• Coordinate with vendors and subcontractors for site access and building access for ongoing construction services. • Work with site Project Manager on ongoing contact, communication, and coordination with Ameresco customers and subcontractors in the design and construction phases, including project status updates and remedies for delays or other concerns. • Manage, coordinate and supervise subcontractors to ensure quality control and that projects installed per design documents, are delivered on time and within budget while meeting or exceeding the customers’ expectations. • Evaluate technologies and equipment and recommend most suitable for each application. • Provide all necessary support, reports, and documentation required by Management for project, including technical and other support to sales, engineering and operating functions as needed. • Collaborate with Marketing, Sales, and Project Team to prepare and maintain all forms of project presentations, documentation, and related material. • Manage Project to assure accurate record keeping for project to include, daily log, schedule updates, customer interface. • Review and manage all expenditures for assigned project including ensuring all invoices approved for payment are within budget established in project report and have appropriate purchase orders, contracts, and supporting documentation. • Foster effective customer, subcontractor and vendor relationships at multiple levels and project phases. • Attend weekly construction meetings at jobsite. • Analyze proposals, prepare spreadsheets, and assist with review meetings; and perform other duties as required.

Role Description Brave is looking for an experienced Quality Assurance Engineer to focus on the quality of Brave's browser releases. You'll work with various groups across Brave, cutting across both functionality and departments. This is a high-profile and impactful, hands-on position that will require grit. Work together with our developers and privacy/security experts to help us take our browser to the next level. Qualifications - 5+ years experience with testing software - Strong written and verbal communication skills in English - Experience in macOS, Windows, and various Linux distributions - Android and iOS experience - Experience with both Android Studio and Xcode - Experience using packet monitoring tools (Charles Proxy, Fiddler, Wireshark) - Familiarity with cryptocurrency wallets and ecosystem - Familiarity with latest AI trends and ecosystem - Experience with git and other command line tools - Comfortable working in an open source setting and with GitHub - A passion for helping protect users’ privacy and security - Proven record of getting things done Requirements - 5+ years experience with testing software - Strong written and verbal communication skills in English - Experience in macOS, Windows, and various Linux distributions - Android and iOS experience - Experience with both Android Studio and Xcode - Experience using packet monitoring tools (Charles Proxy, Fiddler, Wireshark) - Familiarity with cryptocurrency wallets and ecosystem - Familiarity with latest AI trends and ecosystem - Experience with git and other command line tools - Comfortable working in an open source setting and with GitHub - A passion for helping protect users’ privacy and security - Proven record of getting things done Benefits - Industry-leader in privacy, with a research and engineering team that’s innovating every day to keep people safer online and beat Big Tech - Highly competitive salaries & benefits, and generous home-office stipends - Fully remote team (no office, no commute) - Welcoming, humble, ridiculously smart teammates, and a truly flat org structure - Opportunity to get in early at a hyper-growth company, and revolutionize the web - Salary range for this role is $90,000 - $130,000 USD, depending on experience

• Develop and Implement: Create threat detection rules, alerts, and dashboards using Splunk, SentinelOne, and other security tools. • Should be comfortable creating SIGMA rules in YAML. • Analyze Logs: Examine security logs and alerts to identify and investigate potential security incidents. • Continuously monitor security logs and network traffic for threats, breaches, and unusual activity. • Embed that activity into detection logic and security controls. • Collaborate: Work closely within the security team to enhance our overall security posture. • Administer applications within the EVERSANA security stack. • Stay Informed: Keep up-to-date with the latest threats, vulnerabilities, and security technologies. • Maintain Documentation: Contribute to the development and upkeep of security detection database. • Will be responsible for maintaining a list of currently deployed detection rules. • Automate Processes: Streamline security tasks and processes to boost efficiency and effectiveness. • Incident Response : Respond to security incidents, troubleshoot issues, and remediate as required. • Demonstrate a commitment to diversity, equity, and inclusion through continuous development, modeling inclusive behaviors, and proactively managing bias.

Role Description The Sr. Machine Learning Engineer is responsible for designing, building, and deploying machine learning systems that power AI-driven features across Mirion's products. This role combines hands-on modeling and ML infrastructure work with technical leadership — driving best practices for the ML lifecycle, mentoring engineers, and partnering with stakeholders to translate business problems into production-grade ML solutions. - Design, train, and deploy machine learning models for applied use cases across radiation safety, nuclear energy, and nuclear medicine. - Architect end-to-end ML systems, including training pipelines, model serving infrastructure, and monitoring. - Lead technical design reviews and mentor junior ML engineers on modeling, MLOps, and architectural best practices. - Establish standards for model evaluation, experiment tracking, reproducibility, and responsible AI across the team. - Partner with the Data Platform team to define feature requirements and ensure ML workloads are well-supported by the underlying data infrastructure. - Collaborate with stakeholders and product partners to translate business problems into well-scoped ML solutions. - Drive optimization initiatives for model performance, inference cost, and reliability in production. - Participate in hiring and team building for the Applied AI function. - Contribute to architectural decisions and long-term ML strategy. - Troubleshoot production model issues — drift, degradation, and pipeline failures — and implement robust monitoring and alerting. Qualifications - 5+ years experience in machine learning engineering, applied ML, or related field. - Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, or similar). - Deep experience taking ML models from research/prototype through to production deployment. - Hands-on experience with ML infrastructure — training pipelines, model serving, experiment tracking, and monitoring. - Solid software engineering fundamentals: testing, code review, version control, and CI/CD. - Working knowledge of SQL and modern data warehouses or lakehouses (Snowflake, BigQuery, Databricks, etc.). - Experience with cloud platforms (AWS, GCP, or Azure) at scale. - Proven ability to mentor and guide junior engineers. Preferred Qualifications - Experience building applied AI products or ML platforms from the ground up. - Experience with Databricks, MLflow, and lakehouse-based ML workflows. - Expertise with LLMs, RAG systems, or generative AI applications in production. - Experience with feature stores, vector databases, and real-time inference architectures. - Knowledge of model governance, model lineage, and responsible AI practices. - Background in regulatory-heavy industries or complex compliance requirements. - Experience with infrastructure-as-code and MLOps practices. - Background in computer vision, time-series, or signal processing (relevant to radiation detection data).