AI/ML Engineer

Job Title and Department 

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

Location: Chicago (we will cover eligible relocation expenses)  

Base Salary: $120,000 - $150,000, variable based on matching preferred qualifications

Other compensation: Performance bonus, LTIP and various other benefits 

Hiring Manager: Sai Mali Ananthanarayanan, Ph.D.

Company Overview 

Teragonia develops Analytics Engineering and AI solutions for private equity portfolio companies and founder-owned businesses, supported by a team of technologists, data scientists, and business experts with first-hand private equity experience as investors, operators, and M&A advisors. We create bespoke ‘data-to-dollars’ value creation playbooks using Decision Intelligence Systems (DIS) that deliver real-time, system-level insights to enhance EBITDA. We supplement the DIS with advisory services to help business leaders operationalize analytics-driven strategies and work closely with deal teams, operating partners, and management to embed analytics in strategic planning and tactical monitoring for timely course corrections. 

Our “Data-to-Dollars” playbooks and 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 talented AI/Ml engineer to join our team as AI/ML Engineer. You will play a crucial role in researching, developing, and implementing cutting-edge Artificial Intelligence (AI) capabilities within the Decision Intelligence Platform we have been developing. You will collaborate with Teragonia’s multidisciplinary team of data scientists, management consultants, analytics engineers, data engineers, software engineers, and UI/UX experts to design, develop and scale the AI capabilities within the platform that helps (i) the business users of the platform to interact with enterprise data models as well as the machine learning and optimization models within the platform, 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. 

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 Platform
• [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 platform
• [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 Platform 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

Necessary Qualifications 

• Be located and eligible to work in the United States 
• Be located in or willing to relocate to the Chicago metropolitan area 
• Master's degree in Machine Learning, Data Science, AI, Computer Science, Computer Engineering, Electrical Engineering, or a closely related field 
• Coursework or work experience in areas like NLP, design/engineering of large scale systems, advanced ML
• 0-4 years of experience in AI/ML engineering role, in training, evaluating, and deploying scalable AI/ML models in production environments
• Proficiency in Python or R, vector databases, PyTorch/Tensorflow/JAX, industry-standard NLP toolkits and AI platforms (such as LangChain and HuggingFace) 
• Excellent communication and interpersonal skills 
  

Preferred Qualifications 

• Proficiency in Python or R, vector databases, PyTorch/Tensorflow/JAX, industry-standard NLP toolkits and AI platforms (such as LangChain and HuggingFace) 
• 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 product development in ML or AI
• Experience in designing, developing and deploying conversational AI solutions 
• Experience in GCP and Snowflake 
• Experience in financial services