AI-ML Architect/Lead

AI, Machine Learning, NLP, Python, AWS, deep learning, data scientist, NLTK
Contract W2, Contract Independent, Contract Corp-To-Corp, 6 Months
Depends on Experience

Job Description

The AI-ML Architect/Lead is responsible for leading design, development, and implementation of Solutions and Business Deliverables of AI/ML capabilities across the entire business and technical enterprise. The Architect will be leading large and complex initiatives with responsibility to define implementation roadmaps, system architecture as well as execution.

Position Responsibilities

  • Ensure that consistent design principles and best practices for developing AI/ML capabilities on the cloud are utilized across the enterprise;
  • Partner closely with resident data scientist(s), AI/ML developers, product engineering and other business leaders to influence product and program decisions with facts and data;
  • Build actionable KPIs, production-quality dashboards, informative deep dives, and work effectively with cross functional partners/stakeholders to set and achieve optimal outcomes;
  • Communicates consistently with internal team to ensure the internal understanding, support and ASG infrastructure requirements are met with respect to the product delivery and the associated content;
  • Partner with leadership to influence and drive org design, contribution and prioritization;

Education & Essential Skills

  • BS in computer sciences or equivalent experience preferred;
  • 5+ years of software engineering work experience, including hands-on technical management building enterprise applications
  • Expertise in algorithms and toolsets from Machine Learning domain
  • 5+ years of experience coding in one of the following languages: Java, Python
  • Demonstrated experience of managing large/mid-sized technical teams

Preferred Skills

  • 3+ years of strong hands-on experience developing APIs and modules using Python
  • 2+ years of hands-on experience of using common machine learning f/w like scikit-learn, NLTK, Spacy, etc. for various relevant use cases like classification, clustering, NLP, etc.
  • 2+ years of hands-on experience of using common deep learning f/w like RNN, CNN and LSTMs preferably for NLP use cases
  • Hands-on familiarity with developing within the AWS eco-system highly desirable
Dice Id : 10506671
Position Id : 7533914
Originally Posted : 4 days ago
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