About the Team The AI Center of Excellence leverages advanced machine learning, LLMs, and agentic systems to enhance threat detection and automate security workflows for our global customers. We transform 20+ years of threat intelligence into proactive defense features through a collaborative, research-driven engineering environment. About the Role - As a Data Scientist (SE-2), your primary responsibility will be to contribute to the end-to-end development, evaluation, and monitoring of ML and LLM-based security features. - Execute data acquisition, cleaning, and feature engineering to prepare high-quality datasets for security modeling. - Build and evaluate supervised and unsupervised ML models, including classification, clustering, and anomaly detection. - Develop and optimize LLM-based workflows, including prompt engineering and the implementation of RAG pipelines. - Support the deployment and observability of models on AWS infrastructure using established CI/CD pipelines. The skills and qualities you'll bring include: - A courageous and curious mindset, demonstrating a strong ability to learn new technologies and operate in ambiguous problem spaces. - Exceptional collaboration skills with the ability to work cross-functionally with senior scientists and engineers to ship production features. - Strong ownership and principled decision-making when evaluating model performance and data quality. - 2-5 years of professional experience in Data Science or ML Engineering roles. - Proficiency in Python and its scientific ecosystem, specifically Pandas, NumPy, and scikit-learn. - Hands-on experience building and tuning supervised and unsupervised machine learning models. - Working knowledge of AWS ML services, including SageMaker, S3, Bedrock, and Lambda. - Foundational exposure to LLM orchestration frameworks such as LangChain or HuggingFace Transformers. - Understanding of deep learning frameworks (PyTorch or TensorFlow) for NLP or sequence-based problems. - Familiarity with model evaluation metrics and explainability techniques like SHAP or LIME. - Basic understanding of CI/CD pipelines (GitHub Actions/Jenkins) and version control for ML workloads. - Experience monitoring model performance and drift using tools like CloudWatch. We know that the best ideas and solutions come from multi-dimensional teams. That's because these teams reflect a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact, please don't be shy - apply today. #LI-AK1 About Rapid7 At Rapid7, our vision is to create a secure digital world for our customers, our industry, and our communities. We do this by harnessing our collective expertise and passion to challenge what's possible and drive extraordinary impact. We're building a dynamic and collaborative workplace where new ideas are welcome. Protecting 11,000+ customers against bad actors and threats means we're continuing to push the envelope just like we' ve been doing for the past 20 years. If you 're ready to solve some of the toughest challenges in cybersecurity, we're ready to help you take command of your career. Join us.

Role Description We’re hiring for multiple roles within our Professional Services team. Depending on experience and scope, this position may be offered as Senior Solutions Consultant, Resident Solutions Architect, or Senior Resident Solutions Architect. You may know this role as a Big Data Solutions Architect, Analytics Architect, Data Platform Architect, or Technical Consultant. The final title will align to your experience, technical depth, and customer-facing ownership. As a Data & AI Platform Architect (Professional Services) (Internal Title - Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: - Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases. - Work with engagement managers to scope a variety of professional services work with input from the customer. - Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications. - Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. - Provide an escalated level of support for customer operational issues. - Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. - Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Qualifications - Extensive experience in data engineering, data platforms & analytics. - Comfortable writing code in either Python or Scala. - Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one. - Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals. - Familiarity with CI/CD for production deployments. - Working knowledge of MLOps. - Design and deployment of performant end-to-end data architectures. - Experience with technical project delivery - managing scope and timelines. - Documentation and white-boarding skills. - Experience working with clients and managing conflicts. - Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. - Travel to customers 10% of the time. - [Preferred] Databricks Certification but not essential. Benefits - At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. - For specific details on the benefits offered in your region click here .

Title: Senior Developer, Enterprise AI Locations: Remote - Canada Vancouver , Toronto , Calgary Work Type:Remote, Hybrid, Full Time Job ID: REQ-4905 Job Description: Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely. We are transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice. Summary: We are currently seeking a Senior Developer, Enterprise AI to join our IT team in Canada. This role is also available to candidates across Canada, excluding Quebec. If you are local to one of our hubs (Burnaby, Calgary, or Toronto) you will be expected to be in office minimum twice per week on one of our Anchor Days. The Senior Developer, Enterprise AI is a hands-on technical leader responsible for building, operating, and evolving Clio's internal AI systems and platforms. Reporting to the Manager, Enterprise AI, this role focuses on delivering reliable, secure, and scalable AI-enabled workflows that integrate deeply with Clio's internal data and tools. You will work closely with partners across R&D, Go-To-Market, Finance, People, IT, Data Engineering, and Data Insights to turn real business problems into production-grade AI solutions. This role owns the full lifecycle of what they build from design and implementation through monitoring, iteration, and long-term support. What you'll work on: - Design, build, and maintain AI-enabled workflows, services, and applications integrated with Clio's internal data and systems. - Implement and operate solutions using modern AI platforms and tooling (e.g., LLM APIs, orchestration frameworks, retrieval systems). - Partner with Data Engineering and Data Insights on data modeling, classification, and metadata management (e.g., Databricks, dbt). - Contribute to developer accelerator tooling (e.g. standardized tool calling, MCP server configuration) - Ensure solutions are observable, reliable, secure, and cost-efficient, with clear monitoring and operational ownership. - Contribute to and uphold responsible AI standards, including privacy, security, and compliance requirements. - Collaborate with cross-functional teams to translate ambiguous problems into clear technical designs and shipped solutions. - Improve adoption and usability through documentation, internal tooling, and feedback-driven iteration. - Act as a technical mentor and thought partner within the Enterprise AI team, helping raise the bar for engineering quality and delivery. - Implement and document systems that are auditable and aligned with the organizational risk profile. What you may have: - 4+ years of experience in software engineering, data engineering, or AI systems development. - Hands-on experience delivering production-grade systems that integrate data, APIs, and complex workflows. - Strong proficiency in Ruby, Python, and experience building services, pipelines, or applications in a cloud environment. - Working knowledge of modern data platforms and tooling (e.g., SQL, Databricks, dbt). - Experience working with AI/ML or LLM-powered systems (e.g., prompt design, orchestration, retrieval, or model integration). - Solid understanding of system design, reliability, observability, and operational best practices. - Ability to work effectively with non-technical stakeholders and translate business needs into technical solutions. - Experience operating in environments with security, privacy, or compliance constraints. - Bachelor's degree in Computer Science, Engineering, Data, or equivalent practical experience. - Demonstrate a keen interest in improving your craft by using AI. This is a new position. #LI-Remote What you will find here: Compensation is one of the main components of Clio's Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture. Some highlights of our Total Rewards program include: - Competitive, equitable salary with top-tier health benefits, dental, and vision insurance - Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin, London, New York City and Sydney) to be in office min. twice per week. - Flexible time off policy, with an encouraged 20 days off per year. - $2000 annual counseling benefit - RRSP matching and RESP contribution - Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years The expected salary range* for this role is $149,600 to $176,000 to $202,400 CAD. There are a separate set of salary bands for other regions based on local currency. - Our salary bands are designed to reflect the range of skills and experience needed for the position and to allow room for growth at Clio. For experienced individuals, we typically hire at or around the midpoint of the band. The top portion of the salary band is reserved for employees who demonstrate sustained high performance and impact at Clio. Those who are new to the role may join below the midpoint and develop their skills over time. The final offer amount for this role will be dependent on geographical region, applicable experience, and skillset of the candidate. Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.

Develop and fine-tune AI models, collaborate with cross-functional teams to deliver innovative solutions, and engage with leadership to translate technical requirements, ensuring effective AI strategies for mission-critical applications.