Overview
On Site
Contract - W2
Skills
Life Insurance
API
RESTful
Web API
Database Administration
Database
PostgreSQL
MongoDB
Distributed Computing
Big Data
Apache Spark
Data Processing
Databricks
Data Engineering
Machine Learning (ML)
Large Language Models (LLMs)
Prompt Engineering
LangChain
Cloud Computing
Scalability
Solution Architecture
FOCUS
Kubernetes
Orchestration
Web Applications
Python
Soft Skills
Problem Solving
Conflict Resolution
Attention To Detail
Communication
Microsoft Certified Professional
Management
Artificial Intelligence
Workflow
Docker
Continuous Integration
Continuous Delivery
IaaS
Google Cloud
Google Cloud Platform
Microsoft Azure
React.js
JavaScript
Telecommunications
Taxes
Insurance
Law
Management Consulting
Finance
Regulatory Compliance
Job Details
Description:
**Hybrid | -2 days/week onsite (Plano, TX or Alpharetta, GA)**
Our client is looking for AI/ML Engineers to support critical projects in their CDO.
We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $60 - $70 / hr. w2
Experience Requirements:
Required Skills
Python & AI/ML Frameworks: Demonstrated expertise in Python and at least one major AI/ML framework.
API Development: Hands-on experience developing RESTful APIs using FastAPI, with a solid understanding of web API architecture principles.
Database Management: Strong proficiency in designing, integrating, and managing multiple databases (e.g., PostgreSQL, MongoDB).
Big Data & Distributed Computing: Experience working with big data processing frameworks such as Spark and Delta Lake for scalable data processing.
Databricks: Hands-on experience with Databricks for collaborative data engineering and machine learning workflows.
AI Agent Integration: Proven expertise in integrating and orchestrating AI agents, large language models (LLMs), or multi-agent systems.
LLM Pipeline Experience: Direct experience designing, building, and optimizing LLM pipelines, including data ingestion, pre-processing, prompt engineering, fine-tuning, and deployment.
AI Workflow Tools: Experience working with AI agent workflow tools such as LangChain and LangGraph.
LLM APIs: Experience working with LLM APIs such as OpenAI, Azure OpenAI, or Hugging Face.
Cloud Computing & Azure Architecture: Good understanding of cloud computing concepts, scalability, and solution architecture, with a focus on Microsoft Azure
Containerization (Docker) & Orchestration (Kubernetes): Experience deploying and managing applications using Docker containers and Kubernetes orchestration.
Web Application Integration: Proven experience with the integration of AI models and web applications via Python
Soft Skills: Excellent problem-solving abilities, attention to detail, and strong communication skills.
Preferred/Nice to Have Skills
Model Context Protocol (MCP): Experience with MCP for coordinating and managing AI models and agent workflows.
Containerization & Cloud Infrastructure: Experience with containerization (Docker), CI/CD pipelines, and cloud infrastructure (Google Cloud Platform, Azure).
Full-Stack Development: Full-stack development experience is a bonus
Familiarity with front-end technologies such as JavaScript, React, or Next.js.
Specific Industry/Domain Knowledge: Specific industry/domain knowledge relevant to telecommunications will be preferable.
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact
About Eliassen Group:
Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate.
Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
**Hybrid | -2 days/week onsite (Plano, TX or Alpharetta, GA)**
Our client is looking for AI/ML Engineers to support critical projects in their CDO.
We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $60 - $70 / hr. w2
Experience Requirements:
Required Skills
Python & AI/ML Frameworks: Demonstrated expertise in Python and at least one major AI/ML framework.
API Development: Hands-on experience developing RESTful APIs using FastAPI, with a solid understanding of web API architecture principles.
Database Management: Strong proficiency in designing, integrating, and managing multiple databases (e.g., PostgreSQL, MongoDB).
Big Data & Distributed Computing: Experience working with big data processing frameworks such as Spark and Delta Lake for scalable data processing.
Databricks: Hands-on experience with Databricks for collaborative data engineering and machine learning workflows.
AI Agent Integration: Proven expertise in integrating and orchestrating AI agents, large language models (LLMs), or multi-agent systems.
LLM Pipeline Experience: Direct experience designing, building, and optimizing LLM pipelines, including data ingestion, pre-processing, prompt engineering, fine-tuning, and deployment.
AI Workflow Tools: Experience working with AI agent workflow tools such as LangChain and LangGraph.
LLM APIs: Experience working with LLM APIs such as OpenAI, Azure OpenAI, or Hugging Face.
Cloud Computing & Azure Architecture: Good understanding of cloud computing concepts, scalability, and solution architecture, with a focus on Microsoft Azure
Containerization (Docker) & Orchestration (Kubernetes): Experience deploying and managing applications using Docker containers and Kubernetes orchestration.
Web Application Integration: Proven experience with the integration of AI models and web applications via Python
Soft Skills: Excellent problem-solving abilities, attention to detail, and strong communication skills.
Preferred/Nice to Have Skills
Model Context Protocol (MCP): Experience with MCP for coordinating and managing AI models and agent workflows.
Containerization & Cloud Infrastructure: Experience with containerization (Docker), CI/CD pipelines, and cloud infrastructure (Google Cloud Platform, Azure).
Full-Stack Development: Full-stack development experience is a bonus
Familiarity with front-end technologies such as JavaScript, React, or Next.js.
Specific Industry/Domain Knowledge: Specific industry/domain knowledge relevant to telecommunications will be preferable.
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact
About Eliassen Group:
Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate.
Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
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.