AI/ML Engineer - Summer 2025 Intern

Job Title and Department 

Department: Data Science & Artificial Intelligence (DS&AI) 

Location: Chicago only

Base Salary: $75,000-$120,000 pro rated to length of internship

Timeline: May - Aug 2025 (40 hours/week), exact dates can be discussed

Hiring Manager: Sai Mali Ananthanarayanan, Ph.D.

Company Overview 

Teragonia, a leader in tech-enabled value creation solutions, is on a mission to create an ecosystem of connected data and actionable intelligence that solves strategic business challenges with purposeful innovation that is secure, quick, and scalable. The company translates value creation strategies into analytics and AI assets that operationalize business insights, leading to higher multiples of invested capital for company founders, investors, and private equity firms.  

Teragonia's Decision Intelligence Solution contains three pillars including Business Operations Solutions, the Astradis co-developable analytics and AI platform, and Customer Success for analytics operationalization throughout an enterprise. Together, they empower Teragonia’s clients with data-driven business intelligence recommendations that drive decision making through a robust AI-driven technology. 

Our AI and analytics solutions are designed to augment returns during private equity investment lifecycles and span i) Infrastructure Enhancement, ii) Business Growth and Profitability Diagnostics, iii) Value Creation, and iv) Exit Prep. In each of the core solutions we leverage cutting edge tools and technology such as SQL, Python, Tableau, Power BI, Dataiku, DBT, and more to translate technical challenges into business value for our clients. We deliver value to clients across three teams: i) Value Creation & Analytics, ii) Data Science & AI, and iii) Software Engineering.  

Teragonia offers a comprehensive career development platform through cross-learning within our multidisciplinary structure. We nurture a diverse, inclusive, collaborative, respectful, and collegial environment. Our competitive compensation package aligns with the technology industry leaders, encompassing 401k contribution matching, medical insurance, and additional benefits.  

Department Description 

This position is within our Data Science & Artificial Intelligence (DS&AI) team which delivers solutions at the intersection of management consulting, data science and advanced technology, to drive enterprise value creation for private equity backed companies. This position offers a unique opportunity to engage in high-impact projects across diverse industries in the middle-market, combining Teragonia’s deep experience in Private Equity value creation, and expertise in analytics engineering and AI.  

Job Summary 

We are looking for a motivated intern to join our Data Science & AI team as an AI/ML Engineering intern. You will play a crucial role in researching, developing, and implementing cutting-edge Artificial Intelligence (AI) capabilities within the Decision Intelligence Solution we have been developing. You will collaborate with Teragonia’s multidisciplinary team of AI/ML engineers, data scientists, management consultants, analytics engineers, data engineers, software engineers, and UI/UX experts to design, develop and scale the AI capabilities within the solution that helps (i) the business users of the solution to interact with enterprise data models as well as the machine learning and optimization models within the solution, in natural language and (ii) technical users (analytics engineers and data engineers) to efficiently develop robust and scalable enterprise data models by automating challenging problems for our customers in the middle market such as database schema matching and exploratory data analysis . You will have the opportunity and the executive support to create innovative products and services that leverage the power of AI for our clients. You will also have the opportunity to perform industrial research and build bespoke AI solutions for our clients. 

Responsibilities 

• [Core Development] Develop and implement AI models and algorithms under the guidance of senior engineers as part of Teragonia's product development 
• [Team Collaboration] Collaborate with cross-functional teams including software engineers, data scientists, and value creation analytics engineers to build and improve AI/ML components within our Decision Intelligence Solution
• [Cloud Engineering] Utilize knowledge of cloud platforms and services to implement and optimize machine learning and AI algorithms for efficient and scalable deployment 
• [Data Preparation] Assist in the collection, cleaning, preprocessing of data to ensure high-quality inputs for AI solution development process, enabling accurate and reliable outputs. 
• [LLM Development] Work across the lifecycle from ideation to production to deployment of domain specific and fit-for-purpose open-source or API-based Large Language Models (LLMs) 
• [Model Tuning] Help implement and fine-tune LLMs (Large Language Models) for specific use cases within our solution
• [Model Performance] Monitor and report on AI model performance, suggesting and implementing improvements based on metrics and user feedback 
• [Ethical AI] Learn and apply ethical AI practices, ensuring compliance with industry standards and regulations while addressing potential biases in AI systems. 
• [Product Integration] Understand Teragonia's Decision Intelligence solution offering and assist in ideating and developing AI applications and features that can integrate with current processes and enhance value to customers. 
• [Technical Growth] Stay up to date with industry trends and best practices in AI, experimenting with new approaches to improve existing systems and develop cutting-edge solutions. 
• [Team Learning] Participate in team discussions and knowledge sharing sessions to grow technical expertise and contribute to team innovation 
• [Mentorship & Learning] Receive structured mentorship from senior engineers and data scientists, gaining hands-on experience in AI/ML development while being guided through best practices and industry standards. 

Requirements

Necessary Qualifications 

• Be located and eligible to work in the United States 
• Work out of our Chicago office (Fulton Market)
• Currently pursuing a Bachelor’s or Master's degree in Machine Learning, Data Science, AI, Computer Science, Computer Engineering, Electrical Engineering, or a closely related field. 
• Graduate-level coursework or work experience in areas like NLP, design/engineering of large scale systems, advanced ML
• Strong interest in learning how AI solutions drive business value   
• Proficiency in Python or R, vector databases, PyTorch/Tensorflow/JAX, industry-standard NLP toolkits and AI platforms (such as LangChain and HuggingFace) with an eagerness to learn new tools and platforms quickly
• Excellent communication and interpersonal skills 
  

Preferred Qualifications 

• 0-2 years of experience in AI/ML engineering role, in training, evaluating, and deploying scalable AI/ML models in production environments 
• Experience in running ML/AI models in distributed clusters, GPU optimization, and parallel environments 
• Experience in data science or ML engineering role
• Experience in projects or building products that materially use and deploy language models or generative AI 
• Experience in designing, developing and deploying conversational AI solutions 
• Experience in GCP and Snowflake 
• Experience in financial services 

Benefits

Flexible Work Policy 

We expect your presence in the office based on business or team needs or team-building activities that are most productive in person. We do not impose specific days for in-office attendance. 

Diversity, Equity, and Inclusion Statement 

Teragonia strives for diversity and inclusion in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications of the individual and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy or other medical conditions/needs), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any legally protected characteristic not otherwise covered here. We encourage all to apply.