The Opportunity

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.

Join our team as the expert you are now and create your future.

Position Summary

We are looking for an experienced AI Engineer to join our forward-thinking Emerging Technology Practice. In this role, you will play a vital part in developing, training, and deploying a range of machine learning models, including traditional statistical models, deep learning, and cutting-edge large language models (LLMs). You will also fine-tune pre-trained models through transfer learning and develop robust MLOps pipelines to ensure seamless integration and operation of AI solutions.

You will be responsible for driving the AI/ML strategy and working closely with engineers and business stakeholders to deliver scalable, high-performance solutions. Your role will extend from data preprocessing and feature engineering through to model development, optimization, deployment, and monitoring. You will also collaborate with cross-functional teams to integrate AI models into production environments and continuously improve model performance.

This position offers an opportunity to work on groundbreaking AI/ML projects that impact industries like healthcare, higher education, and finance. If you’re passionate about AI and ML, thrive in a collaborative environment, and want to make a tangible impact through technology, this is the perfect role for you.

Qualifications

Key Responsibilities

• Develop and train traditional statistical ML models and deep learning models to address real-world problems in healthcare, education, and other sectors.

• Fine-tune large language models (LLMs) using transfer learning techniques to optimize performance for specific tasks.

• Design, implement, and maintain MLOps pipelines to streamline the lifecycle of ML models, from development through to deployment and monitoring in production.

• Conduct data preprocessing, feature extraction, and data augmentation to ensure the quality of training datasets.

• Deploy models into production environments, ensuring seamless integration with existing systems.

• Optimize model performance by experimenting with hyperparameters, architectures, and model updates to meet performance benchmarks.

• Develop scalable APIs and services for model serving and inference in production.

• Establish monitoring systems to track the performance, accuracy, and data drift of deployed models.

• Collaborate with cross-functional teams to integrate AI/ML solutions into broader technology stacks.

• Stay updated on the latest advancements in machine learning, natural language processing, and MLOps best practices.

Candidate Profile

You are a highly technical AI Engineer with experience in developing, training, and deploying a wide variety of machine learning models. You possess strong knowledge in statistical models, transfer learning, and hands-on experience with MLOps to automate and optimize the AI development lifecycle.

Key Qualifications

• Minimum of 7 years' experience working with machine learning models, including both traditional statistical methods and deep learning techniques.

• Proven experience in training and fine-tuning large language models (LLMs) and implementing transfer learning strategies.

• Expertise in developing and deploying AI models using Python and frameworks such as TensorFlow, PyTorch, scikit-learn, or similar.

• Strong understanding of MLOps principles, with experience in building automated pipelines for model training, deployment, and monitoring.

• Familiarity with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or Google AI/ML services.

• Knowledge of data preprocessing techniques, feature engineering, and model evaluation metrics.

• Experience with version control (Git), containerization (Docker), and CI/CD tools for model deployment.

• Ability to write and deploy scalable APIs and model serving frameworks.

• Strong communication skills, with the ability to work effectively in a collaborative team environment.

• Cloud certifications in AI/ML services (Azure, AWS, or Google Cloud) are a plus.

• Bachelor's degree in computer science, engineering, or a related field, with a focus on AI or machine learning.

• Authorized to work in the US or Canada (No sponsorship required)

The estimated base salary for this job is $165,000 - $185,000. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron’s annual incentive compensation program, which reflects Huron’s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $189,750 - $231,250. The job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.

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Posting Category

Generalist

Opportunity Type

Regular

Country

United States of America

At Huron, we’re redefining what a consulting organization can be. We go beyond advice to deliver results that last. We inherit our client’s challenges as if they were our own. We help them transform for the future. We advocate. We make a difference. And we intelligently, passionately, relentlessly do great work…together.

Are you the kind of person who stands ready to jump in, roll up your sleeves and transform ideas into action? Then come discover Huron.

Whether you have years of experience or come right out of college, we invite you to explore our many opportunities. Find out how you can use your talents and develop your skills to make an impact immediately. Learn about how our culture and values provide you with the kind of environment that invites new ideas and innovation. Come see how we collaborate with each other in a culture of learning, coaching, diversity and inclusion. And hear about our unwavering commitment to make a difference in partnership with our clients, shareholders, communities and colleagues.

Huron Consulting Group offers a competitive compensation and benefits package including medical, dental, and vision coverage to employees and dependents; a 401(k) plan with a generous employer match; an employee stock purchase plan; a generous Paid Time Off policy; and paid parental leave and adoption assistance. Our Wellness Program supports employee total well-being by providing free annual health screenings and coaching, bank at work, and on-site workshops, as well as ongoing programs recognizing major events in the lives of our employees throughout the year. All benefits and programs are subject to applicable eligibility requirements.

Huron is fully committed to providing equal employment opportunity to job applicants and employees in recruitment, hiring, employment, compensation, benefits, promotions, transfers, training, and all other terms and conditions of employment. Huron will not discriminate on the basis of age, race, color, gender, marital status, sexual orientation, gender identity, pregnancy, national origin, religion, veteran status, physical or mental disability, genetic information, creed, citizenship or any other status protected by laws or regulations in the locations where we do business. We endeavor to maintain a drug-free workplace.