solutions as needed by the business problem
Ability to implement data science pipelines and applications in a general programming language such as Python or Java
Ability to identify relevant concepts behind patterns observed in data and extract meaningful business insights from them