[Remote] Director, AI/ML Transformation

🌍 Remote, USA 🚀 Full-time 🕐 Posted Recently

Job Description

Note: The job is a remote job and is open to candidates in USA. Unum is a Fortune 500 company and leading provider of employee benefits, headquartered in Chattanooga, TN. They are seeking a Director of AI/ML Transformation to lead the strategic direction for AI/ML initiatives, design advanced models, and operationalize AI solutions while ensuring responsible AI practices and fostering team development.

Lead AI/ML Strategy and Roadmap – Define and oversee the strategic direction for AI/ML transformation initiatives, aligning model development and deployment with overall business goals
Design and Develop Advanced Models – Architect, train, and validate machine learning and generative AI models (including supervised, unsupervised, and reinforcement learning approaches) to solve complex business problems
Implement and Operationalize AI Solutions – Translate model outputs into production-ready digital products, ensuring scalability, robustness, and integration with existing enterprise systems
Model Governance and Risk Management – Establish and enforce responsible AI practices including explainability, fairness, bias detection, security, and regulatory compliance throughout the AI lifecycle
Cross-Functional Collaboration – Partner with product managers, engineers, data scientists, and business leaders to identify high-value use cases and drive adoption of AI/ML capabilities
Performance Monitoring and Continuous Improvement – Implement monitoring frameworks to track accuracy, drift, and performance of deployed models, ensuring timely retraining and updates
Team Leadership and Talent Development – Mentor and guide data science and engineering teams, fostering a culture of innovation, experimentation, and best practices in AI/ML
Stakeholder Communication – Present technical concepts and business impact of AI/ML initiatives to executive leadership, external partners, and non-technical audiences in a clear and compelling way
Innovation and Research – Stay current on emerging AI/ML methodologies, tools, and industry trends; pilot new technologies such as large language models and generative AI to maintain a competitive edge

Bachelor's degree in AI/ML, Data Science or related analytical field plus 5 years of related experience
Master's degree in AI/ML, Data Science or related analytical field plus 3 years of related experience
5 years of experience with a Bachelor's degree, or 3 years with a Master's degree, with the following: Statistics, calculus, and algorithm-based mathematics; building generalized linear models, and processing/analyzing time series data
Coding abilities with an emphasis on Python and understanding many ML/AI based Python libraries, including Scikit-Learn, NumPy, pandas, and OpenCV
Deep-learning (neural network) model building, training, and deployment, with PyTorch or Tensorflow
Other forms of supervised learning, unsupervised learning, and optimization algorithms
Experience with building gradient boosted tree models (LightGBM or XGBoost)
DevOps and the ownership of a model's lifecycle, including experimentation, deployment, monitoring of feature drift and inference performance, model evaluation, and model iteration
Feature engineering for model performance improvement and data leakage prevention
Working with healthcare-related claims data
Version control of code, with a git-based code version control and repository system
4 years of experience with a Bachelor's degree, or 2 years of experience with a Master's degree, with the following: AI/ML cloud platforms (Amazon Web Services, Google Cloud Platform, or Microsoft Azure) and leveraging one or more of these platforms to deploy AI solutions
Optical Character Recognition (OCR) in Python
Experience with document processing, handwriting recognition, and document classification
Querying relational databases (SQL) and non-relational databases (MongoDB) from a Python environment
2 years of experience with a Bachelor's degree, or any amount of experience with a Master's degree with the following: Generative AI/large language model applications
Must be able to run off-the-shelf open-source LLMs and call commercial LLM APIs in a Python environment
Fine-tuning LLMs/VLMs using PEFT (LoRA/QLoRA), plus quantization (4/8-bit, AWQ/GPTQ) for efficient, scalable inference
Experience with data prep, evaluation, and deployment (Hugging Face or vLLM)

Health, Vision, Dental
Short & Long-Term Disability
Generous PTO (including paid time to volunteer!)
Up to 9.5% 401(k) employer contribution
Mental health support
Career advancement opportunities
Student loan repayment options
Tuition reimbursement
Flexible work environments
Performance-based incentive plans

Since our founding in 1848, Unum has been a leader in the employee benefits business through innovation, integrity and an unwavering commitment to our customers. It was founded in 1848, and is headquartered in Chattanooga, Tennessee, USA, with a workforce of 10001+ employees. Its website is http://www.unum.com.

Unum has a track record of offering H1B sponsorships, with 27 in 2025, 23 in 2024, 26 in 2023, 19 in 2022, 18 in 2021, 7 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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