Data Scientist/ Machine Learning Engineer ( NLP) - Remote

Artificial intelligence, Natural language processing, Machine learning, Data science, Deep learning
Full Time
Depends on Experience

Job Description

Cardinal Intellectual Property is actively seeking Data Scientist/Machine Learning Engineer to join our dynamic and fast-growing technology team. This is an excellent opportunity for an Engineer who wants to work with cutting edge technologies and to be a crucial part of building the next generation of our applications by integrating machine learning to speed up the business process. This is a cross-technology opportunity which involves machine learning model invention and application, with the goal of assisting lawyers, researchers, and field specialists in retrieving relevant data quickly and accurately. 

Position Responsibilities/Duties:
 

  • Own the machine learning research and engineering efforts
  • Analyze problem domains and determine overall architecture for NLP ML solutions
  • Select and apply the appropriate regression and/or ML models to business problems
  • Create and deliver working, scalable, production-ready ML solutions
  • Manage the ML lifecycle, including data prep, training data generation, feature engineering, optimization, experimentation, reproducibility, deployment and end-to-end workflow management
  • Define ML architecture best practices and keep up to date with evolving frameworks
  • Determine data type, format, and quantity requirements as necessary
  • Contribute significantly to the growth and success of the company

 

Required Skills and Abilities:
 

  • 6+ years of experience successfully applying machine learning to real-world problems
  • Hands-on experience developing deep neural networks ( RNN (LSTM, GRU) / CNN) or other advanced statistical models as applied to large-scale NLP
  • Strong coding skills in Python or equivalent high-level language
  • Proven experience with textblob, nltk, pandas, numpy. sckit , tensorflow, or similar libraries
  • Knowledge of ML frameworks such as Keras or PyTorch
  • Experience writing real-time prediction/inference code
  • Knowledge of and ability to apply industry-standard coding best practices
  • Knowledge of relational databases and query authoring (SQL)
  • Familiarity with version control systems

Qualifications: 
 

  • MS in Computer Science, Data Science, or a related field, with a specialization in ML/AI.
  • Demonstrated personal initiative and strong ownership of deliverables
  • Ability to explore new ideas and a passion to bring them to life
  • Experience with Azure is a plus

Company Benefits for Full Time employees:

  • Insurance Benefits (Health, Dental, Vision, STD, LTD, V-Life).
  • Paid Time Off including Paid Sick time off.
  • Paid Company Holidays.
  • Retirement Plan-401(K) & ROTH; contributions from Company to retirement plan is in the form of profit sharing.


Cardinal Intellectual Property, Inc. is a global leader in patent and trademark service, and a provider of software services for intellectual property management.  As a leader in the patent research industry, Cardinal IP has been contracted by the U.S. Patent and Trademark Office to conduct their PCT searches and prepare the preliminary opinions across all subject categories. Our technology solutions for intellectual property management include Invention Disclosure Processing, Docketing, and Competitive Monitoring. Our technology platforms incorporate rigorous security and data protection standards, and we maintain confidentiality using the same diligence and procedures as a law firm.  Cardinal Intellectual Property, Inc. provides equal opportunity in employment to all employees and applicants for employment. No person will be discriminated against in employment because of race, religion, color, sex, gender, age, national origin, ancestry, citizenship status, disability, sexual orientation, military status, marital status, genetic information, or any other characteristic protected by applicable Federal, State or local statute or ordinance.

Dice Id : RTX154125
Position Id : 7118776
Originally Posted : 3 months ago
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