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Freelance Ai Robotics Engineer Jobs in Indiana (NOW HIRING)

Jj

Staff AI/ML Software Engr, Navigation

Warsaw, IN · On-site

... robotics and digital surgery. Your unique talents will help patients on their journey to wellness. Learn more at We are hiring for Staff AI/ML Software Engineer in a hybrid role to be based out of ...

Symbotic

System Engineer

Seymour, IN · On-site

The System Engineer focuses on troubleshooting, maintaining, and stabilizing complex electro ... end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a ...

Pwc

CTIO AI Engineering Manager

Indianapolis, IN · On-site

$73K - $244K/yr

... in AI engineering or related field What Sets You Apart - Master's Degree in Computer Engineering ... Robotics preferred - Designing, training, and deploying machine learning models - Developing ...

Symbotic

System Engineer

Seymour, IN

The System Engineer focuses on troubleshooting,maintaining, and stabilizing complex electro ... end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a ...

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Freelance Ai Robotics Engineer information

What are some common challenges freelance AI robotics engineers face when working with clients remotely?

As a Freelance AI Robotics Engineer, one common challenge is ensuring clear communication with clients, especially when discussing complex project requirements and technical constraints. Remote collaboration often requires detailed documentation, regular video meetings, and effective project management tools to keep all stakeholders aligned. Additionally, integrating AI algorithms with hardware components can be difficult without physical access to the client’s robotics platforms, so engineers must often rely on simulations or remote debugging. Successfully navigating these challenges helps build trust and leads to long-term client relationships.

What are the key skills and qualifications needed to thrive as a freelance AI robotics engineer, and why are they important?

To thrive as a Freelance AI Robotics Engineer, you need a strong background in robotics, machine learning, programming (Python/C++), and typically a degree in engineering or computer science. Experience with ROS (Robot Operating System), simulation tools like Gazebo, and AI frameworks such as TensorFlow or PyTorch is commonly required. Strong problem-solving, communication, and project management skills help you collaborate effectively with clients and deliver tailored solutions. These abilities are crucial for designing innovative, intelligent robotics systems that meet client needs in a dynamic, project-driven environment.

What does a freelance AI robotics engineer do?

A Freelance AI Robotics Engineer designs, develops, and implements artificial intelligence solutions within robotic systems on a contract or project basis. Their work often involves programming robots to perform tasks autonomously, integrating machine learning algorithms, and troubleshooting robotic hardware and software. They may collaborate with clients across various industries, such as manufacturing, healthcare, or logistics, to create custom robotic solutions tailored to specific needs. Working freelance allows them flexibility in choosing projects and clients, as well as the opportunity to work remotely or on-site as required.
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Generative AI Automation Engineer - Remote Job

EnthuZiastic

Fort Wayne, IN • On-site

Other

Re-posted 19 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