AI ML Engineer, CCaaS

Overview

On Site
Hybrid
BASED ON EXPERIENCE
Contract - Independent
Contract - W2
Contract - 12+ mo(s)

Skills

Statistics
Business Process
Collaboration
Real-time
PyTorch
Apache MXNet
TensorFlow
Keras
Big Data
Large Language Models (LLMs)
Analytical Skill
Flask
API
DevOps
Docker
GitLab
Continuous Integration
Continuous Delivery
Clustering
Regression Analysis
Evaluation
Modeling
System Implementation
HTML
Cascading Style Sheets
Amazon Web Services
Microsoft Azure
Amazon SageMaker
Analytics
Algorithms
SaaS
Computer Vision
Deep Learning
Natural Language Processing
Software Engineering
Development Testing
Object-Oriented Programming
Version Control
Programming Languages
Python
Data Analysis
NumPy
Pandas
scikit-learn
PySpark
SQL
Computer Science
Mathematics
Data Science
Artificial Intelligence
Machine Learning (ML)
Machine Learning Operations (ML Ops)
SANS

Job Details

Title: AI ML Engineer, CCaaS
Location: Miramar, FL
Duration: 12+ months contract to hire
Compensation: $75.00 - 85.00/hr
Work Requirements: , Holders or Authorized to Work in the U.S.

AI ML Engineer, CCaaS

As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using machine learning (ML) techniques makes you an integral part of delivering a customer-focused solution. Your technical knowledge and desire to problem-solve to support the next generation of systems. As a machine learning engineer on our team, you'll train, test, deploy, and maintain models that learn from data.

In this role, you'll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You'll be part of a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, and subject matter experts to deliver world class solutions to process data and information to provide near real-time analysis. Your advanced and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.

  • Experience in AI, Python programming, and deep learning frameworks, including PyTorch, MXNet, TensorFlow, or Keras, and big data technologies
  • Experience with developing Natural Language Processing (NLP), Large Language Model (LLM), and Retrieval-Augmented Generation (RAG) enabled solutions
  • Experience in working with API services for serving NLP and analytical models, including Flask or Fast API
  • Experience with DevOps Tools, including Docker, K8s, or Gitlab CI/CD
  • Knowledge of AI-enabled systems
  • Knowledge of AI concepts, including clustering, regression, algorithm selection, and evaluation
  • Ability to address unbounded technical issues and problem solve
  • Five years' experience in AI/ML modeling and system implementation
  • Experience with HTML, CSS, and front-end web frameworks
  • Experience with MS Copilot Studio, Amazon Web Services (AWS) or Azure AI and ML services, including Bedrock and Sagemaker
  • Experience with working in enterprise systems
  • Experience with Data Operations, such as analytics, engineering, or platform
  • Knowledge of artificial intelligence principles and practices, including deploying ML models into production
  • Ability to evaluate algorithm performance
  • Security, Cloud, Software Development, AI and ML, Computer Vision, Deep Learning, or NLP Certification

Additional Information:
  • Well-developed software engineering skills, including use of proper development, QA, and production environments, object-oriented programming, version control, and knowledge of multiple programming languages.
  • Experience creating proof of concepts and evaluating new tools and technologies to establish and document best practices.
  • Experience building scalable machine learning systems and data-driven products working with cross-functional teams.
  • Proficient in Python and experience with common data analytics packages (e.g. Numpy, Pandas, Sklearn, PySpark).
  • Proficient in SQL.

Desired Education:

  • Bachelor's degree in Computer Science, Mathematics, or similar field

Desired Experience:
  • 7+ years of overall experience in Data Science & AI.
    5+ years of experience with ML Engineering and/or ML Ops.
Our benefits package includes:
  • Comprehensive medical benefits
  • Competitive pay
  • 401(k) retirement plan
  • ...and much more!

About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About INSPYR Solutions