2

Remote Dynamics Nav Developer Jobs in Illinois (NOW HIRING)

This is a unique opportunity to directly impact the next generation of AI by leveraging your advanced engineering skills in a dynamic, remote setting. As an expert you will be creating Reinforcement ...

next page

Showing results 1-20

Remote Dynamics Nav Developer information

What are the key skills and qualifications needed to thrive as a Remote Dynamics Nav Developer, and why are they important?

A Remote Dynamics Nav Developer needs strong expertise in Microsoft Dynamics NAV/Business Central, C/AL or AL programming, and a solid understanding of business processes, typically backed by a degree in computer science or related field. Familiarity with Visual Studio Code, Azure DevOps, SQL Server, and official Microsoft certifications are commonly required. Excellent problem-solving abilities, effective communication, and self-management skills are crucial soft skills for remote collaboration and project delivery. These competencies ensure smooth customization, integration, and ongoing support of Dynamics NAV solutions in distributed work environments.

What is a Remote Dynamics NAV Developer?

A Remote Dynamics NAV Developer is a software professional who specializes in developing, customizing, and maintaining Microsoft Dynamics NAV (now Dynamics 365 Business Central) applications while working remotely. They are responsible for coding, troubleshooting, and implementing solutions that help businesses manage finances, operations, and supply chains. Working remotely allows these developers to collaborate with clients and teams from various locations using online tools and platforms. Their expertise includes C/AL or AL programming, integration, and upgrading NAV systems. Often, they also provide technical support and training to users.

What are some common challenges faced by Remote Dynamics Nav Developers when collaborating with distributed teams?

Remote Dynamics Nav Developers often work with globally distributed teams, which can present challenges such as coordinating across different time zones, ensuring clear communication about project requirements, and maintaining alignment on software updates or customizations. Effective use of collaboration tools, regular virtual meetings, and thorough documentation are essential to overcome these challenges. Additionally, staying proactive in communication and being adaptable to various workflows can help ensure smooth project delivery and strong team synergy.
What are the most commonly searched types of Dynamics Nav Developer jobs in Illinois? The most popular types of Dynamics Nav Developer jobs in Illinois are:
What job categories do people searching Remote Dynamics Nav Developer jobs in Illinois look for? The top searched job categories for Remote Dynamics Nav Developer jobs in Illinois are:
What cities in Illinois are hiring for Remote Dynamics Nav Developer jobs? Cities in Illinois with the most Remote Dynamics Nav Developer job openings:
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Peoria, IL • Remote

Full-time

Posted 12 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.