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AI & ML Solutions Engineer Job Opening In Charlotte – Now Hiring Jones Grove IT Recruiting


Job description

AI & ML Solutions Engineer

Full Time - Permanent Position

Charlotte, NC (Hybrid)

 

About the Role

We are looking for a hands-on, consultative technologist to lead the design, development, and deployment of AI/ML and GenAI solutions across the business.

This is a high-impact role for someone who thrives at the intersection of engineering, data science, and business outcomes.

 

As the AI & ML Solutions Engineer, you’ll be the team’s “Swiss Army knife”—capable of building end-to-end solutions: from shaping business use cases to architecting pipelines, deploying models, and prototyping GenAI applications.

You’ll work directly with internal stakeholders to deliver measurable value, helping us automate, predict, and optimize across operations and supply chain.

 

We’re not looking for a domain expert in one area—we’re looking for a strong generalist who can go deep where needed.

If you’re driven to experiment, move fast, and make things real, we want to talk.

 

What You’ll Do

  • Own the AI lifecycle – Build, deploy, and maintain ML and GenAI solutions using Databricks, Azure, MLflow, and Snowflake.
  • Experiment & deliver quickly – Run rapid proof-of-concepts to validate ideas, then scale what works into production.
  • Automate for impact – Develop Python/R-based workflows, ML pipelines, and API endpoints to automate business processes.
  • Lead solution design – Translate ambiguous business challenges into technical solutions, including MLOps infrastructure, model selection, and GenAI frameworks.
  • Collaborate cross-functionally – Work closely with data engineers, architects, and business stakeholders to align solutions with strategic priorities.
  • Enhance team capability – Share best practices and contribute to a culture of experimentation, continuous learning, and delivery.

 

The Tech Stack

  • Cloud & Data Platforms: Azure, Snowflake, Databricks
  • Languages & Tools: Python (Pandas, PySpark, scikit-learn, FastAPI), R
  • MLOps: MLflow, CI/CD (GitHub Actions), Docker, Kubernetes (AKS)
  • GenAI: OpenAI, LangChain, LlamaIndex, vector databases (FAISS, Pinecone, Weaviate), RAG pipelines
  • Visualization/Apps: Power BI, Power Automate, Teams-integrated tools

 

What We’re Looking For

Must-Haves:

  • 3–5+ years of experience in data science, machine learning engineering, or full-stack AI solutioning
  • Experience with end-to-end ML pipeline delivery—from data prep and feature engineering to deployment and monitoring
  • Strong Python skills and familiarity with Databricks, Snowflake, and cloud-native workflows
  • Exposure to GenAI tools and frameworks, including building or experimenting with LLM-based applications including OpenAI (GPT-4), Anthropic (Claude), Meta (LLaMA 2/3), Mistral, Google Gemini, and Cohere
  • Understanding of MLOps practices: model promotion, versioning, retraining, and feature stores
  • Ability to work with stakeholders, frame business problems, and deliver outcomes—not just models
  • Comfortable failing fast and iterating quickly based on feedback

Nice to Haves:

  • Consulting background or experience working directly with non-technical stakeholders
  • Experience in manufacturing, supply chain, or industrial domains
  • Familiarity with infrastructure-as-code and Git-based workflows
  • Experience integrating AI/ML outputs into user-facing tools or internal workflows (e.g., Teams bots, dashboards)

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your AI ML Potential: Insight & Career Growth Guide


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Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for AI ML in Charlotte, United States, highlighting market share and opportunities for professionals in AI ML roles.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Jones Grove IT Recruiting adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Charlotte. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for AI & ML Solutions Engineer?

Key qualifications for AI & ML Solutions Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for AI & ML Solutions Engineer Job Success

Jones Grove IT Recruiting interview tips for AI & ML Solutions Engineer

Here are some tips to help you prepare for and ace your AI & ML Solutions Engineer job interview:

Before the Interview:

Research: Learn about the Jones Grove IT Recruiting's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your AI & ML Solutions Engineer interview at Jones Grove IT Recruiting, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Jones Grove IT Recruiting's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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