Sr Machine Learning Engineer Sr Machine Learning Engineer

Sr Machine Learning Engineer The Hartford 4.5 ( ) Columbus, OH for later Why you should apply for a job to The Hartford : Ranked as one of the 4.5/5 in overall job satisfaction 4.5/5 in supportive management 76% say women are treated fairly and equally to men 87% would recommend this company to other women 90% say the CEO supports gender diversity Ratings are based on anonymous reviews by Fairygodboss members. See all reviews The Professional Women's Network (PWN) provides professional support, growth, advancement and networking to enable greater gender balance. The Hartford offers diversity awareness training known as Appreciating Differences and Managing Inclusion. Employees will be provided with leave of up to four weeks and paid at a rate of 100 percent of their base pay. # R2522785_Columbus Position summary al intelligence/machine learning solutions, not models. We support end-to-end business problems with a focus on systems design. We are trusted and transparent, collaborating closely with our partners and considering their capacity for change. Our products are delivered with full monitoring solutions to ensure they continue to perform as expected. We listen carefully to our customers and become partners in problem-solving with humble confidence. We deliver minimally viable products first and expand their sophistication over time based on feedback. This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). RESPONSIBILITIES Research, experiment with, and implement suitable frameworks, tools, and technologies to enable AI/ML decision-making at scale. Participate in identifying and assessing opportunities, such as the value of new data sources and analytical techniques, to ensure ongoing competitive advantage. Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations. Accountable for the ownership of design, development, and maintenance of MLOps and GenAI platforms and services. Work with junior engineers and peers to provide mentorship and thought leadership. Collaborate with partners Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams. Delivery of critical milestones for model deployment in the Google Cloud Platform (GCP) and AWS cloud. Develop, adopt, and promote MLOps best practices to the Data Science community. Implement infrastructure-as-code using Terraform or CloudFormation to automate deployments. Contribute to the development of agentic AI capabilities and support experimentation with LLMs and GenAI frameworks. Requirements: Must be authorized to work in the U.S. now and in the future. Bachelor's degree in related field and 5+ years of experience. Solid understanding of ML lifecycle: model training, deployment, monitoring, and feedback loops. Strong application development experience using Python. 3+ years of hands-on experience developing with one of the public clouds including tools and techniques to auto scale systems. Experience with CI/CD and IAC tools (e.g., terraform, Jenkins, GitHub Actions) and containerization (Docker, Kubernetes). Good understanding of Generative AI technologies, frameworks, key LLMs, and architecture patterns. Exposure to agentic AI architectures and prompt engineering. Good understanding and experience building orchestration framework for real-time and batch model services. Good understanding of various model development algorithms and types of ML use cases e.g., regression, classification, etc. Strong fundamental knowledge of data structures and algorithms Preferred Skills: Development experience for WebService API with AWS suite of Tools. Familiarity with big data technologies (i.e., Hadoop, Spark, Hive, etc.) and RDBMS. Hands-on experience with public cloud GCP, especially Vertex AI, Cloud Run, BigQuery, and GKE. Basic understanding of ML frameworks i.e., Tensorflow, Scikit Learn, etc. Experience with Agile framework and scrum/Kanban based project management. Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $117,200 - $175,800 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age | | | Why you should apply for a job to The Hartford : Ranked as one of the 4.5/5 in overall job satisfaction 4.5/5 in supportive management 76% say women are treated fairly and equally to men 87% would recommend this company to other women 90% say the CEO supports gender diversity Ratings are based on anonymous reviews by Fairygodboss members. See all reviews The Professional Women's Network (PWN) provides professional support, growth, advancement and networking to enable greater gender balance. The Hartford offers diversity awareness training known as Appreciating Differences and Managing Inclusion. Employees will be provided with leave of up to four weeks and paid at a rate of 100 percent of their base pay.