We are Farmers!

We are… more than just your favorite commercials.  At Farmers, we strive to deliver peace of mind to our customers by providing protection and comprehensive advice and delivering in the moments of truth. That means having people who can help us meet changing customer and business needs. Farmers high-performance culture is focused on results and the people who achieve them. We hold ourselves and others accountable for sustainably growing the business and each other. We seek solutions, own our actions, and grow through discomfort. We see setbacks as opportunities while continuously asking ourselves how we impact our customers. 

 

Farmers is an award winning, equal opportunity employer, committed to the strength of a diverse workforce. We are dedicated to supporting the well-being of our people through our extensive suite of benefits, as well as the well-being of the communities we serve through employee volunteer programs and nonprofit partnerships. Helping others in their time of need isn’t just our business – it’s our culture!  To learn more about our high-performance culture and open opportunities, check out www.Farmers.com/careers/corporate and be sure to follow us on Instagram, LinkedIn, and TikTok. 

 

Workplace:  Hybrid ( #LI-Hybrid ), Remote ( #LI-Remote )

Farmers believes in a culture of collaboration, creativity, and innovation, which thrives when we have the ability to work flexibly in a virtual setting as well as the opportunity to be together in person. Our hybrid work environment combines the best of both worlds with at least three (3) days in office and up to two (2) days virtual for employees who live within fifty (50) miles of a Farmers corporate office. Applicants beyond fifty (50) miles may still be considered.

Job Summary Primary focus on enabling capabilities to support development, deployment, monitoring, and updates of advanced ML models. Lead the MLOps platform, ensuring scalable, reliable, and efficient model workflows in production. Build sustainable MLOps pipelines to optimize model performance across the organization. Collaborate with stakeholders to align MLOps strategies with business goals and support diverse users with various tools and frameworks. Act as a technical leader by guiding best practices, mentoring team members, and working cross-functionally with data science, software engineering, and product teams. Apply expert machine learning engineering knowledge in a business environment. Focus on productionizing ML models and systems at scale while working independently. Serve as a technical lead, mentoring team members at all levels. What You'll Do Delivers specific ML Ops engineering tasks such as expert level designing, developing, implementing, optimizing, and maintaining models, systems, and applications using existing and emerging technology platforms. Develop and integrate CI/CD workflows for ML systems. Automate and streamline the deployment of models to production environments, ensuring minimal downtime and robust versioning. Implement advanced monitoring tools for tracking of model and system performance. Collaborates with cross-functional architecture teams to define and integrate detailed frameworks and roadmaps, including project scoping and measurement metrics, for machine learning solutions. Projects are generally of advanced complexity. Provides subject matter expertise and is regularly consulted for direction and guidance. Leads the design, development, and implementation of DevOps and ML Ops pipelines. Leads deployment processes with minimal oversight. Implements robust security, compliance, and governance frameworks for ML models. Ensures traceability and reproducibility of machine learning workflows. Reviews, verifies, validates, and troubleshoots code to ensure high availability and high performance of machine learning models and applications. Uses expert knowledge and understanding of code management principles and best practices to follow architectural and governance guidelines. Conducts root-cause analysis of performance issues. Analyzes cost-performance trade-offs to ensure optimal resource allocation. Effectively communicates and applies machine learning engineering value, concepts, and strategies across multiple scenarios. Interfaces with business leaders and stakeholders across management levels. Presents material to executives, addressing issues independently. What You'll Bring 7-10 years of related experience required.  In software engineering, data science, or machine learning roles, with at least 4 years focused on MLOps, preferred.  Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), preferred.  Proficiency with cloud platforms (e.g., AWS, GCP, Azure) and containerization tools (e.g., Docker, Kubernetes), preferred.  Strong experience with CI/CD tools (e.g., Jenkins, GitHub Actions, ArgoCD), preferred.  In-depth understanding of data pipelines, distributed computing, and model serving technologies (e.g., MLflow, Kubeflow, Seldon, SageMaker), preferred.  Experience with various forms of model deployments (e.g. APIs, containers, ecosystem self-contained), preferred.  Experience with various key MLOps capabilities - Data versioning, Feature Store, Model Monitoring, Experiment Tracking, Model Versioning, preferred.  Strong experience of delivering MLOps models at enterprise scale, preferred.  Advanced programming skills in Python and experience with other languages like Java, Scala, or Go, preferred.  Strong knowledge of database systems (SQL and NoSQL) and big data frameworks (Spark, Hadoop), preferred.  Experience working in Agile or Scrum environments, preferred. Expertise in time-series modeling, NLP, or computer vision is a plus. Proven experience with feature stores and automated data labeling tools, preferred.  Familiarity with governance frameworks for responsible AI, preferred.  Advanced certifications in cloud computing, machine learning, or DevOps (e.g., AWS Certified Machine Learning Specialist), preferred.  Education Requirements Bachelors degree required. Additional Qualifications Demonstrated analytical skills. Demonstrated problem solving skills. Possesses strong technical aptitude. Experience with designing and building scalable enterprise ML Ops frameworks and pipelines including integration, testing, deployment, monitoring, infrastructure management, audit and governance. Advanced understanding and practical application of workflow orchestration processes and technologies. Ability to simultaneously handle multiple priorities. Seeks to acquire knowledge in area of specialty. Ability to influence internal and/or external constituents. Ability to inspire and develop staff. Leadership and mentoring in a technical capacity. Strong problem-solving and debugging skills. Excellent communication and collaboration skills. Deep understanding of ML lifecycle, from experimentation to production. Physical Actions

This role, whether performed virtually or in an office setting, will include normal and customary distractions, noise, and interruptions. Sits or stands for extended periods of time, up to a full work shift. Occasionally reaches overhead and below the knees, including bending, twisting, pulling, and stooping. Occasionally moves, lifts, carries, and places objects and supplies weighing 0-10 pounds without assistance. Listens to, interprets, and differentiates auditory information (example others speaking) at normal speaking levels with or without correction. Visually verifies and reads information. Visually locates material, resources and other objects. Ability to continuously operate a computer for extended periods of time, up to a full work shift. Physical dexterity sufficient to use hands, arms, and shoulders repetitively to operate keyboard and other office equipment up to a full work shift.

Special Skill Requirement

Benefits

Farmers offers a competitive salary commensurate with experience, qualifications and location.
o CA Only: $152,880 - $243,540
o CO Only: $143,360 - $210,210 
o  HI/IL/MN/VT Only: $143,360 - $224,840
o MA Only: $143,360 - $224,840  o MD Only: $143,360 - $224,840
o NY/DC/Jersey City Only: $143,360 - $243,540 
         o Albany County: $152,880 - $210,210 
o WA Only:  $143,360 - $255,500  Bonus Opportunity (based on Company and Individual Performance) 401(k) Medical Dental Vision Health Savings and Flexible Spending Accounts Life Insurance Paid Time Off Paid Parental Leave Tuition Assistance For more information, review “What we offer” on https://www.farmers.com/careers/corporate/#offer

 

Job Location(s): R_US - United States

 

Anticipated application deadline: At Farmers, the recruitment process is designed to ensure that we find the best talent to join our team. As part of this process, we typically close open positions within 8 to 21 days after posting. If you are interested in any of our open positions, we encourage you to submit your application promptly.

 

Farmers will consider for employment all qualified applicants, including those with criminal histories, in accordance with the Los Angeles Fair Chance Initiative for Hiring Ordinance or other applicable law.  Pursuant to 18 U.S.C. Section 1033, Farmers is prohibited from employing any individual who has been convicted of any criminal felony involving dishonesty or a breach of trust without prior written consent from the state Department of Insurance.

 

Farmers is an Equal Opportunity Employer and does not discriminate in any employer/employee relations based on race, color, religion, gender, sexual orientation, gender expression, genetic information, national origin, age, disability, marital status, military and veteran's status, or any other basis protected by applicable discrimination laws. 

 

Want to learn more about our culture & opportunities? Check out www.Farmers.com/careers/corporate and be sure to follow us on Instagram, LinkedIn, and TikTok.