Archives: Jobs

Job Overview

We are seeking a highly analytical Financial Data Analyst to support financial planning, reporting, and business decision-making through data-driven insights. The ideal candidate will possess strong quantitative skills, experience working with financial datasets, and the ability to translate complex information into actionable recommendations.

Key Responsibilities

• Collect, analyze, and interpret financial and operational data.
• Develop financial models, forecasts, and budgeting reports.
• Monitor key performance indicators (KPIs) and identify business trends.
• Prepare monthly, quarterly, and annual financial reports.
• Conduct variance analysis and provide recommendations for improvement.
• Create dashboards and visual reports using business intelligence tools.
• Collaborate with cross-functional teams to support strategic initiatives.
• Ensure data accuracy, consistency, and compliance with financial regulations.
• Assist in financial planning, risk assessment, and investment analysis.
• Identify opportunities to improve reporting processes and operational efficiency.

Required Qualifications

• Bachelor's degree in Finance, Accounting, Economics, Data Analytics, Statistics, or a related field.
• 2+ years of experience in financial analysis, business analysis, or data analytics.
• Advanced proficiency in Microsoft Excel.
• Experience with SQL and data visualization tools such as Power BI or Tableau.
• Strong understanding of financial statements, forecasting, and budgeting principles.
• Excellent analytical, problem-solving, and communication skills.
• Ability to manage multiple priorities in a fast-paced environment.

Preferred Qualifications

• Master's degree in Finance, Business Analytics, or a related discipline.
• Professional certifications such as CFA, CPA, FMVA, or similar credentials.
• Experience with ERP systems and financial reporting software.
• Knowledge of Python or R for advanced financial analysis.

Benefits

• Competitive salary package.
• Health, dental, and vision insurance.
• Paid time off and company holidays.
• Retirement savings plan with employer contribution.
• Professional development and certification support.
• Flexible work arrangements and career advancement opportunities.

Equal Opportunity Employer

We are committed to creating an inclusive workplace and welcome applications from qualified candidates regardless of race, color, religion, gender, age, disability, veteran status, sexual orientation, or any other protected characteristic under applicable law.

 

Job Overview

We are seeking a highly motivated Bio-Cybersecurity Specialist to protect and secure biological, healthcare, and research systems from emerging cyber threats. The ideal candidate will have expertise in cybersecurity principles, risk management, biomedical technologies, and regulatory compliance to safeguard sensitive biological data, laboratory environments, and healthcare infrastructure.

As a Bio-Cybersecurity Specialist, you will collaborate with cross-functional teams including cybersecurity professionals, researchers, healthcare organizations, and IT departments to identify vulnerabilities, implement security controls, and ensure the integrity of biological and medical systems.

Key Responsibilities

• Assess cybersecurity risks associated with biotechnology, healthcare, and laboratory systems.
• Monitor, detect, investigate, and respond to cyber threats targeting biological data and research environments.
• Conduct vulnerability assessments and penetration testing of healthcare and laboratory networks.
• Develop and implement security policies, procedures, and best practices for biomedical systems.
• Protect sensitive patient, genomic, and research data from unauthorized access and cyberattacks.
• Support compliance initiatives related to HIPAA, NIST, FDA cybersecurity guidance, and other applicable regulations.
• Collaborate with IT, research, and clinical teams to enhance cybersecurity awareness and resilience.
• Analyze emerging threats affecting healthcare, biotechnology, and life sciences sectors.
• Maintain incident response plans and participate in security audits and risk assessments.
• Prepare reports, documentation, and security recommendations for leadership and stakeholders.

Required Qualifications

• Bachelor's degree in Cybersecurity, Information Security, Bioinformatics, Biomedical Engineering, Computer Science, or a related field.
• 3+ years of experience in cybersecurity, healthcare security, biotechnology security, or related areas.
• Strong understanding of network security, threat detection, incident response, and vulnerability management.
• Familiarity with healthcare systems, laboratory environments, or biomedical technologies.
• Knowledge of HIPAA, NIST Cybersecurity Framework, and healthcare security standards.
• Experience with SIEM tools, endpoint protection platforms, and security monitoring solutions.
• Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications

• Master's degree in Cybersecurity, Bioinformatics, Biomedical Engineering, or related discipline.
• Industry certifications such as CISSP, CISM, CEH, Security+, HCISPP, or GIAC certifications.
• Experience working with medical devices, clinical systems, genomic data, or biotechnology research environments.
• Understanding of cloud security and secure data management practices.

Technical Skills

• Cybersecurity Risk Assessment
• Incident Response
• Vulnerability Management
• Network Security
• Security Monitoring & SIEM
• Threat Intelligence
• Healthcare & Biomedical Security
• HIPAA Compliance
• NIST Framework
• Cloud Security
• Security Auditing

Benefits

• Competitive salary package
• Health, dental, and vision insurance
• 401(k) retirement plan
• Paid time off and holidays
• Professional development opportunities
• Remote work flexibility
• Career advancement programs

Equal Opportunity Employer

We are committed to fostering an inclusive workplace and welcome applicants from diverse backgrounds. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job Overview

We are looking for a visionary Enterprise AI Leader / Director of AI to drive organization-wide AI strategy and transformation. This role is responsible for leading AI initiatives, aligning technology with business goals, and establishing a scalable and future-ready AI ecosystem.

You will act as a strategic decision-maker, guiding teams and stakeholders in adopting AI to create measurable business impact.

Key Responsibilities

• Define and execute the enterprise AI strategy and roadmap

• Ensure clear enterprise AI positioning aligned with business objectives

• Lead and manage cross-functional AI teams (data science, engineering, product)

• Drive AI adoption and digital transformation across departments

• Establish structured AI architecture alignment across all initiatives

• Oversee development and deployment of AI/ML solutions at scale

• Implement AI governance, compliance, and ethical AI frameworks

• Collaborate with executive leadership and key stakeholders

• Identify new AI opportunities to improve efficiency, revenue, and innovation

• Monitor performance, ROI, and impact of AI initiatives

Requirements

• Proven experience in leading enterprise AI or data-driven transformation

• Strong background in AI/ML, data platforms, and cloud technologies

• Demonstrated leadership in managing large, cross-functional teams

• Experience with enterprise-scale AI architecture and deployment

• Deep understanding of business strategy and AI alignment

• Recognized certifications in AI, cloud, or leadership (preferred)

• Excellent communication and stakeholder management skills

• Ability to define and maintain clear enterprise AI positioning

Preferred Qualifications

• Experience in C-level or director-level AI roles

• Knowledge of Generative AI, LLMs, and advanced analytics

• Background in AI governance, risk management, and compliance

• Experience driving ROI-focused AI initiatives

What We Offer

• Competitive executive salary ($180K – $250K+)

• Opportunity to lead enterprise-wide AI transformation

• High-impact leadership role with strategic decision-making power

• Collaborative and innovation-driven environment

Who Should Apply?

Leaders who are passionate about driving AI strategy, leading innovation, and transforming businesses through AI at scale.

Job Summary

We are seeking a highly skilled AI Infrastructure Engineer to design, implement, and maintain scalable infrastructure that supports artificial intelligence and machine learning workloads. The ideal candidate will have experience with cloud platforms, high-performance computing (HPC), GPU environments, containerization, and infrastructure automation. You will play a critical role in ensuring the reliability, performance, and scalability of AI systems used across the organization.

Key Responsibilities

• Design, deploy, and manage AI/ML infrastructure environments for training and inference workloads.
• Build and maintain high-performance computing (HPC) clusters optimized for AI applications.
• Configure and manage GPU-based systems and distributed computing environments.
• Optimize storage, networking, and compute resources to maximize performance and cost efficiency.
• Implement infrastructure automation using Infrastructure as Code (IaC) tools.
• Monitor system performance, availability, and security across AI platforms.
• Collaborate with Data Scientists, ML Engineers, and Software Developers to support AI model deployment and operations.
• Troubleshoot infrastructure bottlenecks and performance issues.
• Ensure platform scalability, reliability, disaster recovery, and business continuity.
• Manage containerized workloads using Kubernetes and Docker.
• Maintain cloud-based AI environments on AWS, Azure, or Google Cloud Platform.
• Establish security best practices for AI infrastructure and sensitive data.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 3+ years of experience in cloud infrastructure, DevOps, Site Reliability Engineering (SRE), or AI platform engineering.
• Strong knowledge of Linux system administration.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Hands-on experience with Kubernetes, Docker, and container orchestration.
• Understanding of GPU computing technologies such as NVIDIA CUDA and GPU clusters.
• Experience with infrastructure automation tools like Terraform, Ansible, or CloudFormation.
• Knowledge of networking, storage systems, and distributed computing concepts.
• Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or JAX.

Preferred Qualifications

• Experience managing large-scale AI training environments.
• Knowledge of MLOps practices and tools.
• Experience with monitoring tools such as Prometheus, Grafana, ELK Stack, or Datadog.
• Familiarity with Apache Spark, Ray, or distributed AI frameworks.
• Relevant cloud certifications (AWS, Azure, or GCP).

Technical Skills

• Linux Administration
• Kubernetes & Docker
• Terraform / Ansible
• AWS / Azure / GCP
• GPU Infrastructure Management
• Python, Bash, or Go
• Networking & Storage Systems
• Monitoring & Observability
• CI/CD Pipelines
• AI/ML Platform Engineering

Salary Range

• Typical Salary: $170,000 – $230,000+ per year (depending on experience, location, and expertise)

Benefits

• Competitive compensation package
• Performance bonuses
• Health, dental, and vision insurance
• Remote or hybrid work options
• Professional development and certification support
• Access to cutting-edge AI technologies and projects

Job Overview

We are seeking an Insurance AI Specialist to develop and implement Artificial Intelligence solutions for the insurance industry. The candidate will help improve risk assessment, fraud detection, claims processing, and customer service using AI technologies.

Key Responsibilities

• Develop AI models for insurance risk analysis and prediction

• Automate claims processing using machine learning

• Build AI systems for fraud detection

• Analyze large insurance datasets to identify patterns and trends

• Work with data scientists and insurance teams to improve decision-making

• Implement AI-powered chatbots and automation tools

Required Skills

• Knowledge of Artificial Intelligence and Machine Learning

• Experience with Python, R, or data science tools

• Strong understanding of data analysis and predictive modeling

• Familiarity with insurance processes and risk management (preferred)

Qualifications

• Bachelor’s or Master’s degree in Data Science, AI, Computer Science, or related field

• Experience with machine learning frameworks (TensorFlow, Scikit-learn, etc.)

• Strong analytical and problem-solving skills

Benefits

• Competitive salary package

• Opportunity to work on AI-driven insurance technologies

• Professional development opportunities

• Innovative and collaborative work environment

About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM+Trust. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place!  

Impact - Responsibilities

• Develop and execute audit strategies to ensure compliance with global standards and regulatory requirements.
• Partner directly with engineering leaders, and become familiar with their processes covering multiple domains.
• Act as the primary liaison between external audit requests and engineering. Be able to lead walkthroughs with external assessors as needed.
• Partner with cross-functional teams to execute audit recommendations and strengthen compliance preparedness.
• Document detailed playbooks on processes and domains that can be leveraged for assessments.
• Help drive automation efforts and continuous improvement projects to boost the efficiency of audit processes.
• Deliver consistent reports to leadership on audit outcomes, emerging trends, and potential compliance risks.

 

Minimum Qualifications

• 3-5 years of experience managing global compliance assessments in a complex environment.
• Prior experience in a compliance and regulatory environment related to security and privacy including security compliance standards across industries and geographies such as ISO 27001, SOC, HIPAA, PCI, HITRUST, and FedRAMP, etc.
• Project management and stakeholder management experience.
• Technical knowledge and understanding of different hyperscaler environments such as AWS.
• Experience with compliance automation tools and processes.

  Required Qualifications

• Strong Analytical and problem solving skills with the ability to assess risks and recommend solutions.
• Detail oriented with strong organizational and documentation skills.
• Ability to solve unique, complex and often ambiguous problems with broad impact on the business
• Conceptual and innovative thinking to develop and implement solutions
• Ability to work independently and collaboratively in a fast paced regulatory environment.
• Identify risk in processes and environments, and strategies to mitigate the risk.

Preferred Qualifications:

• Certifications (CRISC, CISSP, CCIE, CISM, CISA, CCSK) are a plus

Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .   Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

Job Overview

We are seeking a talented and analytical Data Scientist to join our growing team. The ideal candidate will be responsible for analyzing large datasets, developing predictive models, and transforming complex data into actionable business insights. You will work closely with cross-functional teams to drive data-driven decision-making and support strategic business initiatives.

Key Responsibilities

• Analyze large and complex datasets to identify trends, patterns, and opportunities.
• Develop, test, and deploy machine learning and statistical models.
• Create predictive analytics solutions to improve business performance.
• Design and maintain dashboards, reports, and visualizations.
• Collaborate with business stakeholders to understand requirements and deliver data-driven recommendations.
• Perform data cleaning, validation, and preprocessing to ensure data quality.
• Communicate findings and insights to technical and non-technical audiences.
• Stay current with industry trends, tools, and best practices in Data Science and Artificial Intelligence.

Required Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 2+ years of experience in Data Science, Machine Learning, or Analytics.
• Strong proficiency in Python, SQL, and data analysis libraries.
• Experience with Machine Learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of statistical analysis and predictive modeling techniques.
• Experience with data visualization tools such as Power BI, Tableau, or Looker.
• Excellent problem-solving and communication skills.

Preferred Qualifications

• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of Big Data technologies including Spark, Hadoop, or Databricks.
• Experience working with Generative AI and Large Language Models (LLMs).

Benefits

• Competitive salary and performance bonuses.
• Health, dental, and vision insurance.
• Paid time off and company holidays.
• Professional development and certification support.
• Flexible work environment.
• Career growth opportunities in AI and Data Science.

Career Path

Data Scientist → Senior Data Scientist → Lead Data Scientist → AI/ML Manager → Director of Data Science

Job Overview:

We are looking for a skilled Data Engineer with hands-on experience in AI projects. The ideal candidate will design, build, and optimize data pipelines and architectures to support AI and machine learning initiatives. You will work closely with data scientists and AI specialists to ensure seamless data integration, processing, and accessibility.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines for AI and ML projects.

• Collect, clean, and preprocess large datasets for training and analysis.

• Collaborate with AI teams to support model development and deployment.

• Optimize data storage, retrieval, and workflow performance.

• Implement best practices for data security, integrity, and quality.

• Document data processes and provide technical guidance to team members.

Requirements from Candidates:

• Proven experience in 4–5 AI-related projects.

• Certifications:

  • AI-101 (Foundations of AI)

  • AI-900 (Microsoft Azure AI Fundamentals)

  • DP-100 (Designing and Implementing a Data Science Solution on Azure)

• Strong programming skills in Python, SQL, or R.

• Familiarity with cloud platforms (Azure, AWS, GCP) and data engineering tools (ETL frameworks, Hadoop, Spark).

• Good understanding of AI, machine learning, and neural networks.

• Strong problem-solving, analytical, and communication skills.

Preferred Skills:

• Experience in AI model deployment and operationalization.

• Knowledge of data warehousing and database management systems.

• Ability to work independently and as part of a cross-functional team.

Benefits:

• Competitive compensation per project ($250–$350).

• Opportunities to work on cutting-edge AI projects.

• Flexible work environment and collaborative team cu

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:

• Analyze datasets and algorithms for bias, fairness, and representativeness.

• Design ethical frameworks for AI and data usage.

• Work with data scientists, engineers, and product teams to implement responsible AI practices.

• Develop tools and metrics to audit models for ethical risk (e.g., fairness, privacy, transparency).

• Collaborate with legal and compliance teams to ensure adherence to regulations like GDPR, CCPA, or AI-specific laws.

• Educate stakeholders on data ethics principles.

Required Skills:

• Strong foundation in data science and machine learning.

• Understanding of ethical theory, philosophy, or AI ethics.

• Experience with explainable AI (XAI) tools and fairness libraries (e.g., IBM AIF360, SHAP, LIME).

• Ability to communicate complex ideas to non-technical stakeholders.

• Familiarity with privacy-enhancing technologies (e.g., differential privacy, federated learning).

We are seeking a motivated Data Science Analyst to join our team. The ideal candidate will transform data into actionable insights, support decision-making, and contribute to data-driven strategies across the organization. You will work with large datasets, perform statistical analysis, and develop reports and dashboards to help stakeholders make informed business decisions.

Key Responsibilities:

• Collect, clean, and analyze large datasets from multiple sources.

• Perform statistical analyses to identify trends, patterns, and correlations.

• Develop dashboards, visualizations, and reports for business teams.

• Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.

• Support the development of predictive models and machine learning projects.

• Communicate findings effectively to non-technical stakeholders.

• Monitor and improve the quality and integrity of data sources.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field.

• Strong knowledge of Python, R, or SQL.

• Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.

• Solid understanding of statistics, probability, and data analysis techniques.

• Excellent problem-solving and analytical skills.

• Strong communication skills to present insights clearly.

Preferred Skills:

• Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch).

• Familiarity with cloud platforms (AWS, Azure, GCP).

• Knowledge of big data tools (Hadoop, Spark).

• Prior experience in business analytics or a similar role.

Benefits:

• Competitive salary and performance bonuses.

• Flexible work environment and remote options.

• Opportunities for professional growth and training.

• Collaborative and innovative team culture.

Job Overview

We are looking for a Cloud AI Engineer to build, deploy, and manage AI and Machine Learning solutions on cloud platforms. The successful candidate will optimize cloud infrastructure, automate AI workflows, and ensure high-performance AI applications.

Key Responsibilities

• Deploy AI and Machine Learning models on AWS, Azure, and Google Cloud.
• Build scalable cloud-native AI applications and APIs.
• Implement MLOps pipelines for continuous integration and deployment.
• Manage cloud infrastructure, storage, networking, and security.
• Monitor model performance and optimize cloud resources.
• Collaborate with data scientists and software engineers to productionize AI solutions.
• Automate workflows using Infrastructure as Code (Terraform, CloudFormation).

Required Qualifications

• Bachelor's degree in Computer Science, Cloud Computing, Engineering, or related field.
• 3+ years of experience in cloud engineering or AI infrastructure.
• Strong knowledge of AWS, Azure, or Google Cloud services.
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Proficiency in Python and cloud automation tools.
• Understanding of Machine Learning lifecycle and model deployment.

Preferred Skills

• Experience with Generative AI and LLM deployment.
• Knowledge of Databricks, Vertex AI, SageMaker, or Azure AI Services.
• Cloud certifications (AWS, Azure, GCP).

Benefits

• Competitive salary ($110K–$160K)
• Remote work opportunities
• Paid training and certification support
• Health and wellness benefits
• Annual performance bonuses