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Intern Generative Ai Project Manager Jobs in Rochester, NY

Lthc

AI Engineer I/II

Rochester, NY

... projects involving advanced ML techniques, including large language models (LLMs) and generative AI ... Performs other functions as assigned by management. Level II (in addition to Level I ...

Lthc

AI Engineer I/II

Rochester, NY

... projects involving advanced ML techniques, including large language models (LLMs) and generative AI ... Performs other functions as assigned by management. Level II (in addition to Level I ...

Lthc

AI Engineer I/II

Rochester, NY · On-site

... projects involving advanced ML techniques, including large language models (LLMs) and generative AI ... Performs other functions as assigned by management. Level II (in addition to Level I ...

Synerfac Technical Staffing

Project Manager

Rochester, NY · On-site

$55 - $60/hr

Project Manager Summary Work directly for a well-established organization supporting large-scale ... Disclaimer 'By applying for this job, you agree to receive calls, AI-generated calls, text messages ...

Paychex

Project Manager II - Service

Rochester, NY · Remote

$61K - $96K/yr

Overview Plans, monitors, and manages internal projects from initiation through completion. Leads ... Benefits for part-time, contract, and intern roles may vary. Not sure if you meet every requirement?

Paychex

Project Manager II - Service

Rochester, NY · Remote

$61K - $96K/yr

Overview Plans, monitors, and manages internal projects from initiation through completion. Leads ... Benefits for part-time, contract, and intern roles may vary. Not sure if you meet every requirement?

PTAG Inc.

Project Manager I

Rochester, NY · On-site

$130K/yr

Project Manager I - Rochester, NY - ID#6702 Are you ready to make an impact in the Power industry ... PTAG uses AI-enabled tools to support certain aspects of the recruitment process, including ...

Deloitte

Editor, Consumer Industry

Rochester, NY

Evaluating insights projects' novelty in the generative AI era, along with their alignment with ... Excellent stakeholder management and interpersonal skills, including the confidence to interact ...

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Intern Generative Ai Project Manager information

What is the difference between Intern Generative Ai Project Manager vs Intern Data Analyst?

AspectIntern Generative Ai Project ManagerIntern Data Analyst
Required CredentialsBasic understanding of AI, project management fundamentals, possibly related courseworkStatistical knowledge, data analysis skills, coursework in statistics or data science
Work EnvironmentTech companies, AI startups, research labsData-driven departments, research teams, business intelligence units
Employer & Industry UsageAI development, tech industry, innovation-focused firmsFinance, marketing, healthcare, and other sectors relying on data insights

While both roles involve working with data and technology, the Intern Generative Ai Project Manager focuses on overseeing AI projects related to generative models, coordinating teams, and managing project timelines. In contrast, the Intern Data Analyst primarily analyzes data sets to extract insights, supporting decision-making processes. The roles differ in scope: project management versus data analysis, but both require foundational technical knowledge and are common in tech and data-driven industries.

What are some common challenges Intern Generative AI Project Managers face when coordinating cross-functional teams?

Intern Generative AI Project Managers often encounter challenges in ensuring clear communication between technical and non-technical team members, especially when aligning project goals and timelines. Managing expectations, adapting to fast-evolving AI technologies, and prioritizing tasks under tight deadlines are also frequent hurdles. Successful interns proactively seek feedback, clarify requirements, and leverage project management tools to coordinate effectively across data scientists, developers, and business stakeholders.

What are the key skills and qualifications needed to thrive as an Intern Generative AI Project Manager, and why are they important?

To thrive as an Intern Generative AI Project Manager, you need a foundational understanding of AI concepts, project management principles, and strong organizational skills, typically gained through relevant coursework or a degree in computer science, engineering, or management. Familiarity with tools like Jira, Trello, and basic knowledge of AI platforms such as TensorFlow or OpenAI APIs is often expected. Strong communication, problem-solving abilities, and teamwork help you coordinate between technical and non-technical stakeholders. These skills are crucial for ensuring projects are delivered on time, aligned with objectives, and that team collaboration runs smoothly in a rapidly evolving field.

What does an Intern Generative AI Project Manager do?

An Intern Generative AI Project Manager assists in overseeing projects that involve generative artificial intelligence technologies, such as AI models used for creating text, images, or other content. Their responsibilities often include helping plan project timelines, coordinating team members, tracking progress, and communicating updates to stakeholders. They may also conduct research, document processes, and support the implementation of AI solutions under the guidance of senior project managers. This role provides valuable exposure to both project management methodologies and the rapidly evolving field of generative AI.
Intern Generative Ai Project Manager jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Geneseo, NY • On-site

Other

Posted 7 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