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Entry Level Robotics Automation Engineer Jobs in Massachusetts

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Entry Level Robotics Automation Engineer information

What is the difference between Entry Level Robotics Automation Engineer vs Robotics Technician?

AspectEntry Level Robotics Automation EngineerRobotics Technician
Required CredentialsBachelor's degree in engineering, robotics, or related fieldAssociate degree or technical certification in robotics or automation
Work EnvironmentDesign, programming, and testing robotic systems in labs or manufacturing settingsMaintains, troubleshoots, and repairs robotic systems on the production floor
Employer & Industry UsageManufacturers, automation companies, R&D labsFactories, production plants, automation service providers

Entry Level Robotics Automation Engineers focus on designing and programming robotic systems, often requiring a bachelor's degree. Robotics Technicians primarily handle maintenance and troubleshooting, typically with technical certifications. Both roles work in manufacturing environments but differ in responsibilities and educational requirements.

How to become an entry level robotics automation engineer with no experience?

To become an entry-level robotics automation engineer with no experience, focus on gaining foundational knowledge in robotics, automation, and programming through online courses or a relevant degree such as electrical, mechanical, or computer engineering. Developing skills in programming languages like Python or C++, understanding control systems, and gaining hands-on experience with robotics kits or simulation software can improve employability; certifications in robotics or automation tools are also beneficial.

What are the most commonly searched types of Robotics Automation Engineer jobs in Massachusetts?

The most popular types of Robotics Automation Engineer jobs in Massachusetts are:

What job categories do people searching Entry Level Robotics Automation Engineer jobs in Massachusetts look for?

The top searched job categories for Entry Level Robotics Automation Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Entry Level Robotics Automation Engineer jobs?

Cities in Massachusetts with the most Entry Level Robotics Automation Engineer job openings:

Entry Level Robotics Automation Engineer jobs near you

Generative AI Automation Engineer - Remote Job

Cambridge, MA • On-site

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Other

Re-posted 19 days ago

Key responsibilities

  • Develop, fine-tune, and deploy Generative AI models for automation tasks.

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

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

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