Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: AI/ML Engineer.
United States Jobs Expertini

Urgent! AI/ML Engineer Job Opening In Medina Minnesota – Now Hiring IRIS Consulting Corporation



Job description

Top Technical Skills & Requirements


  • Programming Expertise: 3+ years of hands-on experience with C# and Python, including building scalable applications and integrating ML models.

  • API Development & Management: Experience designing, building, and managing RESTful API endpoints using C# (.NET) and Python (FastAPI), with a focus on performance, security, and maintainability.

  • Cloud ML Deployment: Proven experience in end-to-end deployment, monitoring, and maintenance of ML models on Azure (preferred) or AWS, including CI/CD pipelines and MLOps practices.

  • Deep Microsoft Azure Experience: Extensive hands-on experience with Azure services including Azure Machine Learning, Azure AI Foundry, Azure Functions, and Azure DevOps, enabling scalable and secure AI/ML solutions across enterprise environments.

  • Azure AI Foundry: Practical experience leveraging Azure AI Foundry for model development, orchestration, and deployment.

  • Applied Data Science: Strong background in data exploration, feature engineering, model selection, and validation across supervised and unsupervised learning tasks.


 

Key Responsibilities

AI Solution Development & Deployment


  • Architect and implement AI/ML solutions using Azure Machine Learning, Azure AI Foundry, Cognitive Services, and Azure OpenAI.

  • Build and deploy NLP and LLM-based models, utilizing frameworks such as LangChain, Semantic Kernel, or LlamaIndex.

  • Design and implement Retrieval-Augmented Generation (RAG) pipelines using Azure AI Search to enhance generative AI capabilities.

  • Develop and manage RESTful API endpoints using C# (.NET) and Python (FastAPI) to serve ML models and data services.

  • Implement CI/CD pipelines and MLOps workflows using Azure DevOps and GitHub for scalable and automated model deployment.

  • Leverage Terraform for infrastructure-as-code (IaC) to provision and manage Azure cloud resources in a repeatable and secure manner.


Model Lifecycle Management


  • Lead end-to-end ML model lifecycle including data exploration, feature engineering, model training, validation, and deployment.

  • Monitor and maintain deployed models in production environments, ensuring performance, reliability, and scalability.

  • Apply best practices in model versioning, automated retraining, and performance monitoring using Azure ML and related tools.


Quality Assurance & Governance


  • Conduct thorough testing and validation of AI models to ensure accuracy, reliability, and performance.

  • Optimize and fine-tune models, addressing issues related to data quality, bias, and fairness.

  • Stay current with industry trends and best practices in AI technology, incorporating them into solution development.


Education & Experience


  • Bachelor's Degree in Computer Science, Data Science or similar (relevant work experience is acceptable)

  • 3+ years of experience in AI/ML development, with a focus on OpenAI Services, NLP and LLMs.

  • Experience in a consulting environment, engaging with clients and delivering tailored solutions.


Preferred Consulting Experience


  • Collaborate with sales and delivery teams to scope and design AI solutions tailored to client needs.

  • Contribute to proposal development, including technical architecture, effort estimation, and value articulation.

  • Deliver technical presentations and demos to stakeholders, showcasing solution capabilities and business impact.


Equal opportunity employer including disability/veterans.


Required Skill Profession

Architecture And Engineering



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your AI ML Potential: Insight & Career Growth Guide


  • Real-time AI ML Jobs Trends in Medina, Minnesota, United States (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for AI ML in Medina, Minnesota, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 23072 jobs in United States and 16 jobs in Medina, Minnesota. This comprehensive analysis highlights market share and opportunities for professionals in AI ML roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

  • Are You Looking for AI/ML Engineer Job?

    Great news! is currently hiring and seeking a AI/ML Engineer to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

  • 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 IRIS Consulting Corporation adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:
    • 1. Independence
    • 2. Loyalty
    • 3. Impartiality
    • 4. Integrity
    • 5. Accountability
    • 6. Respect for human rights
    • 7. Obeying United States laws and regulations
  • What Is the Average Salary Range for AI/ML Engineer Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Medina Minnesota. 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 Engineer?

    Key qualifications for AI/ML Engineer typically include Architecture And Engineering and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.

  • How Can I Improve My Chances of Getting Hired for AI/ML Engineer?

    To improve your chances of getting hired for AI/ML Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

  • Interview Tips for AI/ML Engineer Job Success
    IRIS Consulting Corporation interview tips for AI/ML Engineer

    Here are some tips to help you prepare for and ace your job interview:

    Before the Interview:
    • Research: Learn about the IRIS Consulting Corporation'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 Engineer interview at IRIS Consulting Corporation, 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 IRIS Consulting Corporation'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!

  • How to Set Up Job Alerts for AI/ML Engineer Positions

    Setting up job alerts for AI/ML Engineer is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!