AI Engineer

Everforth Apex
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 208K

Job location

Remote

Tech stack

Microsoft Word
Java
Microsoft Excel
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Big Data
Code Review
Data Transformation
Software Design Patterns
Python
Machine Learning
Microsoft Office
Microsoft Visio
NoSQL
Microsoft PowerPoint
Power BI
Cloud Services
TensorFlow
Azure
Software Construction
SQL Databases
Systems Integration
Google Cloud Platform
Feature Engineering
Prompt Engineering
Spark
Generative AI
GIT
FastAPI
Containerization
Scikit Learn
Kubernetes
Virtual Agents
Api Design
Software Version Control
Docker

Job description

This position is for a Senior AI Engineer who will design and develop scalable solutions using AI tools and machine-learning models. The role involves research and testing to develop machine learning algorithms and predictive models. The engineer will utilize big data computation and storage tools to create prototypes and datasets, and will be responsible for model training, evaluation, integration, testing, tuning, and monitoring of solutions., * Apply core Python concepts to build and deploy applications that address IT operational needs, automate processes, or manage data.

  • Perform data acquisition, cleaning, preprocessing, and transformation using Python tools for analysis on large scale data sets.
  • Deploy Python applications in cloud service production environments such as AWS, Azure, or Google Cloud Platform, using containerization tools like Docker or Kubernetes.
  • Apply software engineering best practices including version control (Git), writing testable code, code reviews, and using CI/CD pipelines.
  • Implement data science solutions, including data pipelining, feature engineering, and the creation of Machine Learning Models.
  • Use managed AI/ML services provided by cloud platforms to streamline development, deployment, and management of data science applications.
  • Develop and demonstrate proof-of-concepts (PoC), either independently or as part of a team.
  • Consult with architecture teams to identify potential automation solutions which may include AI/ML.

Requirements

Education: A degree from an accredited College/University in a relevant field is preferred. Four additional years of relevant experience may be substituted for a college degree. If the degree is not in an applicable field, an additional four years of related experience is required.

Experience: Over twenty (20) years of relevant experience is required. Candidates must demonstrate capabilities through actual work experience. This includes being an individual with exceptional, highly specialized, or unique expertise, typically identified as a recognized industry leader who can manage program requirements from inception to conclusion.

Technical Skills:

  • Proficiency with multiple AI tools such as Python, Java, or R.
  • Experience with machine learning frameworks like Spark, TensorFlow, or scikit-learn.
  • Expertise in creating technical diagrams with products like Microsoft Visio or Draw.io.
  • Ability to create technical design, architecture, and business presentation documents using Microsoft Office Suite (Word, PowerPoint).
  • Proficiency in creating data representations, charts, and reports in tools such as Microsoft Excel and Power BI.
  • Experience with API development and integration.
  • Competence in querying and managing data in both SQL and NoSQL databases.

Clearance: Must be able to pass a client-mandated clearance process, which includes a drug screening, criminal history check, and credit check. Preferred Qualifications

  • Hands-on experience building MCP servers and integrating with Agentic AI workflows.
  • Proficiency in Generative AI and prompt engineering.
  • Experience using design patterns for building scalable and maintainable applications.
  • Demonstrated awareness and application of ethical guidelines for data science, including addressing bias, ensuring data privacy, and implementing secure coding practices.

Benefits & conditions

The pay rate for this position is between $80.00 and $100.00 per hour. Contract staff may be required to travel to support business efforts. The standard work week is five days a week, eight hours per day, Monday through Friday.

About the company

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click for more details.

Apply for this position