Astreya

Role Description Translate business goals into measurable ML goals (KPIs, acceptance thresholds) in collaboration with PMs and data scientists. - Own the full lifecycle from prototyping (incl. deep learning and GenAI) to deployment and monitoring. - Develop and maintain observability dashboards and alerts tied to ML metrics and feature drift. - Run and safeguard models in real time. - Pilot new ML tools/frameworks, leading integration into production where appropriate. - Act as a cross-org ML thought leader—aligning product, infra, legal, and UX on responsible ML. Qualifications - Bachelor’s degree in Computer Science, Data Science, IT, or a related field. Master’s preferred or equivalent experience for senior levels. - Level 1: 1–2 years in data science/ML roles; hands-on with frameworks like scikit-learn or PyTorch. - Programming: Python (must), Java/C++ (optional), SQL, Apps Script, ServiceNow. - Frameworks: TensorFlow, PyTorch, scikit-learn, HuggingFace. - Tools: Git, Docker, Kubernetes, Airflow, MLflow, Jupyter, Postman. - Data pipeline skills: SQL, Pandas, data APIs. - Deployment: Flask/FastAPI, CI/CD, REST APIs, cloud functions. - Strong analytical and debugging skills. - Translate business problems into AI solutions. - Communicate effectively with technical and non-technical stakeholders. - Work under Agile or DevOps-based workflows. - Stay current with research and emerging technologies. - Rapidly learn new AI concepts and tools. - Handle ambiguity and balance research with delivery. - Collaborate across globally distributed teams. Requirements - Assist in data cleaning, feature engineering, testing basic ML models, write and debug simple scripts. - Develop ML modules, assist in deployment, support data pipelines, contribute to documentation and unit testing. - Support data preparation, model training under guidance, debug code, attend knowledge sessions. - Develop and maintain smaller AI modules (e.g., anomaly detection), assist in deployments, write technical documentation. - Lead development of scalable ML models, integrate into ITSM systems, ensure compliance and performance metrics. - Architect end-to-end AI platforms, oversee cross-domain projects (e.g., NLP for service desk, CV for asset tracking). Competencies - Technical Expertise: - Understands basic ML/DL principles. - Codes in Python/R. - Familiarity with AI/ML tools such as Jupyter, scikit-learn, or TensorFlow (basic use). - Applies supervised/unsupervised ML methods. - Proficient in TensorFlow/PyTorch. - Uses cloud ML services. - Familiar with ML pipelines. - Documents technical solutions and contributes to code reviews. - Designs and builds production-grade models. - Uses MLflow, Airflow, CI/CD tools. - Experience with model deployment and monitoring. - Owns end-to-end AI/ML solutions including architecture, training, deployment, and monitoring. - Applies domain knowledge to improve model relevance (e.g., IT ops, cybersecurity). - Drives model optimization at scale. - Understands data engineering best practices. - Defines org-wide AI/ML standards. - Oversees architecture for reusable platforms. - Directs ML model governance and compliance. - Evaluates and mitigates risks related to fairness, privacy, and regulatory requirements. - Problem Solving & Innovation: - Solves small coding and data cleaning problems. - Ability to analyze and clean datasets. - Identifies root causes in data/model issues. - Applies ML solutions to scoped problems. - Effective in debugging and troubleshooting code and data issues. - Selects and tunes algorithms for real-world impact. - Innovates within team on novel use cases. - Collaboration & Communication: - Good communication and team collaboration skills. - Shares ideas in meetings. - Communicates findings clearly to peers. - Contributes to documentation and demos. - Collaborates cross-functionally to integrate models into services. - Explains model behavior to technical and semi-technical audiences. - Interprets results and presents actionable insights to stakeholders. - Builds trust with cross-functional teams and leadership.

• Process contracts according to client policies. • Assist in preparation of service termination processing via amendments. • Maintain an internal database with pertinent information, including legal documents. • Assist in preparation and revision of contracts that involve the purchase of sale of goods and services. • Handle the acquisition, distribution, and store of equipment and supplies. • Dispose of unclaimed property. • Assist in proposal planning and administration of contracts. • Prepare contract briefs and revisions summarizing contractual requirements and budgets. • Track authorizations and correspondence, maintaining detailed and organized files. • Prepare contract change notices, monitor contractor performance, including the reporting and status of contractor and owner deliverables. • Maintain an audit file for each contract which will include original contract, all correspondence, changes/deviations, amendments, clarifications, payment schedules. • Perform closing activities as needed. • Track payments and deadlines. • Analyze and mitigate risk. • Other duties as required.

• The Project & Program Management role is responsible for planning and coordinating all aspects of large scale Data Center builds and retrofits from initiation to delivery • Coordinates work performed by network engineers, data center technicians, and internal customers/partners • Develops detailed project plans and manages all implementation processes including asset management, resource allocation, progress tracking, monitoring change control process, documentation, training and on-time delivery within budget constraints • Manages multiple, cross-functional and technical network deployment projects • Partners with functional teams during initiation, plan, design, procurement, deployment, and post deployment phases • Responsible for managing/tracking program milestones, timeline, and overall deliverables • Engages in creating and maintaining comprehensive project documentation including schedules, reviews, process documents, risk analysis, etc. • Participates in the definition of project scope and objectives, involving all relevant stakeholders and ensuring technical feasibility • Uses metrics and KPIs to measure project performance using appropriate tools and techniques, and provides regular status updates

• The Project Coordinator II will plan and coordinate aspects of internal projects from initiation to delivery. • Projects often involve network, server, or software implementation and upgrades, PC deployment and the like. • Works on assignments that are moderately difficult, requiring judgment in resolving issues. • Requires some instruction on new assignments and infrequent checks on daily work. • Gather and maintain project requirement lists. • Provides weekly project updates including action item updates. • Schedules and coordinates project reviews and follows up on assigned actions. • Effectively and accurately communicate status to the project team. • Maintains and monitors project plans, project schedules, work hours and expenditures. • Assists with identifying project issues, determining the right team member to provide a solution, and/or escalating the issue to the client manager. • Takes part in organizing, attending and participating in stakeholder meetings. • Documents and follows up on important actions and decisions from meetings. • Collaborates with various regional teams responsible for project resources and ticket resolution. • Assists with daily monitoring of the ticketing system, reassigning tickets where required. • Produces regular reports as required. • Assists with identifying trends or recurring problems and escalates to management for resolution. • Assists with locating and defining new process improvement opportunities. • Develops and maintains knowledge and skills and keeps up-to-date with new processes and procedures. • Works closely with SDMs/Project Managers to understand and maintain focus on their analytical needs, including assisting with identifying critical metrics and KPIs, and delivering actionable insights to relevant decision-makers.

Role Description We are seeking a detail-oriented and technically capable IAM Analyst II to join our Corporate Identity and Access team, embedded within one of our high-growth technology clients. This role owns application integration work, handles escalated access tickets, and serves as a point of coordination between application owners, vendors, and the broader identity team on complex integrations. This position starts as part-time with a clear path to full-time as the engagement grows. It sits at the intersection of IT operations and identity engineering — a great fit for someone who thrives in both execution-focused and relationship-facing work. Key Responsibilities - Execute and manage SaaS application integrations, including direct coordination with application owners and external vendors on complex configurations. - Triage and resolve escalated access tickets from the IT Operations team, driving issues to resolution or escalating appropriately. - Support user lifecycle workflows, including provisioning and deprovisioning across a broad SaaS portfolio. - Maintain and improve documentation, runbooks, and process guides for integration and access workflows. - Assist with audit evidence collection and access review activities to support compliance requirements. - Partner with Security, IT, and People Operations teams to ensure access is governed consistently and at scale. Qualifications - 2+ years of experience in IT operations, identity and access management, or a closely related field. - Hands-on experience with Okta or a comparable IAM platform (Azure AD / Entra ID). - Experience with SaaS application integrations, including SCIM provisioning and SSO configurations. - Comfortable engaging directly with application owners and external vendors to troubleshoot and complete integrations. - Familiarity with IT service management and ticketing systems (Jira, ServiceNow, or similar). - Strong attention to detail with the ability to follow and continuously improve established processes. - Ability to work independently in a remote capacity with minimal supervision. Requirements - Basic scripting or automation experience (Python, JavaScript, or similar). - Exposure to identity governance and access review processes. - Experience supporting audit evidence collection in a SOC 2 or similar compliance environment. Salary Range $20.23 - $25.29 USD (Hourly) Please note that the salary information provided herein is base pay only (gross); it does not include other forms of compensation which may or may not apply to this specific position, namely, performance-based bonuses, benefits-related payments, or other general incentives - none of which are guaranteed, may be subject to specific eligibility requirements, and are wholly within the discretion of Astreya to remit. Further, the salary information noted above is a range that consists of a minimum and maximum rate of pay for this specific position. Where an applicant or employee is placed on this range will depend and be contingent on objective, documented work-related considerations like education, experience, certifications, licenses, preferred qualifications, among other factors. Benefits - Medical provided through UHC (PPO, HSA, Surest options). - Medical provided through Kaiser (HMO option only) for California employees only. - Dental provided through UHC. - Nationwide Vision provided by UHC. - Flexible Spending Account for Health & Dependent Care. - Pre-Tax Account for Commuter Benefit/Parking & Transit (location-specific). - Continuing Education and Professional Development via various integrated platforms, e.g. Udemy and Coursera. - Corporate Wellness Program provided by Goomi Group. - Employee Assistance Program. - Wellness Days. - 401k Plan. - Basic and Supplemental Life Insurance. - Short Term & Long Term Disability. - Critical Illness, Critical Hospital, and Voluntary Accident Insurance. - Tuition Reimbursement (available 6 months after start date, capped). - Paid Time Off (accrued and prorated, maximum of 120 hours annually). - Paid Holidays. - Any other statutory leaves, paid time, or other ancillary benefits required under state and federal law.

Role Description Translate business goals into measurable ML goals (KPIs, acceptance thresholds) in collaboration with PMs and data scientists. - Own the full lifecycle from prototyping (incl. deep learning and GenAI) to deployment and monitoring. - Develop and maintain observability dashboards and alerts tied to ML metrics and feature drift. - Run and safeguard models in real time. - Pilot new ML tools/frameworks, leading integration into production where appropriate. - Act as a cross-org ML thought leader—aligning product, infra, legal, and UX on responsible ML. Qualifications - Bachelor’s degree in Computer Science, Data Science, IT, or a related field. Master’s preferred or equivalent experience for senior levels. - Level 1: 1–2 years in data science/ML roles; hands-on with frameworks like scikit-learn or PyTorch. - Programming: Python (must), Java/C++ (optional), SQL, Apps Script, ServiceNow. - Frameworks: TensorFlow, PyTorch, scikit-learn, HuggingFace. - Tools: Git, Docker, Kubernetes, Airflow, MLflow, Jupyter, Postman. - Data pipeline skills: SQL, Pandas, data APIs. - Deployment: Flask/FastAPI, CI/CD, REST APIs, cloud functions. - Strong analytical and debugging skills. - Translate business problems into AI solutions. - Communicate effectively with technical and non-technical stakeholders. - Work under Agile or DevOps-based workflows. - Stay current with research and emerging technologies. - Rapidly learn new AI concepts and tools. - Translate business challenges into ML solutions. - Communicate technical findings to non-technical stakeholders. - Handle ambiguity and balance research with delivery. - Collaborate across globally distributed teams. Requirements - Each level, 1 - 5, represents a progression in complexity, autonomy, and responsibility. The higher the level, the more critical thinking, leadership, and expertise are required. - Technical Expertise: - Understands basic ML/DL principles. - Codes in Python/R. - Familiarity with AI/ML tools such as Jupyter, scikit-learn, or TensorFlow (basic use). - Applies supervised/unsupervised ML methods. - Proficient in TensorFlow/PyTorch. - Uses cloud ML services. - Familiar with ML pipelines. - Documents technical solutions and contributes to code reviews. - Designs and builds production-grade models. - Uses MLflow, Airflow, CI/CD tools. - Experience with model deployment and monitoring. - Owns end-to-end AI/ML solutions including architecture, training, deployment, and monitoring. - Applies domain knowledge to improve model relevance (e.g., IT ops, cybersecurity). - Drives model optimization at scale. - Understands data engineering best practices. - Defines org-wide AI/ML standards. - Oversees architecture for reusable platforms. - Directs ML model governance and compliance. - Evaluates and mitigates risks related to fairness, privacy, and regulatory requirements. - Problem Solving & Innovation: - Solves small coding and data cleaning problems. - Ability to analyze and clean datasets. - Identifies root causes in data/model issues. - Applies ML solutions to scoped problems. - Effective in debugging and troubleshooting code and data issues. - Selects and tunes algorithms for real-world impact. - Innovates within team on novel use cases. - Collaboration & Communication: - Good communication and team collaboration skills. - Shares ideas in meetings. - Communicates findings clearly to peers. - Contributes to documentation and demos. - Collaborates cross-functionally to integrate models into services. - Explains model behavior to technical and semi-technical audiences. - Interprets results and presents actionable insights to stakeholders. - Builds trust with cross-functional teams and leadership. Company Description

• Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions. • Responsible for statistical modeling, and analysis of structured and unstructured datasets to develop metrics, reports, and visualizations of trends and patterns. • Leads in the development and coding of software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources • Identifies meaningful insights from large data and metadata sources interprets and communicates insights and findings from analysis and experiments to product, service, and business managers • Propose solutions and strategies to business challenges and presents to the executive board • Create data visualizations • Leads and mentors others on the team • Build predictive models and machine-learning algorithms • Troubleshoot and test database technical issues with development team • Independently analyze data sets to identify opportunities for increased accuracy and efficiency • Perform quality assurance on data to determine potential data gaps • Assemble large, complex data sets that meet functional / non-functional business.

• Maintain the highest quality standards in all assigned data center locations and remote points of presence (POP) • Participate in performing physical installation, repair, maintenance, and testing activities as directed with meticulous attention to driving and maintaining the highest quality standards in the telecommunications industry • Help with performing card adds or replacements, software upgrades, and associated testing • Recommend improvements to processes that may impact the quality of our network assets or improve overall efficiencies for any related process or system • Provide site survey support for OSP and ISP projects, as well as large space & power and/or equipment deployments • Perform site audits and reconcile data discrepancies in coordination with Network Surveillance and other groups as necessary • Support the management of local construction vendors working on behalf of the company to ensure compliance with installation, repair, maintenance MOPs and standards, as well as quality and cleanliness • Meet/coordinate with Local Exchange Carrier (LEC) and other technicians to facilitate timely installation, repair, and maintenance activities as necessary • Perform site surveys in support of network builds, augments, or decommissions • Assist in coordinating site access, equipment staging, and other tasks • Other duties as required

Role Description The Senior Compensation Manager must have a strong background in implementation and project management, who thrives in a fast paced, matrixed environment, requiring creativity, influencing and collaboration. The Senior Compensation Manager must be someone comfortable working in a rapidly evolving environment. This is a hands-on role managing all compensation programs and processes and will work closely with departmental and cross-functional business partners to ensure enterprise-wide alignment with compensation philosophies, all aspects of pay, and incentive plans. - Establishes operational objectives and work plans and delegates assignments to subordinates. - Reviews objectives of other managers to determine operational success. - Involved in developing, modifying and executing company policies that affect immediate operations and may also have company-wide effect. Your Roles and Responsibilities: - Plan, develop, implement, and administer company-wide compensation programs, policies, and procedures and monitor compliance. - Apply deep business knowledge to evolve and develop compensation programs that inform long-term business decisions and priorities. - Lead compensation program implementation, change management and measurement of program success. - Drive results by tracking key operational metrics, identifying process improvement opportunities and delivering on strategic initiatives. - Initiate programs and policies to protect and improve the quality of compensation data, manage the gathering and documentation of technical requirements and processes. - Manage and oversee the bonus plan process and executive compensation. - Evaluate jobs, benchmarks, and review job offers for internal and external equity. - Participate in compensation surveys to collect and analyze salary information to determine the company's competitive positions. - Ensure company compliance with existing legal employment requirements. - Supervise and manage the compensation team as it relates to all projects. - Establish performance requirements, clarify responsibilities of those supervised, conduct performance appraisals and plans for individual employee improvement. - Manage activities of two or more sections or departments. - Exercise supervision in terms of costs, methods, and staffing. - Other duties as required. This list is not meant to be a comprehensive inventory of all responsibilities assigned to this position. Qualifications - Bachelor’s degree (B.S/B.A) from four-year college or university and 8+ years’ related experience and/or training; or equivalent combination of education and experience. - Regularly interacts with senior management or executive levels on matters concerning several functional areas, divisions, and/or customers. - Requires the ability to change the thinking of, or gain acceptance from, others in sensitive situations, without damage to the relationship. - Ability to present clearly and concisely. - Knowledge of compensation administration and design. - Analytical skills and detail orientation. - Experience designing and executing large scale compensation program changes. - Ability to travel both internationally and domestically. Preferred Qualifications - Physical Demand & Work Environment: - Must have the ability to perform office-related tasks which may include prolonged sitting or standing. - Must have the ability to move from place to place within an office environment. - Must be able to use a computer. - Must have the ability to communicate effectively. - Some positions may require occasional repetitive motion or movements of the wrists, hands, and/or fingers.

• Coordinate and process cross-connect orders (intra- and inter-facility) to support network capacity growth • Validate cross-connect installations against design specifications and ensure proper labeling and documentation • Work with colocation providers and internal teams to resolve cross-connect discrepancies and installation issues • Track cross-connect order status and escalate delays as needed • Investigate and remediate fallout tickets generated from Asgardian audits • Perform root cause analysis on discrepancies between physical infrastructure and system-of-record databases • Update records and coordinate with field teams to resolve cabling, patching, and connectivity inconsistencies • Drive fallout metrics toward zero through systematic resolution workflows • Support space and power planning activities for optical infrastructure deployments • Track cabinet/rack space utilization and power capacity for optical equipment • Coordinate with facilities and capacity teams to ensure adequate resources for planned builds • Assist in documenting power requirements and space allocations for new deployments • Support FMS data integrity initiatives including audits, migrations, and system updates • Ensure accurate fiber path documentation within FMS tools • Assist in onboarding new sites and circuits into FMS • Collaborate with engineering teams to improve FMS workflows and data accuracy