AI Analyst
Location: Chicago, IL (Hybrid, 2-3 days on-site)
About the Opportunity
A leading industrial enterprise is seeking an adaptable AI Analyst for a contract engagement that could convert to permanent employment or lengthen over time. Based in a hybrid arrangement requiring 2–3 days per week onsite, you will connect business needs, data resources, and emerging technologies to deploy functional machine intelligence solutions. This hands-on position collaborates with cross-functional groups to transform real-world organizational challenges into automated workflows, prototypes, and actionable insights.
Responsibilities
- Identify high-value operational processes, analytical workflows, and reporting tasks where machine intelligence and automation can yield measurable improvements.
- Partner with cross-functional stakeholders to capture project requirements, understand pain points, and define functional use cases for emerging tech.
- Assess cutting-edge machine learning services, tools, and vendor platforms to determine feasibility and business value.
- Construct functional prototypes and proof-of-concept demonstrations addressing targeted operational challenges.
- Review and validate outputs generated by algorithmic models for precision, business context, quality, and reliability.
- Summarize feasibility evaluations, operational impacts, and strategic guidance for company-wide deployment.
- Assemble, transform, and curate diverse structured and unstructured data feeds across varied platforms.
- Partner with engineering groups to connect enterprise APIs, cloud architectures, and databases with downstream machine intelligence solutions.
- Pinpoint and mitigate data discrepancies, accessibility bottlenecks, and formatting errors to ensure high-grade model readiness.
- Apply generative technologies, advanced prompt design, and retrieval-augmented generation architectures to streamline information access.
- Assist with assembling internal virtual assistants, workflow automations, and intelligent system features.
- Embed emerging cognitive capabilities into legacy infrastructure, business software, and enterprise processes.
- Conduct testing, debugging, and continuous model refinement to enhance stability and runtime performance.
- Formulate practical guidelines covering data privacy, model governance, safety, and responsible technology usage.
- Analyze trends, build visual reports, and convert complicated technical observations into actionable business takeaways.
- Establish benchmarks to monitor adoption rates, user engagement, processing efficiencies, and organizational outcomes.
Requirements
- 3-5+ years of experience across business intelligence, data engineering, analytical reporting, machine learning, or related disciplines.
- Practical track record utilizing generative platforms, large language models, or cognitive toolsets within business or technical settings.
- Solid comprehension of prompt crafting, algorithmic pipelines, and the constraints of modern cognitive systems.
- Proficient working with data utilizing Python, SQL, or comparable programming and querying languages.
- Demonstrated background leveraging APIs, building data pipelines, and bridging disparate system architectures.
- Direct exposure to cloud ecosystems, such as AWS, Azure, or Google Cloud.
- Competency in organizing both structured and unstructured inputs for machine learning consumption.
- Skilled in critical thinking, analytical deduction, and complex problem resolution.
- Talent for explaining complex technical topics to non-technical partners and cross-functional leaders.
- Adaptability to perform effectively within a shifting, team-centric environment featuring fluid project priorities.
Preferred Qualifications
- Prior success designing functional prototypes, automated virtual agents, or cognitive workflow integrations.
- Hands-on familiarity with vector storage, embeddings, semantic retrieval pipelines, and orchestration frameworks.
- Grasp of foundational machine learning methodologies, training fundamentals, and model benchmarking metrics.
- Familiarity working with ecosystems like LangChain, Microsoft Copilot, Azure OpenAI, OpenAI, or equivalent environments.
- Comprehension of ethical system deployment, data protection, privacy compliance, and information governance principles.
- History of incorporating cognitive capabilities directly into enterprise reporting platforms, CRM applications, or core business software.
Pay: $50 to $55 per hour
For Talution Group's benefits, please go to https://www.talution.com/consultant-info.
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, ethnic origin, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Talution Group, a member of the Objective Partners family of specialized talent solution providers, uses AI-assisted tools, including Alex by Apriora, to support our recruiting process. These tools may review application materials and analyze interview responses to provide insights about a candidate's experience and qualifications. AI output informs our recruiters; decisions about whether to advance or present a candidate are made by people. Learn more about our use of AI, including how to request an accommodation: https://www.talution.com/ai-in-our-hiring-process.
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