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Salary- $117K/yr - $134K/yr
California, Hybrid
Posted 2 months ago
Title: Azure Data Engineer
Location: Hybrid
- Python, SQL
- DBT Experience
- Previous retail (Prev Albertsons would be great!)
- Communication is key, speaking to stakeholders
- Communication skills, explain implementation teams
- Work with functionally split within retail analytics side
- Person would be working on hub and spoke model- supply chain and merchandising
- Two domains supply chains and store sites- lead engineers do review to other on team.
GENERAL PURPOSE:
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The Data Engineer III plays a critical role in engineering of data solutions that support Ross reporting and analytic needs. As a key member of the Data engineering team, will work on diverse data technologies such as Steramsets, dbt, data ops and others to build insightful, scalable, and robust data pipelines that feed our various analytics platforms. |
QUALIFICATIONS AND SPECIAL SKILLS REQUIRED:
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Title: Azure Data Engineer Location: Hybrid Python, SQL DBT Experience Previous retail (Prev Albertsons would be great!) Communication is key, speaking to stakeholders Communication skills, explain im...
Overview:
A Data Ethicist focuses on ensuring that data-driven systems, especially those involving machine learning and AI, are designed, implemented, and maintained in ways that are ethical, fair, and transparent. This role sits at the intersection of data science, philosophy, policy, and law.
Key Responsibilities:
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Analyze datasets and algorithms for bias, fairness, and representativeness.
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Design ethical frameworks for AI and data usage.
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Work with data scientists, engineers, and product teams to implement responsible AI practices.
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Develop tools and metrics to audit models for ethical risk (e.g., fairness, privacy, transparency).
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Collaborate with legal and compliance teams to ensure adherence to regulations like GDPR, CCPA, or AI-specific laws.
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Educate stakeholders on data ethics principles.
Required Skills:
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Strong foundation in data science and machine learning.
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Understanding of ethical theory, philosophy, or AI ethics.
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Experience with explainable AI (XAI) tools and fairness libraries (e.g., IBM AIF360, SHAP, LIME).
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Ability to communicate complex ideas to non-technical stakeholders.
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Familiarity with privacy-enhancing technologies (e.g., differential privacy, federated learning).
Job Features
| Job Category | AI Engineer |
Overview: A Data Ethicist focuses on ensuring that data-driven systems, especially those involving machine learning and AI, are designed, implemented, and maintained in ways that are ethical, fair, an...
Under direct supervision, applies professional bioinformatics concepts and computational procedures to complete small projects or portions of projects. Works on assignments of limited scope and complexity. Follows standard programming procedures to analyze situations and data from which answers can be readily obtained.
The Fragiadakis (Data Science) and Combes (Disease to Biology) Labs, are seeking researchers in computational biology, bioinformatics, and data science to tackle current challenges in immunology. As a member of the lab, you will learn the analysis methods, as well as the conceptual and biological background, to analyze -omics datasets such as CyTOF, single-cell sequencing, and spatial transcriptomics. Once comfortable with these methods, under direct supervision, you will perform analyses to contribute to our understanding of immune state in our patient cohorts. You will integrate molecular data with clinical information to understand how the immune system impacts disease outcomes. You will be expected to document your analyses, present your progress and results, and participate in lab meetings.
We currently have several projects examining the relationship between immune state and health outcomes in a variety of UCSF patient cohorts, including infection, autoimmunity, and cancer. Our aim is to better understand how the immune system is wired and responds, to develop better disease diagnosis and treatments. As a member of our labs, you will contribute to the design of new experiments, help maintain our computational infrastructure, and track the flow of samples and information for large-scale studies. This position is jointly offered by Dr. Alexis Combes and Dr. Gabriela Fragiadakis, who both direct CoLab teams that often collaboratively pursue questions of immune state using single-cell methods, providing an environment of wet-lab and computational biologists with whom to work.
While this position requires some proficiency in programming and data analysis, candidates who are fast and eager learners, who can readily adopt new bioinformatics pipelines/workflows that have been developed in the lab and the field at-large and apply them to a series of diverse projects can be successful in this role. An aptitude for collaborative work and organization is required to excel in our environment of diverse researchers. The candidate will receive training in data analysis, as well as develop expertise and intuition in biology. This position is ideal for recent graduates and can serve as a stepping-stone for a graduate program or career in bioinformatics, computational biology, or data science.The final salary and offer components are subject to additional approvals based on UC policy.Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.The salary range for this position is $67,000 - $143,800 (Annual Rate).To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html
Department Description
CoLabs is a new model for research collaborations for the UCSF community. CoLabs centralizes research teams and creates a set of common pipelines and workflows. It recruits and retains world class staff and trainees and develops transformative methods and technologies through engagement with the research community and institutional investments. The CoLabs initiative is comprised of five labs: Biological Imaging Development (BIDC), Data Science (DS), Disease to Biology (D2B), Flow Cytometry, and Genomics. The CoLabs help organize and integrate the UCSF community through common pipelines and data curation and pursue a set of collaborative "CoProjects" that tackle fundamental questions in the biomedical research. CoProject day-to-day operations are managed and run through the CoLabs.
Required Qualifications
- Bachelor's degree in biological science, computational / programming (bioinformatics, computational biology, statistics, computer science, engineering), or related area and / or equivalent experience / training.
- Knowledge in a programming language such as R. Python, or similar programming languages.
- Knowledge in flow/mass cytometry and/or bulk/Single-cell RNAseq
- Basic knowledge of biology
- Interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization.
- Ability to communicate technical information in a clear and concise manner.
- Self motivated, able to learn quickly, meet deadlines and demonstrate problem solving skills.
Preferred Qualifications
- Basic knowledge of the execution and optimization of biological pipelines.
- Basic knowledge of databases.
- Basic project management skills.
- Basic knowledge of GitHub or equivalent
About UCSF
The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world’s leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.
Pride Values
UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence – also known as our PRIDE values.
In addition to our PRIDE values, UCSF is committed to equity – both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available at diversity.ucsf.edu
Join us to find a rewarding career contributing to improving healthcare worldwide.
Equal Employment Opportunity
The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
Organization
Campus
Job Code and Payroll Title
009403 BIOINFORMATICS PROGR 1
Job Category
Professional (Non-Clinical)
Bargaining Unit
99 - Policy-Covered (No Bargaining Unit)
Employee Class
Career
Under direct supervision, applies professional bioinformatics concepts and computational procedures to complete small projects or portions of projects. Works on assignments of limited scope and comple...
Salary- $144K/Yr - $207K/Yr
New York
Posted 2 months ago
Title: Security Analyst II
Location: Remote
Summary
Under the general review of the IT Solution Center (ITSC) Supervisor, this position provides support for customer identity verification to confirm the authenticity of provided information and identity proofing by collecting and analyzing data to validate an identity. It will also provide backup support for Identity and Access Management (IAM) activities for ETF.
This position will provide user assistance with automated identity proofing systems and processes. Identity verification will use demographic and other information and software tools to validate documents such as passports and driver's licenses. If an identity cannot be verified, this position will analyze reason and informational codes from system transactions to determine if a user is fraudulent or to determine next steps for providing assistance. In situations where using the automated systems is not feasible, this position will offer alternatives, including in-person meetings at ETF offices. This position along with other business partners across the agency will help to ensure all personal information and other data is safeguarded. This position will recommend process and service enhancements to address the business needs of identity proofing and verification.
Skills:
· Ability to handle difficult situations calmly and empathize with customers.
· Ability to analyze data and transaction codes within technical applications and dashboards.
· Ability to ensure the accuracy of identity information provided by customers by cross-checking against relevant databases and records. · Attention to detail: Ensure accuracy when recording and updating system information and documentation.· Knowledge on concepts of authentication, authorization, and multi-factor authentication.
Preferred Skill
· Experience in a role verifying individual identities using identity proofing tools and software.
· Experience handling identity proofing/verification in-person or remotely on-line.
Job Features
| Job Category | Data Science |
Title: Security Analyst II Location: Remote Summary Under the general review of the IT Solution Center (ITSC) Supervisor, this position provides support for customer identity verification to confirm t...
Location
USA
Work Mode
RemoteCommitment
ContractNo of Positions
1Required Skills
Chat Bot Developer/Gen AI with RASA experienceJob Description
- Chatbot Developer/Gen AI with RASA experience.
- Long term contract, Mon - Fri 40 hours per week.
How to Apply
Be part of a collaborative, fast-paced team at the forefront of innovation and technology advancements. Not only will you enjoy your work life at Relevance Lab, you’ll also have the opportunity to grow your skills and career. If you are passionate about driving results, we’d love to talk with you.Job Features
| Job Category | Data Engineer, Data Science |
Location USA Work Mode Remote Commitment Contract No of Positions 1 Required Skills Chat Bot Developer/Gen AI with RASA experience Job Description Chatbot Developer/Gen AI with RASA experience. Long t...
What to Expect
What You'll Bring
Compensation and Benefits
We are looking for a dynamic Content Specialist who thrives in a high-energy, rapidly evolving setting. The ideal candidate will bring a data-centric approach, a passion for streamlining processes, and meticulous attention to detail. This position focuses on optimizing operational workflows, providing strategic support to communications teams (e.g., coordinating campaigns, managing timelines, and aligning messaging efforts), spearheading cross-functional initiatives, and elevating project management methodologies to drive efficiency, collaboration, and innovation.
What You'll Do
- Curate and execute weekly communication campaigns that support our field teams in understanding company initiatives and the whys behind
- Partner with internal stakeholders (e.g. Sales and Service Operations teams) to develop, refine, and deliver tailored content strategies that resonate with field audiences
- Ensure consistency, reliability, and quality in communications that align with Brand Standards
- Lead diverse project ideation, prioritization, and execution across multiple regions and continuously evaluate project impact on operational efficiency, refining strategies for optimal performance
- Apply content management strategies, in collaboration with systems engineers and operational stakeholders, to organize content for an improved user experience and seamless AI integration
- Bachelor's Degree in Business, Communications, Finance or related field or equivalent experience
- Intermediate skills in MS Excel
- Strong written and verbal English skills
- Ability to credibly convey complex ideas effectively at the executive level
- Able to juggle multiple competing priorities in a face paced environment
- Available to work on additional responsibilities as assigned to meet business needs
Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
- Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
- Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
- Company paid Basic Life, AD&D, short-term and long-term disability insurance
- Employee Assistance Program
- Sick and Vacation time (Flex time for salary positions), and Paid Holidays
- Back-up childcare and parenting support resources
- Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- Weight Loss and Tobacco Cessation Programs
- Tesla Babies program
- Commuter benefits
- Employee discounts and perks program
Job Features
| Job Category | Data Engineer, Data Science |
What to Expect We are looking for a dynamic Content Specialist who thrives in a high-energy, rapidly evolving setting. The ideal candidate will bring a data-centric approach, a passion for streamlinin...
Salary- $180K/Yr - $210K/Yr
Remote
Posted 2 months ago
About the Role
We are seeking a Cyber Security with strong expertise in implementing secure and compliant AI/ML solutions. The role will focus on ensuring responsible AI adoption, data security, compliance, and governance across AI/ML projects. The ideal candidate will have hands-on experience in security architecture, cloud platforms (especially Microsoft Azure), and governance frameworks, with proven knowledge of AI/ML lifecycle risks.
Key Responsibilities
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AI/ML Security & Governance
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Design, implement, and manage governance frameworks for AI/ML systems to ensure compliance with regulatory, ethical, and organizational standards.
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Assess AI/ML models and pipelines for risks such as bias, fairness, privacy, and explainability.
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Define and enforce AI/ML security policies, controls, and monitoring mechanisms.
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Security Architecture (Azure Focused)
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Design and maintain secure cloud-based ML/AI solutions on Microsoft Azure.
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Implement Identity & Access Management (IAM), Key Vault, encryption, and security monitoring for ML workloads.
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Support compliance with industry standards (ISO, GDPR, HIPAA, SOC2, etc.).
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Governance & Risk Management
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Establish model governance, monitoring, and audit mechanisms across the ML lifecycle.
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Conduct risk assessments and threat modeling for AI/ML applications.
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Collaborate with compliance, risk, and IT security teams to ensure responsible AI adoption.
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Operational Excellence
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Support incident response and vulnerability management for AI/ML environments.
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Provide security awareness and governance best practices for AI/ML teams.
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Document governance frameworks, security policies, and compliance reports.
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Required Skills & Qualifications
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Experience:
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2.5+ years of professional experience in AI/ML governance, security, or cloud security architecture.
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Hands-on experience with AI/ML model lifecycle security (data handling, training, deployment, monitoring).
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Technical Skills:
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Strong knowledge of Microsoft Azure AI/ML services (Azure ML, Cognitive Services, Synapse).
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Expertise in Azure Security architecture (Defender, Sentinel, Key Vault, IAM).
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Understanding of data security, encryption, and compliance frameworks.
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Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and MLOps concepts.
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Knowledge of Responsible AI principles (bias detection, model explainability, privacy-preserving ML).
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Certifications (Required/Preferred):
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Microsoft Certified: Azure Security Architect Expert (Required).
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AI/ML Certification (e.g., Microsoft Certified: Azure AI Engineer Associate, AWS Machine Learning Specialty, or equivalent).
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Soft Skills:
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Strong analytical and problem-solving skills.
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Excellent communication and stakeholder management skills.
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Ability to work cross-functionally with security, compliance, and data science teams.
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About the Role We are seeking a Cyber Security with strong expertise in implementing secure and compliant AI/ML solutions. The role will focus on ensuring responsible AI adoption, data security, comp...
Salary- $94K/yr - $123K/yr
Remote
Posted 2 months ago
About the Role
We are seeking an AI/ML Governance & Security Specialist with strong expertise in implementing secure and compliant AI/ML solutions. The role will focus on ensuring responsible AI adoption, data security, compliance, and governance across AI/ML projects. The ideal candidate will have hands-on experience in security architecture, cloud platforms (especially Microsoft Azure), and governance frameworks, with proven knowledge of AI/ML lifecycle risks.
Key Responsibilities
-
AI/ML Security & Governance
-
Design, implement, and manage governance frameworks for AI/ML systems to ensure compliance with regulatory, ethical, and organizational standards.
-
Assess AI/ML models and pipelines for risks such as bias, fairness, privacy, and explainability.
-
Define and enforce AI/ML security policies, controls, and monitoring mechanisms.
-
-
Security Architecture (Azure Focused)
-
Design and maintain secure cloud-based ML/AI solutions on Microsoft Azure.
-
Implement Identity & Access Management (IAM), Key Vault, encryption, and security monitoring for ML workloads.
-
Support compliance with industry standards (ISO, GDPR, HIPAA, SOC2, etc.).
-
-
Governance & Risk Management
-
Establish model governance, monitoring, and audit mechanisms across the ML lifecycle.
-
Conduct risk assessments and threat modeling for AI/ML applications.
-
Collaborate with compliance, risk, and IT security teams to ensure responsible AI adoption.
-
-
Operational Excellence
-
Support incident response and vulnerability management for AI/ML environments.
-
Provide security awareness and governance best practices for AI/ML teams.
-
Document governance frameworks, security policies, and compliance reports.
-
Required Skills & Qualifications
-
Experience:
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2.5+ years of professional experience in AI/ML governance, security, or cloud security architecture.
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Hands-on experience with AI/ML model lifecycle security (data handling, training, deployment, monitoring).
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Technical Skills:
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Strong knowledge of Microsoft Azure AI/ML services (Azure ML, Cognitive Services, Synapse).
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Expertise in Azure Security architecture (Defender, Sentinel, Key Vault, IAM).
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Understanding of data security, encryption, and compliance frameworks.
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Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and MLOps concepts.
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Knowledge of Responsible AI principles (bias detection, model explainability, privacy-preserving ML).
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Certifications (Required/Preferred):
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Microsoft Certified: Azure Security Architect Expert (Required).
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AI/ML Certification (e.g., Microsoft Certified: Azure AI Engineer Associate, AWS Machine Learning Specialty, or equivalent).
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Soft Skills:
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Strong analytical and problem-solving skills.
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Excellent communication and stakeholder management skills.
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Ability to work cross-functionally with security, compliance, and data science teams.
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Job Features
| Job Category | Cyber Security |
About the Role We are seeking an AI/ML Governance & Security Specialist with strong expertise in implementing secure and compliant AI/ML solutions. The role will focus on ensuring responsible AI a...
Job Description:
We are looking for a Site Reliability Engineer with a passion for astronomy and space technology to join our team. In this role, you will work closely with astronomers, astrophysicists, and data scientists to develop, deploy, and manage scalable infrastructure for astronomical data processing, observatory automation, and space research applications.
Key Responsibilities:
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Design, implement, and maintain CI/CD pipelines for astronomical software and data processing workflows.
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Manage and optimize cloud-based infrastructure (AWS, Azure, or Google Cloud) for large-scale space data storage and analysis.
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Automate deployment, scaling, and monitoring of telescope control systems, astrophysics simulations, and satellite operations.
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Collaborate with scientists and engineers to integrate DevOps best practices into astronomical research projects.
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Implement containerization and orchestration (Docker, Kubernetes) for astronomical data pipelines.
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Enhance system reliability, security, and performance for astronomical observatories and space missions.
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Develop and maintain infrastructure as code (Terraform, Ansible, or CloudFormation).
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Monitor and troubleshoot system performance and astronomical data processing jobs.
Requirements:
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Bachelor's or Master’s degree in Computer Science, Astronomy, Astrophysics, or related fields.
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3+ years of experience in DevOps, SRE, or Cloud Engineering.
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Proficiency in Linux, Shell scripting, Python, or Golang.
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Experience with cloud services (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
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Knowledge of big data processing (Hadoop, Spark, or Apache Airflow) for handling astronomical datasets.
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Familiarity with astronomical data formats (FITS, HDF5) and scientific computing tools.
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Passion for space exploration, astronomy, or satellite technology.
Preferred Qualifications:
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Experience working with astronomical observatories, space agencies, or research institutes.
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Understanding of radio astronomy, optical telescopes, or space mission software.
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Contributions to open-source projects related to space science or DevOps.
Benefits:
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Work on cutting-edge space and astronomy projects.
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Collaborate with leading scientists and space agencies.
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Competitive salary and flexible work environment.
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Opportunity to contribute to groundbreaking astronomical discoveries.
Job Features
| Job Category | Cloud Security Engineer |
Job Description: We are looking for a Site Reliability Engineer with a passion for astronomy and space technology to join our team. In this role, you will work closely with astronomers, astrophysicist...
Build the future of the AI Data Cloud. Join the Snowflake team.
Our Sales Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud.
This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions.
IN THIS ROLE YOU WILL GET TO:
- Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the Americas.
- Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases.
- Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback.
- Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos.
- Influence, tailor and maintain Sales Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories.
- 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
- Familiarity and associated knowledge of generative AI techniques like RAG, few shot learning, prompt engineering, or fine-tuning that are used to operationalize enterprise AI use cases like interactive chat applications or text processing.
- Deep knowledge of Python and common ML packages (such as LangChain, pandas, sklearn, and PyTorch) as well as data engineering tools and technologies like dbt, Airflow, and Spark.
- Strong presentation skills to both technical and executive audiences, whether whiteboarding sessions or formal readouts and demos.
- Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.
- Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, and NeMo-Guard.
- Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. AWS, Microsoft Azure, GCP, etc.)
- 1+ years of practical Snowflake experience.
- Knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)
Build the future of the AI Data Cloud. Join the Snowflake team. Our Sales Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technic...