UNKNOWN

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Key Responsibilities: Partner with HR leaders and subject-matter experts to understand current workflows, pain points, and success measures (e.g., Talent Acquisition, HR Operations, HR Technology/HRIS, Learning, Analytics, Compliance). Research and benchmark AI use cases relevant to HR (e.g., knowledge assistants for policies, workflow nudges, recruiting/onboarding automation, survey insights, HR analytics) and summarize findings in clear, non-technical language.

<div>The AI Implementation Planning Intern will support the Human Resources team by researching practical AI opportunities, documenting current-state HR processes, and developing a structured AI implementation plan. This role focuses on analysis, stakeholder input, and recommendations (not independent system changes) and is ideal for a student interested in HR transformation, analytics, and responsible AI. How You’ll Make An Impact:  Key Responsibilities:<ul><li>Partner with HR leaders and subject-matter experts to understand current workflows, pain points, and success measures (e.g., Talent Acquisition, HR Operations, HR Technology/HRIS, Learning, Analytics, Compliance).</li><li>Research and benchmark AI use cases relevant to HR (e.g., knowledge assistants for policies, workflow nudges, recruiting/onboarding automation, survey insights, HR analytics) and summarize findings in clear, non-technical language.</li><li>Inventory existing tools and systems and document potential integration considerations at a high level (e.g., where data lives, key stakeholders, dependencies).</li><li>Evaluate opportunities using a simple framework (impact/value, effort, risk, data readiness, change management considerations).</li><li>Draft an AI implementation plan/roadmap that includes prioritized use cases, recommended pilots, timeline, roles/responsibilities, governance, and a measurement approach.</li><li>Identify responsible AI considerations (privacy, security, bias/fairness, transparency, human oversight) and propose mitigations and decision points.</li><li>Create presentation materials and facilitate readouts to HR stakeholders; incorporate feedback into final recommendations.</li></ul>Expected Deliverables:<ul><li>AI opportunity scan for HR (use-case list with brief descriptions and examples).</li><li>Current-state summary (key HR processes reviewed, pain points, and constraints).</li><li>Prioritization matrix/scoring and recommended shortlist of pilot candidates.</li><li>AI implementation plan (phases, timeline, stakeholders, dependencies, governance, risks, and success metrics).</li><li>Final presentation for HR leadership summarizing recommendations and next steps.</li></ul>What You Bring:  Required Qualifications:<ul><li>Currently enrolled in a Bachelor’s program (or Master’s program) in Human Resources, Business, Information Systems, Data/Business Analytics, Computer Science, or a related field.</li><li>Strong research, writing, and presentation skills with attention to detail.</li><li>Ability to translate technical concepts into clear summaries for non-technical audiences.</li><li>Comfort working with ambiguity, asking good questions, and organizing information into structured outputs (e.g., plans, tables, slides).</li><li>Proficiency with Microsoft 365 (Word, PowerPoint, Excel).</li><li>Professional discretion and ability to handle sensitive information appropriately.</li><li>3.0 Minimum GPA.</li><li>Rising Juniors, Seniors, and Masters Students.</li><li>Be willing to make a full-time commitment of 40 hours a week for 9 weeks from June 15 to August 14, 2026.</li></ul>Preferred Qualifications:<ul><li>Coursework or experience in AI/ML fundamentals, generative AI, process improvement, or product/project management.</li><li>Familiarity with HR systems (e.g., ATS, HRIS) and common HR processes (recruiting, onboarding, performance, learning, employee relations).</li><li>Experience conducting interviews, surveys, or qualitative analysis; ability to synthesize themes from stakeholder input.</li><li>Basic analytical skills (e.g., building simple Excel models, creating charts, defining KPIs).</li><li>Interest in responsible AI, data privacy, and technology governance.</li></ul>Learning Opportunities:<ul><li>Exposure to HR strategy, HR technology, and cross-functional stakeholder management.</li><li>Hands-on experience building an implementation roadmap and defining pilot success metrics.</li><li>Understanding of how organizations evaluate AI use cases, manage risk, and drive adoption.</li></ul>Location: This position must be based in Hercules, California and requires the employee to be located within commuting distance of the office. Total Rewards Package: At Bio-Rad, we’re empowered by our purpose and recognize that our employees are as well. That’s why we offer a competitive and comprehensive Total Rewards Program that provides value, quality, and inclusivity while satisfying the diverse needs of our evolving workforce. Bio-Rad's robust offerings serve to enrich the overall health, wealth, and wellbeing of our employees and their families through the various stages of an employee’s work and life cycle. Benefits: We’re proud to offer a variety of options, including competitive medical plans for you and your family, free HSA funds, a new fertility offering with stipend, group life and disability,  paid parental leave, 401k plus profit sharing, an employee stock purchase program, a new upgraded and streamlined mental health platform, extensive learning and development opportunities, education benefits, student debt relief program, pet insurance, wellness challenges and support, paid time off, Employee Resource Groups (ERG’s), and more!  Compensation: The hourly range for this position is $25 at the time of posting. Actual compensation will be provided in writing at the time of offer, if applicable, and is based on several factors we believe fairly and accurately impact compensation, including geographic location, experience, knowledge, skills, abilities, and other job permitted factors.Who We Are: For 70 years, Bio-Rad has focused on advancing the discovery process and transforming the fields of science and healthcare. As one of the top five life science companies, we are a global leader in developing, manufacturing, and marketing a broad range of high-quality research and clinical diagnostic products. We help people everywhere live longer, healthier lives. Bio-Rad offers a unique employee experience with collaborative teams that span the globe. Here, you are supported by leadership to build your career and are empowered to drive change that makes an impact you can see.  EEO Statement: Bio-Rad is an Equal Employment Opportunity/Affirmative Action employer, and we welcome candidates of all backgrounds. Veterans, people with physical or mental disabilities, and people of all race, color, sex, sexual orientation, gender identity, religion, national origin and citizenship status are encouraged to apply. Agency Non-Solicitation: Bio-Rad does not accept agency resumes, unless the agency has been authorized by a Bio-Rad Recruiting Representative. Please do not submit resumes unless authorized to do so. Bio-Rad will not pay for any fees related to unsolicited resumes. Fraud Alert: Bio-Rad has received reports of individuals posing as Bio-Rad recruiters to obtain information, including personal and financial, from applicants. Beware of these fake "recruiters" and job scams. <a href="https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcareers.bio-rad.com%2Fonline-recruitment-fraud-alert&data=05%7C02%7Cralph_boquilon%40bio-rad.com%7C8d9650cd4e8f46d99f8c08dc4acbdd6c%7Cef0aebeb2af047a3b8ae5665f8a62d11%7C0%7C0%7C638467486669437441%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=wjGJlszw7FfJBcWTjjq2gGZMbgtTzBbFV5I7P%2F9aW0o%3D&reserved=0" rel="nofollow noopener noreferrer" target="_blank">Click here</a> for more information on this scam and how to avoid it.</div><div>Legal Entity: (USA_1000)Bio-Rad Laboratories, Inc.</div>

Bio-Rad Laboratories, Inc.

AI Implementation Planning Intern

Analysis Skills

Artificial Intelligence (AI)

Automation

Benchmarking

Biology

Business Analysis

Change Management

Clinical Research

Computer Science

Cross-Functional

Data Analysis

Detail Oriented

Documentation

Employee Relations

Establish Priorities

HRIS/HRMS

Healthcare

Healthcare Quality

Human Resources

Human Resources Analytics

Human Resources Processes

Human Resources Strategy

Information Technology & Information Systems

Interviewing Skills

Laboratory

Leadership

Legal

Manufacturing

Marketing

Medical Products

Metrics

Microsoft Excel

Microsoft PowerPoint

Microsoft Product Family

Microsoft Word

Onboarding

Performance Metrics

Presentation/Verbal Skills

Privacy Controls

Process Improvement

Product Management

Project/Program Management

Qualitative Analysis

Risk

Risk Management

Sales Qualification

Technical Operations

Technical Strategy

Use Cases

Writing Skills

PageUp

Responsibilities:Design and build scalable AI/ML platform components across on-prem and public cloud environments including Google Cloud Platform, GKE, OpenShift AI (RHOAI), and IBM Cloud Pak for Data for multi-tenant operations. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes.

HOUR

Description: Hybrid 3 days/week in Concord, CA Our client seeks a Senior/Lead Generative AI Platform Engineer to design, implement, and scale enterprise AI/ML platforms across hybrid cloud. The role will architect secure, cost-optimized, and high-performance environments for LLMs and classical ML, spanning compute, storage, networking, and MLOps. The engineer will drive orchestration, observability, and reliability for large-scale workloads while enabling data science through robust tooling and pipelines. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $84.00 to $94.00/hr. w2 JN -08 #LI-JS1 Responsibilities:<ul><li>Design and build scalable AI/ML platform components across on-prem and public cloud environments including Google Cloud Platform, GKE, OpenShift AI (RHOAI), and IBM Cloud Pak for Data for multi-tenant operations.</li><li>Architect hybrid CPU/GPU grid computing, object and high-performance storage, and low-latency networking to support demanding AI workloads.</li><li>Deploy and manage enterprise AI tooling including H2O AI platforms (Driverless AI) for automated model development and data virtualization.</li><li>Implement and administer Run:ai to optimize GPU/CPU utilization with high-throughput and low-latency scheduling for training and inference.</li><li>Operationalize end-to-end LLM and classical ML pipelines using Vertex AI with CI/CD, automated validation, and observability.</li><li>Build and maintain vector databases, chunking, and embedding strategies to enable RAG-based applications.</li><li>Deploy and manage Istio service mesh for secure, observable, and resilient service-to-service and AI API communication.</li><li>Apply SRE practices including circuit breakers, autoscaling, and reliability patterns to ensure system health.</li><li>Lead cross-functional architecture discussions and influence platform direction and standards.</li></ul> Experience Requirements:<ul><li>5+ years of Python programming and 3+ years of MLOps experience in production environments.</li><li>5+ years with Big Data platforms such as BigQuery or Hadoop and 3+ years with PySpark.</li><li>2+ years building APIs, preferably with FastAPI, and integrating with Google Cloud Platform/Azure or API gateways.</li><li>Expertise with containerization and orchestration including Google Cloud Platform, GKE, Red Hat OpenShift, and Docker with service mesh integration.</li><li>Hands-on experience with Vertex AI for pipelines and IBM Cloud Pak for Data for enterprise data management.</li><li>Strong understanding of LLMs and vector databases, plus working knowledge of AutoML platforms such as H2O Driverless AI or DataRobot.</li><li>Advanced IaC skills with Terraform, Helm, or Ansible for automating cloud landing zones and cluster configurations.</li><li>Proficiency in PySpark, Hadoop, or BigQuery for high-throughput data processing and vectorization pipelines.</li><li>Experience with RAG, prompt orchestration, fine-tuning, and safety/guardrails (preferred).</li><li>Deep understanding of GPU/CPU orchestration and high-performance storage for AI workloads (preferred).</li><li>Ability to lead cross-functional architecture forums and influence senior stakeholders (preferred).</li><li>Familiarity with Agile methodologies and enterprise project management tools (preferred).</li></ul> Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range. W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc. Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Eliassen Group is a leading strategic consulting company that provides business and IT services for our clients as they seek to transform and execute strategies that will drive exceptional outcomes. Leveraging over 30 years of success, we focus on professional services, talent solutions, and life sciences. Eliassen Group offers local community presence and deep networks. We are committed to positively impacting the lives of our employees, clients, consultants, and the communities in which we operate.
 
Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Eliassen Group

Senior/Lead Generative AI Platform Engineer

Agile Programming Methodologies

Ansible

Apache Hadoop

Application Programming Interface (API)

Autoscaling

Big Data

CPU (Central Processing Unit)

Circuit Breakers

Cloud Computing

Consulting

Continuous Deployment/Delivery

Continuous Integration

Cost Control

Data Management

Data Modeling

Data Processing

Data Science

Database Administration

Dental Insurance

Docker

GPU (Graphics Processing Unit)

Genetics

Grid Computing

High Throughput

Hybrid Cloud

IBM Product Family

Machine Tool

Microsoft Windows Azure

Military

Network Support

Production Systems

Project Management Software

Public Cloud

Python Programming/Scripting Language

Red Hat Linux Operating System

Scalable System Development

Shallow Parsing

Team Player

Virtualization

Yahoo!

IRecruitee

FULL_TIME

Preferred Skills 1+ years of experience in LLM, Generative AI (developing capabilities or dev/ops) Experience in developing APIs on GCP/Azure/API Gateways Experience with data processing technology (Apache Spark etc.) Experience with data virtualization technology (Tibco DV, Dremio, etc.) Understanding of Agile practices and ability to work with Agile teams to define and track user stories. 3+ years of experience with Azure and/or GCP/GKE, as well as experience building complex infrastructure programmatically with IaC tools (Terraform/Ansible etc.) 1+ years of experience designing solutions and working with high-performance storage technologies including Object Storage.

AI/ML Infrastructure Engineer 1755 Grant St Concord California 94520 (3 days onsite in week) 12+ Months Web Cam Interview $90-95/Hr on W2 Role:- Lead and design the platform and infrastructure architecture for AIML and NLP in modern hybrid cloud computing. Participate in day-to-day standups for infrastructure and platform scrums , provide architectural solutions for public and private cloud and resolve technical blockers for the team. Collaborate and work very closely with the engineering strategy, platform engineering and development teams to understand the infrastructure requirements and drive all aspects of AIML and GENAI solution delivery to the cloud platforms. Lead teams within DTI and across the enterprise in researching and proposing highly available, resilient and fault tolerant infrastructure solutions for AIML and GENAI workloads. Define and drive infrastructure and platform roadmaps that align with technology and business strategy. Perform hardware and capacity planning, analysis, and forecasts for your portfolio of applications with focus on highest availability, scalability, performance, and timely delivery. Provide SME guidance around infrastructure and platform for product and business partners. Research industry best practices, evaluate new technologies, develop standards and engineering best practices and recommend innovative solutions that support automation and improve platform resiliency and fault tolerance of critical applications. Minimum Requirements 3+ years of experience in leading the design and implementation of grid/cluster computing infrastructure with CPU and GPUs supporting AIML and NLP workloads . 3+ years of experience with Azure and/or GCP/GKE, as well as experience building complex infrastructure programmatically with IaC tools (Terraform/Ansible etc.) 1+ years of experience designing solutions and working with high-performance storage technologies including Object Storage. 2+ years of experience working and supporting network infrastructure for high throughput and low latency High performance (HPC) computing. 2+ years of experience with Elastic Search 1+ years of working with big data (Big Query) Working knowledge and understanding of developing APIs using Python. Excellent understanding and working knowledge of cloud computing concepts like Virtual Private Cloud (VPC), landing zone, Identity and Access Management (IAM), App Service Environment, Blueprints, Control Plane etc. Excellent verbal, written, and interpersonal communication skills. Ability to articulate technical solutions to both technical and business audiences. Recent and demonstrated ability to influence management on technical or business solutions. Experience with CI/CD, DevOps concepts and SRE principles. Preferred Skills 1+ years of experience in LLM, Generative AI (developing capabilities or dev/ops) Experience in developing APIs on GCP/Azure/API Gateways Experience with data processing technology (Apache Spark etc.) Experience with data virtualization technology (Tibco DV, Dremio, etc.) Understanding of Agile practices and ability to work with Agile teams to define and track user stories. Experience with designing and implementing complex F5 or other Load Balancer Technologies Knowledge and understanding of Cloud computing, PaaS design principles and micro services and k8s containers. Cloud certifications K8s, GCP & Azure preferred.

Syntricate Technologies

AI/ML Infrastructure Engineer

Apache Spark

Architectural Services

Best Practices

Blueprints

Business Solutions

Business Strategy

Capacity Analysis

Capacity Management

Communication Skills

DevOps

Elasticsearch

F5 Network Software

Forecasting

GCP (Good Clinical Practices)

High Availability

Identity Data Management

Interpersonal Skills

Load Balancing

Microservices

Natural Language Processing (NLP)

Network Administration/Management

Platform as a Service (PaaS)

Private Cloud

Problem Solving Skills

Scrum Project Management and Software Development

Standards Development

TIBCO Product family

Team Lead/Manager

Time Management

User Interface/Experience (UI/UX)

Webcams

ADAPTED_NOW

Collaborate and work very closely with the engineering strategy, platform engineering and development teams to understand the infrastructure requirements and drive all aspects of AIML and GENAI solution delivery to the cloud platforms. Excellent understanding and working knowledge of cloud computing concepts like Virtual Private Cloud (VPC), landing zone, Identity and Access Management (IAM), App Service Environment, Blueprints, Control Plane etc.

<div> AI/ML Infrastructure Engineer 1755 Grant St Concord California 94520 (3 days onsite in week) 12+ Months Web Cam Interview $90-95/Hr on W2 Role:-<ul><li> Lead and design the platform and infrastructure architecture for AIML and NLP in modern hybrid cloud computing.</li><li> Participate in day-to-day standups for infrastructure and platform scrums , provide architectural solutions for public and private cloud and resolve technical blockers for the team.</li><li> Collaborate and work very closely with the engineering strategy, platform engineering and development teams to understand the infrastructure requirements and drive all aspects of AIML and GENAI solution delivery to the cloud platforms.</li><li> Lead teams within DTI and across the enterprise in researching and proposing highly available, resilient and fault tolerant infrastructure solutions for AIML and GENAI workloads.</li><li> Define and drive infrastructure and platform roadmaps that align with technology and business strategy. Perform hardware and capacity planning, analysis, and forecasts for your portfolio of applications with focus on highest availability, scalability, performance, and timely delivery.</li><li> Provide SME guidance around infrastructure and platform for product and business partners.</li><li> Research industry best practices, evaluate new technologies, develop standards and engineering best practices and recommend innovative solutions that support automation and improve platform resiliency and fault tolerance of critical applications.</li></ul> Minimum Requirements<ul><li> 3+ years of experience in leading the design and implementation of grid/cluster computing infrastructure with CPU and GPUs supporting AIML and NLP workloads .</li><li> 3+ years of experience with Azure and/or GCP/GKE, as well as experience building complex infrastructure programmatically with IaC tools (Terraform/Ansible etc.)</li><li> 1+ years of experience designing solutions and working with high-performance storage technologies including Object Storage.</li><li> 2+ years of experience working and supporting network infrastructure for high throughput and low latency High performance (HPC) computing.</li><li> 2+ years of experience with Elastic Search </li><li> 1+ years of working with big data (Big Query)</li><li> Working knowledge and understanding of developing APIs using Python.</li><li> Excellent understanding and working knowledge of cloud computing concepts like Virtual Private Cloud (VPC), landing zone, Identity and Access Management (IAM), App Service Environment, Blueprints, Control Plane etc.</li><li> Excellent verbal, written, and interpersonal communication skills. Ability to articulate technical solutions to both technical and business audiences.</li></ul><ul><li> Recent and demonstrated ability to influence management on technical or business solutions.</li><li> Experience with CI/CD, DevOps concepts and SRE principles.</li></ul> Preferred Skills<ul><li> 1+ years of experience in LLM, Generative AI (developing capabilities or dev/ops)</li><li> Experience in developing APIs on GCP/Azure/API Gateways</li></ul><ul><li> Experience with data processing technology (Apache Spark etc.)</li><li> Experience with data virtualization technology (Tibco DV, Dremio, etc.)</li><li> Understanding of Agile practices and ability to work with Agile teams to define and track user stories.</li><li> Experience with designing and implementing complex F5 or other Load Balancer Technologies</li><li> Knowledge and understanding of Cloud computing, PaaS design principles and micro services and k8s containers.</li><li> Cloud certifications K8s, GCP & Azure preferred.</li></ul></div>

Syntricate Technologies Inc

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AI Implementation Planning InternBio-Rad Laboratories, Inc.

Senior/Lead Generative AI Platform EngineerEliassen Group

AI/ML Infrastructure EngineerSyntricate Technologies

AI/ML Infrastructure EngineerSyntricate Technologies Inc

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