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Remote Pwc Software Engineer Jobs in Minnesota (NOW HIRING)

Lancesoft

Developer

Minneapolis, MN · On-site +1

$75.75 - $98.48/hr

Remote . We are seeking a Senior Full Stack Software Engineer to support a large enterprise application portfolio within an indirect planning engineering environment. This team maintains and ...

ImageTrend

Software Developer 2

Eagan, MN · On-site +1

$80K - $95K/yr

Under the direction of the Chief Architect, the Software Developer 2 will play a key role in the ... our Remote Work Policy. Deadline to apply is at least 3 days after the posting date listed.

Leidos

Senior DevSecOps Engineer

Eagan, MN · Remote

$106K - $146K/yr

... remote and high-dependency aviation environments. These efforts focus on delivering mission ... Working closely with software engineers, Cloud Systems Owners, systems engineers, cybersecurity ...

New

Leidos

Lead DevSecOps Engineer

Eagan, MN · Remote

$104K - $137K/yr

... remote and high-dependency aviation environments. These efforts focus on delivering mission ... Working closely with software engineers, Cloud Systems Owners, systems engineers, cybersecurity ...

New

Huntington

Actimize Lead Full-stack Engineer

Minneapolis, MN · On-site +1

$70K - $140K/yr

Software development - code, test, debug, document and maintain Anti-Money Laundering/Bank Secrecy ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Actimize Lead Full-stack Engineer

Minnetonka, MN · On-site +1

$70K - $140K/yr

Software development - code, test, debug, document and maintain Anti-Money Laundering/Bank Secrecy ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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Remote Pwc Software Engineer information

What is the difference between Remote Pwc Software Engineer vs Remote Deloitte Software Engineer?

AspectRemote Pwc Software EngineerRemote Deloitte Software Engineer
Required CredentialsBachelor's in CS or related field, coding skills, possibly certifications like AWS or ScrumBachelor's in CS or related field, coding skills, certifications like AWS or Scrum
Work EnvironmentRemote, client-facing or internal projects, collaborative teamsRemote, client-facing or internal projects, collaborative teams
Employer & Industry UsagePwC consulting, finance, and professional services
Common Search & ComparisonYes

The comparison shows that Remote Pwc Software Engineers and Remote Deloitte Software Engineers share similar credentials, work environments, and industry usage. Both roles typically require a bachelor's degree, coding skills, and certifications like AWS or Scrum. They operate remotely within consulting and professional services sectors, often working on client projects. The main differences are related to specific company projects and client bases, but overall, they are comparable roles in the consulting software engineering field.

What are the most commonly searched types of Pwc Software Engineer jobs in Minnesota? The most popular types of Pwc Software Engineer jobs in Minnesota are:
Remote Pwc Software Engineer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Plymouth, MN • Remote

Full-time

Re-posted 17 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.

Apply