Share this job SVGs not supported by this browser. Description Company Overview Teragonia (teragonia.ai) is a fast-growing analytics and AI technology firm that equips mid-market companies with plug-and-play enterprise intelligence through our proprietary Astradis Operating System, a modular AI platform built to drive value creation across finance, operations, and revenue functions. Rooted in deep private equity experience and over $400B in M&A-backed insights, Teragonia helps CXOs and portfolio teams move faster, make better decisions, and deliver measurable performance improvements. Astradis provides real-time intelligence through a function-specific command center, combining structured and unstructured data via our Fibron AI layer. Our analytics engine powers diagnostic dashboards, forecasting models, pricing tools, and operations modules, enabling clients to transition from reactive reporting to predictive strategy. 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 seeking a highly motivated entry level AI/ML Engineers to join our team. 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 AI capabilities within the platform. This role focuses on helping business users interact with enterprise data models and machine learning optimization models in natural language, while enabling technical users to efficiently develop robust and scalable enterprise data models by automating challenging problems such as database schema matching and exploratory data analysis. Key Responsibilities Core Development : Independently develop and implement AI models and algorithms; mentor junior team members in AI solution development for Teragonia's product. Team Collaboration : Collaborate with cross-functional teams, including software engineers, data scientists, and analytics engineers, to enhance AI/ML components in the Decision Intelligence Platform. Cloud Engineering : Design and implement cloud-based machine learning solutions using GCP and other platforms for efficient and scalable deployment. Data Preparation : Lead data collection, cleaning, and preprocessing efforts to ensure high-quality inputs for AI solution development, enabling accurate outputs. LLM Development : Own parts of the lifecycle from ideation to production and deployment of domain-specific and fit-for-purpose open-source or API-based Large Language Models (LLMs). Model Tuning : Implement and fine-tune LLMs for specific use cases, focusing on parameter optimization and prompt engineering. Model Performance : Design monitoring systems for AI model performance; analyze metrics and implement improvements based on user feedback. Ethical AI : Advocate for ethical AI practices, ensuring compliance with industry standards and addressing potential biases in AI systems. Product Integration : Understand Teragonia's Decision Intelligence Platform and develop AI applications and features that enhance customer value. Technical Growth : Stay updated with industry trends and best practices in AI; experiment with new approaches to improve systems and develop innovative solutions. Team Learning : Lead and participate in discussions and knowledge-sharing sessions to enhance technical expertise and contribute to team innovation. Requirements Necessary Qualifications Educational Background : Bachelor's or Master's degree in Machine Learning, Data Science, AI, Computer Science, or a closely related field. Experience : 0-2 years of experience in AI/ML engineering roles. Experience in training, evaluating, and deploying models in production environments. Technical Skills : Strong proficiency in Python and software engineering best practices. Other Attributes: Strong problem-solving skills and attention to detail Excellent communication skills, both written and verbal Ability to translate technical concepts for non-technical stakeholders Self-motivated with strong project management capabilities Preferred Qualifications Technical Expertise: Expertise with vector databases and embedding models. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow, or JAX). Proficiency with standard NLP toolkits and libraries (e.g., HuggingFace, spaCy). Working knowledge of LangChain, LlamaIndex, or other LLM-centric frameworks. Experience implementing and fine-tuning Large Language Models (LLMs) Strong understanding of data processing pipelines and ETL processes Experience with GPU optimization, parallel processing, or running models on distributed clusters Background in designing and deploying chatbots or conversational AI interfaces Prior work in generative AI (e.g., custom LLM solutions, text-to-image models) Experience with the end-to-end AI product development lifecycle Knowledge of Snowflake data warehousing and advanced GCP services (BigQuery, AI Platform) Domain Knowledge: Familiarity with financial services or other data-sensitive industries Experience working with regulated data Understanding of decision intelligence solutions and analytics tools Prior experience in consulting or professional services environments Optional Certifications: Industry certifications such as Google Professional Machine Learning Engineer or AWS Certified Machine Learning – Specialty Training or certification in AI ethics or responsible AI practices Other We value candidates from AI-focused startups, research labs, or large tech firms, especially those working on LLMs or generative AI Experience with cross-functional collaboration across data science, software engineering, and product management teams is highly desirable for a collaborative environment. Benefits Competitive Total Compensation - We constantly benchmark our pay scales against the market to maintain competitiveness. Restricted Stock Awards - We offer restricted stock awards to select positions to ensure our teams’ long-term commitment and hard work are rewarded by sharing our collective success. 401k Plan with Employer Contributions - We help secure your future with matching of 401k contributions up to 6% of your annual base salary. Professional Development Opportunities - We will sponsor company-selected training sessions, conferences, and certifications to foster your growth. Meal Reimbursement - Reimbursement for lunch at the office, and dinner too if you are working past 7 pm, up to a limit. Gym Membership - Reimbursement for fitness & wellness programs, such as gym memberships, up to a limit. Commuter Benefits - We offer the opportunity to leverage the available tax concessions for commuting expenses. Relocation Assistance - Available to those who move to the Chicago, Dallas, New York City metropolitan area as required by their job role. Paid Time Off (PTO) - You will be eligible for 15 to 20 days PTO, depending on level, accrued according to company policies. Annual Quiet Week - From Dec 24 to Jan 2, we anticipate a quiet week. During this period, all employees may work remotely, and we put in our best effort to keep workload as light as possible in light of balancing business needs. Firm Holidays - 12 firm-designated holidays annually, in addition to the eligible PTO. Comprehensive Healthcare, Vision, and Dental Insurance - We prioritize your health and wellness with insurance coverage through leading national providers. Gynecology, fertility, and family-building benefits through leading providers. Paid Parental Leave of 12 weeks after 6 months of service with the company. Flexible Spending Account (FSA) / Health Savings Account (HSA) Plan - We provide the opportunity to manage your healthcare expenses efficiently through FSA/HSA plans. Mental Health Support - Enroll in our healthcare plan and gain access to mental health support through Talkspace. HealthAdvocate - Expert assistance to help you navigate the complexities of the healthcare system. Disability Insurance - We sponsor short term disability insurance through a leading national provider. Sick Days - We adhere to applicable state regulations, ensuring you have time to recover when you are not feeling well. Apply for this job