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Generative Ai Project Manager Jobs in Indiana (NOW HIRING)

Deloitte

FinanceAI Senior Consultant

Indianapolis, IN · On-site

$111.40K/yr

Experience defining and measuring KPIs and metrics for generative and predictive AI projects to ... Additionally, we manage risks and opportunities associated with diverse and complex grant programs ...

Accenture

AI Architect, Manager

Indianapolis, IN · On-site +1

$60.25 - $79.25/hr

Provide continuous advice, best practices, and quality assurance to AI project teams related to ... LLM solution architecture & solution development (Generative AI / Azure OpenAI) * Time-Series ...

Artech

Project Manager (AI)

Warsaw, IN · Hybrid

$55 - $60/hr

Project Manager (AI) Job ID: 37248821 Location: Warsaw, IN (Hybrid/Onsite) Duration: 12 Months Pay Rate: $55-60/hr on W2 Short Job Summary Seeking an IT Project Manager with strong AI/Data Strategy ...

New

Nerdy

AI Product Manager

Indianapolis, IN

... AI Product Manager who blends the instincts of a product thinker with the execution chops of a ... Our Live + AI™ platform fuses real-time human expertise with proprietary generative-AI systems ...

Alpha Consulting Corp.

Project Manager (AI)

Warsaw, IN · On-site

$83.30K - $98.50K/yr

Alpha Consulting Corp. is seeking an IT Project Manager with strong AI/Data Strategy implementation experience to lead enterprise IT projects and AI initiatives in a regulated healthcare/medical ...

Scalence L.L.C.

Project Manager (AI)

Warsaw, IN · On-site

$83.30K - $98.50K/yr

L.C. is seeking an IT Project Manager with strong AI/Data Strategy implementation experience to lead enterprise IT projects and AI initiatives in a regulated healthcare/medical device environment.

Accede Solutions Inc.

Project Manager (AI)

Warsaw, IN · Remote

Job Title - Project Manager (AI) Location - Remote (EST Hours) Duration - 12+ Months Duties: What you can expect: As the IT PMO (Project Management Office) Project Manager, you will be responsible ...

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Generative Ai Project Manager information

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

To thrive as a Generative AI Project Manager, you need a solid understanding of AI/machine learning concepts, project management methodologies, and a relevant degree (such as computer science or engineering). Familiarity with tools like Jira, Agile frameworks, and AI platforms (e.g., TensorFlow, PyTorch) as well as certifications like PMP or Agile Scrum Master are highly beneficial. Strong leadership, communication, and problem-solving skills set outstanding candidates apart by enabling them to bridge technical and non-technical teams. These abilities are crucial for delivering AI projects on time, ensuring alignment with business goals, and adapting to rapidly evolving technology landscapes.

What are some unique challenges faced by Generative AI Project Managers when overseeing cross-functional teams?

Generative AI Project Managers often encounter the challenge of bridging knowledge gaps between technical AI specialists, such as data scientists and engineers, and non-technical stakeholders, like product managers or business leaders. Coordinating clear communication and aligning project goals requires balancing rapid technological changes with business requirements, all while ensuring ethical and responsible AI development. Additionally, managing timelines can be complex due to the experimental nature of generative AI projects, which may involve iterative prototyping and unexpected roadblocks. Building trust and facilitating collaboration across diverse teams is key to project success.

What does a Generative AI Project Manager do?

A Generative AI Project Manager oversees projects that involve the development and implementation of generative artificial intelligence solutions. Their responsibilities include coordinating teams of data scientists, engineers, and designers, managing project timelines and budgets, and ensuring that deliverables meet business objectives. They also facilitate communication between technical and non-technical stakeholders to ensure alignment and project success. Additionally, they stay updated on advances in AI technology to guide project direction and innovation.

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

AspectGenerative Ai Project ManagerData Scientist
Required CredentialsProject management certifications, AI knowledgeDegree in Data Science, Computer Science, or related fields
Work EnvironmentCross-functional teams, project planningData analysis, model development
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, research institutions, analytics companies

While both roles involve AI, the Generative Ai Project Manager oversees AI projects, coordinating teams and timelines, whereas the Data Scientist focuses on analyzing data and building models. The project manager ensures project delivery, while the data scientist develops the AI models used within projects.

What are popular job titles related to Generative Ai Project Manager jobs in Indiana? For Generative Ai Project Manager jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Generative Ai Project Manager jobs in Indiana look for? The top searched job categories for Generative Ai Project Manager jobs in Indiana are:
What cities in Indiana are hiring for Generative Ai Project Manager jobs? Cities in Indiana with the most Generative Ai Project Manager job openings:
Generative Ai Project Manager jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Gary, IN • Remote

Other

Posted 5 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