DescriptionSprout Social empowers businesses worldwide to harness the immense power and opportunity of social media in today’s digital-first world. Processing over one billion social messages daily, our platform serves up essential insights and actionable information to over 30,000 brands, informing strategic decisions that drive business growth and innovation, and fostering deeper, authentic connections to their end customers. Our full suite of social media management solutions includes comprehensive publishing and engagement functionality, customer care solutions, influencer marketing, connected workflows, and business intelligence. We're actively weaving AI throughout our products to drive our business’s growth trajectory. What you’ll do - Build and maintain infrastructure using AWS, Terraform, and Kubernetes to support AI/ML at scale, including Generative AI applications. - Manage the end-to-end lifecycle of machine learning models, ensuring observability and tooling support both scale and speed. - Execute at scale while staying nimble enough to keep up with new capabilities being offered by social network APIs. - Improve processes and champion ideas that matter while holding the team accountable to high code quality and engineering standards. - Support our AI/ML Scientists by developing tooling to streamline model development and deployment. What you’ll bringWe’re looking for a creative, collaborative, pragmatic, highly motivated, and impact oriented technical leader to join our team in building great software. If you can solve hard problems, deliver quality server-side software, and confidently guide your peers to learn from and teach each other, we’d love to talk with you! The minimum qualifications for this role include: - 5+ years of experience developing and supporting AI/ML software in a production environment. - 5+ years of experience programming in object-oriented languages such as Java, Python, or C++. - Impact-oriented mindset with an interest in stability at scale and a willingness to engage in feature development. Preferred qualifications for this role include experience: - 3+ years of experience developing and supporting scalable, distributed backend services. - 3+ years of experience building and supporting GPU-heavy services. - 1+ years of experience with LLMs / Generative AI, including managing their unique costs, constraints, and observability challenges. - 1+ years of experience with Infrastructure-as-Code (Terraform) and container orchestration (Kubernetes) within AWS environments. How you’ll growWithin 1 month, you’ll plant your roots, including: - Complete Sprout’s New Hire training program alongside other new Sprout team members. - Get acclimated to the team's current Mission, Goals, and Objectives along with future product roadmaps. - Become familiar with the team’s existing deployment patterns and the ML Ops tooling ecosystem. Within 3 months, you’ll start hitting your stride by: - Decomposing work into small, similarly sized units and working with your squad to prioritize quarterly team goals. - Setting up initial software for model deployment and monitoring of ML models. Partnering with the Infrastructure team to deploy an existing ML model in Kubernetes. Acting as the domain owner for new projects and writing necessary design documents. Within 6 months, you’ll be making a clear impact through: - Rolling out monitoring and alerting tools to identify problems before they affect users. - Helping deploy new ML models processing hundreds of millions of messages a day. - Identifying technical debt and performance bottlenecks, and executing plans to improve the code. - Collaborating effectively across the organization to ensure big-picture alignment. Within 12 months, you’ll make this role your own by: - Becoming the go-to expert of ML Ops at Sprout. - Developing repeatable deployment patterns for data scientists to train, deploy, and evaluate batch, REST, and event-based ML services. - Owning cross-organizational projects and mentoring junior engineers to help them level up technically. - Surprising us! Use your unique ideas and abilities to change your team in beneficial ways. Our Benefits Program We’re proud to regularly be recognized for our team, product, and culture. We invest in our team with a comprehensive, competitive benefits program: - 100% Employer-Paid Health Benefits: We cover 100% of the premiums for you and your eligible dependents, including comprehensive medical, dental (basic & major), vision, life insurance, and disability. - Generous Paid Time Off: 25 days of vacation annually, plus 5 paid sick days, all public holidays, and additional company-wide Rest & Recharge days. - Premium Mental Health Support: Full, free access to Modern Health for you and your dependents, including coaching, therapy sessions, and digital wellness resources. - Annual Lifestyle Stipend: A $950 CAD annual Lifestyle Spending Account to spend on your physical, mental, and financial well-being. - Remote Work Support: A one-time $550 USD (equivalent) stipend to set up your home office, plus a monthly $50 USD (equivalent) stipend for internet. - Personalized Financial Wellness: No-cost, confidential access to financial experts through Your Money Line to support your personal financial goals. - Family & Care Support: Access to subsidized child and eldercare options through Care.com. - Charitable Giving: A company match for your donations to eligible organizations. *This list is for informational purposes only. Benefit offerings are discretionary and subject to change and do not constitute a contract or guarantee of benefits. Individual base pay is based on various factors, including work location, relevant experience and skills, the responsibility of the role, and job duties/requirements. The base pay range for this role is $132,000 (min) - $181,500 (max) CAD annually. The listed ranges represent earning potential in this position. These ranges were determined by a market-based compensation approach; we used data from trusted third-party compensation sources to set equitable, consistent, and competitive ranges. We also evaluate compensation bi-annually, identify any changes in the market and make adjustments to our ranges and existing employee compensation as needed. Base pay is only one element of an employee's total compensation at Sprout. Every Sprout team member has an opportunity to receive restricted stock units (RSUs) under Sprout’s equity plan. We have outlined the various components to an employee’s full compensation package here to help you to understand our total rewards package. Candidates for this remote work opportunity must be based in either Alberta, British Columbia or Ontario. If you are based in another location within Canada, we aren’t able to hire in your location at this time. #LI-Remote Sprout Social Inc. and its subsidiaries process personal data submitted through your application to assess your qualifications for employment and to inform our hiring decision and, where applicable, for required governmental reporting. For more information, please review Sprout's Global Applicant Privacy Notice.

Role Description Enjoy problem-solving, need a venue to display your creativity, and emerging technologies pique your interest; if so, Barrow Wise Consulting, LLC is for you. As a multi-disciplined leader, you understand the gifts that set you apart from everyone else. Demonstrate innovative solutions to our clients. Join Barrow Wise Consulting, LLC today. The Economist will support Barrow Wise's Maryland project and perform the following duties: - Lead policy development and provide regulatory clauses concerning electricity transmission - Develop the economic strategy for the expansion of utility services including transmission lines across the State - Develop the economic justification for high-threshold ratepayer protections - Audit the complex Cost-of-Service Studies (COSS) submitted by utility companies - Analyze engineering documentation and list the impacts - Provide testimony in reports and as an expert witness - Work Remotely but some travel to Maryland is required Qualifications - U.S. Citizenship - Advanced degree (Master's or Ph.D.) in Economics, Finance or Public Policy - Deep, practical expertise in Class Cost Allocation, Jurisdictional Cost-of-Service Studies (COSS), and utility revenue requirement modeling - 10+ years of applied experience in regulatory economics, utility finance, or rate design Benefits - Competitive compensation packages - Excellent benefits - Opportunities for growth and advancement

• Design and build Machine Learning Operations (MLOps) platforms • Develop and architect machine learning services that enable you to create and deploy innovative solutions based on existing ML models • Work across various industries on exciting and challenging use cases, such as processing large volumes of data or building agent-based AI systems.

Welcome! We’re excited you’re considering an opportunity with us! To apply to this position and be considered, click the Apply button located above this message and complete the application in full. Below, you’ll find other important information about this position. Under the general supervision of the AVP Chief Data Officer, this position creates and delivers Machine Learning models to drive operational improvements, automate tasks, augment human performance, provide analytics, risk scoring and surveillance solutions using large datasets and an array of advanced data science technology. Leads all the processes from data collection, data cleaning, data engineering and preprocessing, to training models and deploying them in production. Works with complex data environments in healthcare using information in electronic medical records, healthcare claims, unstructured text data, diagnostic images and other data sources. Collaborates with a multi-disciplinary team of data scientists, software engineers, and subject domain experts to identify and manage high value opportunities. MINIMUM QUALIFICATIONS: EDUCATION, CERTIFICATION, AND/OR LICENSURE: 1. Bachelor's degree in Machine Learning, Computer Science, Computer Linguistics, Mathematics, or related field AND three (3) years of experience with Machine Learning techniques with in-depth understanding of machine learning algorithms and modeling OR Master’s Degree AND one (1) year of experience with Machine Learning techniques with in-depth understanding of machine learning algorithms and modeling PREFERRED QUALIFICATIONS: EDUCATION, CERTIFICATION, AND/OR LICENSURE: 1. Publications at top-tier peer-reviewed conferences or journals. 2. Successful Kaggle competition with top ranking. EXPERIENCE: 1. Experience with healthcare and/or finance. 2. Experience in data science, mathematics. 3. 3 years of software development experience. 4. Experience in programming languages like Python and Java. 5. Experience working with cloud-based services and systems including one or more of Amazon ML, Microsoft Azure, Google Cloud ML, or similar. 6. Experience in object-oriented design, data structures, high-performance computing. 7. Experiences using system monitoring tools and automated testing frameworks. 8. Experience delivering systems and services with large scale deployment of machine learning products. 9. Experience in building natural language processing and computer vision systems. Job Description 01:56 PM 01/09/2024 Page 2 of 3 10. Experience with Agile and Scrum Software Development methodologies. 11. Experience with SOA standards, including SOAP, REST, WSDL, XML, XSD, XSLT, UDDI. CORE DUTIES AND RESPONSIBILITIES: The statements described here are intended to describe the general nature of work being performed by people assigned to this position. They are not intended to be constructed as an all-inclusive list of all responsibilities and duties. Other duties may be assigned. 1. Data mining, data cleaning, data engineering. 2. Select features, build, and optimize classifiers for the use of machine learning techniques. 3. Develop new ML algorithms to find predictive patterns. 4. Establish meaningful criteria for evaluating algorithm performance and suitability. 5. Automate model training and testing and deployment via machine learning continuous delivery pipelines. 6. Implement working, scalable, production-ready Machine Learning and AI Process Automation models and code. 7. Optimize processes for maximum speed, performance and accuracy. 8. Keep up to date with Machine Learning best practices and evolving open source frameworks. 9. Work in an agile team in a scrum process, collaborating closely with software engineers, data scientists, data engineers, subject domain experts and QA analysts. PHYSICAL REQUIREMENTS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. WORKING ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 1. Normal office environment. SKILLS AND ABILITIES: 1. Knowledge of software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. 2. Applied statistics skills. 3. Good written and verbal communication skills, including technical writing and PowerPoint presentations. 4. Adept at presenting complex topics, influencing and executing with timely and actionable follow-through. 5. Ability to clearly and concisely communicate with technical and non-technical customers both verbally and in writing. 6. Thorough understanding of the principles of data security, particularly personally-identifiable information and protected health information. 7. Thorough understanding of copyright compliance, intellectual property, and corporate identity programs. Additional Job Description: Scheduled Weekly Hours: 40 Shift: Exempt/Non-Exempt: United States of America (Exempt) Company: SYSTEM West Virginia University Health System Cost Center: 576 SYSTEM IT Artificial Intel Analytics