Smarsh is the leader in communications compliance, archiving, and analytics. We provide compliance across the broadest set of communications channels with insights on what’s being captured.
Smarsh customers manage over 500 million daily conversations across 80 channels and growing. Customers include the top 10 U.
S., top 8 European, top 5 Canadian, and top 3 Asian banks. The Smarsh advantage is customers stay ahead of compliance and uncover patterns and relationships hidden within their data.
At Smarsh, we’ve been helping our customers manage new forms of communication since 1998. We work closely with regulators including the SEC, FINRA, IIROC, PRA,FCA and with our customers, to ensure they understand capabilities of today’s technology and our platform meets their most stringent requirements.
Our products include Connected Capture, Connected Archive, Web Archive & Business Solutions.
We recently acquired Digital Reasoning, the global leader in natural language processing (NLP), artificial intelligence (AI), and machine learning (ML).
The addition of Digital Reasoning’s capabilities and expertise will further enable Smarsh customers to spot risks before they happen, maximize the scalability of supervision teams, and uncover strategic insights from large volumes of data in real-time.
Digital Reasoning is looking for a Machine Learning Research Engineer to join their Audio Research team. This is an opportunity to design and implement state-of-the-art solutions for audio analytics in the realm of conduct surveillance.
As a Premier Support Engineer, you will be working directly with our customers to audit, document, troubleshoot, customize, and advise on their Natural Language Processing (NLP), machine learning solution.
You will be responsible for reviewing tickets submitted through our Salesforce and follow-up with the customer. Using a positive attitude and great communication skills you will be driving our relationship with our customers, providing them consultancy services and advising them on best practices.
This role will be learning / working with the following technologies : SQL, Java, Hadoop, ElasticSearch, Cloudera, and our Natural Language Processing (NLP) platform.
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