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Conversational Ai Analyst Jobs in Indiana (NOW HIRING)

Pwc

US Tech - AI Engineering Manager

Indianapolis, IN

$73K - $244K/yr

You will work on developing predictive models, conducting statistical analysis, and creating data ... conversational AI, data, and enterprise systems. This role allows you to be at the forefront of ...

ICEYE

Forward Deployed AI Engineer, Poland

Warsaw, IN · On-site

$100 - $130/hr

Implement prompt engineering strategies and conversational AI interfaces that enable analysts to query satellite data using natural language. * Create Model Context Protocol (MCP) integrations ...

Varsity Tutors

ChatGPT Tutor

Indianapolis, IN · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

Varsity Tutors

ChatGPT Tutor

West Lafayette, IN · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

Varsity Tutors

ChatGPT Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

Varsity Tutors

ChatGPT Tutor

Bloomington, IN · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

Varsity Tutors

ChatGPT Tutor

Valparaiso, IN · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

Accenture

Gemini Enterprise for CX Specialist

Carmel, IN · On-site

$70K - $196K/yr

Architects and provides technical recommendations and analysis between GECX product offerings and ... Minimum of 3 years of experience in technology transformation, with a focus on Conversational AI ...

Lasting Change Inc

AI Engineer

Fort Wayne, IN

... analytics capabilities. This position will design, build, and deploy AI-powered solutions that ... and conversational interfaces. * Engineer prompt pipelines with structured outputs, retrieval ...

Lasting Change, Inc

AI Engineer

Fort Wayne, IN · On-site

... analytics capabilities. This position will design, build, and deploy AI-powered solutions that ... and conversational interfaces. * Engineer prompt pipelines with structured outputs, retrieval ...

Parloa

Senior Agent Architect

Florence, IN · On-site

As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience ... Ability to analyze customer requirements and translate them into LLM prompts and conversational ...

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Conversational Ai Analyst information

What does a conversational AI analyst do?

A Conversational AI Analyst is responsible for designing, analyzing, and optimizing AI-driven conversational interfaces such as chatbots and virtual assistants. They use data to evaluate user interactions, identify patterns, and suggest improvements to enhance user experience and accuracy. Their work often involves collaborating with developers, data scientists, and UX designers, as well as conducting A/B testing and monitoring performance metrics. The ultimate goal is to ensure the conversational AI systems are effective, efficient, and aligned with business objectives.

What are the key skills and qualifications needed to thrive as a conversational AI analyst?

To thrive as a Conversational AI Analyst, you need a solid background in data analysis, natural language processing (NLP), and linguistics, often supported by a degree in computer science, linguistics, or a related field. Familiarity with analytics platforms, chatbot development tools (such as Dialogflow or Rasa), and scripting languages like Python is typically required. Strong problem-solving ability, attention to detail, and effective communication skills help you interpret data insights and collaborate with cross-functional teams. These competencies are crucial for designing, optimizing, and evaluating AI-driven conversational systems to ensure accurate and user-friendly interactions.

What are some common challenges faced by conversational AI analysts when improving chatbot performance?

Conversational AI Analysts often encounter challenges such as accurately interpreting user intent, handling ambiguous queries, and managing the evolving language used by customers. They must continuously analyze conversation logs, identify areas where the AI fails to provide satisfactory responses, and collaborate with data scientists, developers, and UX designers to refine natural language models. Staying up-to-date with advancements in NLP technologies and ensuring that the chatbot aligns with business goals are also important aspects of the role.

What is the difference between Conversational Ai Analyst vs Data Analyst?

AspectConversational Ai AnalystData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of NLP and AI toolsBachelor's in Statistics, Math, or related; proficiency in data analysis tools
Work EnvironmentTech companies, AI startups, customer service platformsBusiness, finance, healthcare, and other industries
Employer & Industry UsageAI-focused companies, tech firms, customer experience teamsVarious sectors analyzing data for insights and decision-making

The Conversational Ai Analyst specializes in developing and optimizing AI chatbots and voice assistants, focusing on natural language processing. In contrast, the Data Analyst interprets data sets to inform business decisions across industries. While both roles require analytical skills and familiarity with data tools, the Conversational Ai Analyst emphasizes AI and NLP technologies, whereas the Data Analyst centers on data visualization and statistical analysis.

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Cities in Indiana with the most Conversational Ai Analyst job openings:

Conversational Ai Analyst jobs near you

Senior AI Engineer - Bioinformatics

Marlabs

Indianapolis, IN • On-site

Full-time

Re-posted 3 days ago

Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Senior AI Engineer - Bioinformatics to join our innovative and dynamic team.
Senior AI Engineer - Bioinformatics | About You
As a Senior AI Engineer - Bioinformatics, you are responsible for building modern, data-driven web applications that enable scientists and researchers to interact with complex datasets intuitively and efficiently. You enjoy working across the entire stack, from designing backend services and APIs to crafting responsive, elegant frontends. You thrive in environments where you collaborate closely with UX designers, scientists, and engineering partners to turn ideas into high-impact tools. You value clean architecture, reusable components, automated testing, and strong engineering best practices. You are energized by creating user experiences that simplify scientific workflows and make large-scale data accessible and actionable.
Senior AI Engineer - Bioinformatics | Day-to-Day
  • Design, develop, and support scalable full-stack applications and AI-powered solutions using Python and modern development technologies.
  • Build and integrate Generative AI capabilities using LLM platforms such as OpenAI, Azure OpenAI, and Anthropic, including prompt engineering and context management.
  • Develop agentic workflows, tool integrations, and function-calling capabilities to automate complex business processes and enhance user experiences.
  • Integrate enterprise applications with platforms such as Microsoft 365, SharePoint, Microsoft Graph, ServiceNow, Jira, and Confluence through secure APIs.
  • Implement secure authentication, authorization, and secrets management practices while ensuring compliance with enterprise security standards.
  • Collaborate with cross-functional teams to deliver, deploy, and continuously improve applications through CI/CD pipelines, containerization, and modern DevOps practices.

Senior AI Engineer - Bioinformatics | Skills & Experience
  • 7+ years of experience in full-stack application development within enterprise or technology-driven environments, with strong proficiency in Python.
  • Hands-on experience building AI and Generative AI solutions, including LLM API integrations, prompt engineering, token management, and conversational AI applications.
  • Strong experience with enterprise integrations, including Microsoft 365, Microsoft Graph, SharePoint, ServiceNow, Jira, Confluence, and REST APIs.
  • Expertise in secure application development, including SSO integrations (SAML, OAuth2, OIDC), API gateways, middleware, and secrets management best practices.
  • Experience with modern DevOps and cloud-native development, including containerization, CI/CD pipelines, deployment automation, and application lifecycle management.

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