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applied ai ml vice president

JPMorganChase

<div>JOB DESCRIPTION 
Job Description
Are you looking for an exciting opportunity to solve exciting business problems? Our Technology team builds innovative products, services, applications to support various business functions, workflows of Wholesale Lending Services.
As an Applied AI/ML Vice President within the Corporate and Investment Bank (CIB) Technology team at JPMorgan Chase, you will lead the analysis of complex business problems, design and experiment with state-of-the-art models, and develop robust machine learning and deep learning solutions. You will apply your expertise in machine learning toolkits and algorithms to identify, build, and deliver fit-for-purpose solutions that promote measurable business impact. As a part of an innovative, cross-functional team, you will collaborate closely with product owners, data engineers, and software engineers to architect and implement new systems and capabilities. This role is ideal for someone with a strong passion for data, machine learning, and software development, who can navigate and interpret the data landscape of large, complex organizations to unlock actionable insights and scalable AI solutions.
Job Responsibilities<ul><li>
Lead programs and provide directions to successfully implement the large AI/ML initiatives</li><li>
Assist product leadership in defining the problem statements, execution roadmap</li><li>
Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, personalization, or recommendation systems.</li><li>
Collaborate with business, operations, and other technology colleagues to understand AI needs and devise possible solutions.</li><li>
Develop end-to-end ML/AutoML/AutoNLP pipelines and operationalize the end-to-end orchestration of the ML models to support the various use cases like Document Q&amp;A, Search, Information Retrieval, classification, personalization, etc.</li><li>
Build both batch and real-time model prediction pipelines with existing application and front-end integrations.</li><li>
Collaborate to develop large-scale data modeling experiments, explain complex concepts to senior leaders and stakeholders.</li><li>
Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production.</li><li>
Work with Product Owners and Software Engineers to productionize the models and Partners closely with business partners to identify impactful projects, influence key decisions with data, and ensure client satisfaction.</li><li>
Deliver regular team updates and maintain full transparency into the team's priorities, progress, and deliverables across stakeholders.</li><li>
Champion a culture of recognition by actively celebrating individual and team accomplishments, reinforcing a positive and high-performing team environment.</li></ul>
Required qualifications, capabilities, and skills<ul><li>
BS or MS or PhD in Computer Science or Data Science or Statistics or Mathematical sciences or Machine Learning. Strong background in Mathematics and Statistics.</li><li>
7+ years&rsquo; experience in applying data science, ML techniques to solve business problems and one of the programming languages like Python, Java, C/C++, etc.</li><li>
Experience with LLMs and Prompt Engineering techniques.</li><li>
1+ year of experience working with Gen AI solutions / LLMs such as GPT, Claude, Llama etc.</li><li>
Solid background in NLP, Generative AI and hands-on experience and solid understanding of Machine Learning and Deep Learning methods and familiar with large language models</li><li>
Extensive experience with Machine Learning and Deep Learning toolkits (e.g.: Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)</li><li>
Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals.</li><li>
Experience with Big Data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.</li><li>
Experience with building and deploying ML models on AWS esp. using AWS tools like Sagemaker, EC2, Glue, etc.</li><li>
Have good understanding about the Active Learning, Agent/Multi Agent Learning, Learning from Supervision/Feedback, etc. Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments.</li><li>
Ability to work on tasks and projects through to completion with limited supervision. Passion for detail and follow through. Excellent communication skills and team player</li></ul>
Preferred qualifications, capabilities and skills<ul><li>
Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journals</li><li>
Experience with A/B experimentation and data/metric-driven product development</li><li>
Ability to develop and debug production-quality code and familiarity with continuous integration models and unit test development</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Applied AI/ML - Vice President

Zekelman Industries

<div>You may not know our name, but you know our products. What we make is part the places where we live, work and play &ndash; all day, everyday.
Zekelman is a family of companies &mdash; 100% domestic manufacturers &mdash; with a legacy dating back to 1877. We&rsquo;re proud to be the largest independent steel pipe and tube manufacturer in North America and the leading innovator in multi-family housing development.
We believe in what we build and what we build, builds the world around us. Hospitals, hotels, schools, bridges, airports and more.
Come build a career you believe in.
About the Role 
As an AI Developer at Zekelman Industries, reporting to the Vice President of AI and Innovation, you will design, build, and deploy intelligent solutions that transform how our business operates across HR, Finance, Supply Chain, Sales, and IT. This position requires deep expertise in modern AI development&mdash;spanning agentic frameworks, generative AI, and enterprise cloud platforms&mdash;and offers the opportunity to contribute directly to embedding automation and intelligent decision-making into core workflows that drive measurable business impact.<div></div>
You will collaborate with cross-functional teams and stakeholders across the organization, ensuring complex business challenges are translated into scalable, production-ready AI solutions. This is a remote role.<div></div>
This role is ideal for someone who thrives at the intersection of cutting-edge AI tooling and practical business impact, brings a strong hands-on development background, and can operate across the full solution lifecycle from prototype to production.<div></div>
What You&rsquo;ll Do<ul><li>
Design, develop, and deploy AI solutions using both code-first development and low-code/no-code platforms such as Microsoft Power Platform and Azure AI Studio &ndash; Deliver intelligent automation that integrates seamlessly into enterprise workflows</li><li>
Build and orchestrate AI agents and multi-agent systems using modern agentic frameworks &ndash; Create autonomous systems that solve complex, multi-step business problems</li><li>
Engineer and fine-tune prompts for large language models (LLMs) and integrate foundation models and generative AI capabilities into enterprise applications &ndash; Embed generative AI into real-world use cases across Microsoft 365, ERP, and CRM platforms</li><li>
Deploy, monitor, and manage AI workloads on Microsoft Azure following MLOps best practices &ndash; Ensure solutions are scalable, reliable, and production-grade</li><li>
Select and apply appropriate AI/ML techniques&mdash;supervised learning, unsupervised learning, reinforcement learning, and generative AI&mdash;to solve business problems &ndash; Match the right technical approach to the challenge</li><li>
Leverage AI-native development tools including GitHub Copilot, Cursor, and Azure AI Foundry to accelerate solution delivery &ndash; Improve developer productivity and solution quality</li><li>
Integrate AI solutions into existing enterprise systems via APIs and connectors &ndash; Bridge intelligent automation with legacy and modern platforms</li><li>
Collaborate with AI team members to translate business improvement opportunities into AI-driven automation and intelligent decision support &ndash; Turn strategic goals into deployable solutions</li><li>
Maintain and monitor deployed solutions, tracking model performance, data drift, and business KPIs &ndash; Ensure sustained performance and continuous improvement</li><li>
Document technical architectures, maintain version-controlled codebases, and uphold software engineering best practices including Git, CI/CD, and code review &ndash; Build maintainable, auditable solutions</li><li>
Stay current on evolving AI tooling, model releases, and platform capabilities and evaluate new approaches for adoption &ndash; Keep Zekelman at the forefront of AI innovation</li><li>
Lead and promote healthy and safe work practices as required by regulatory agencies and Company policy</li></ul><div></div>
Who You Are<ul><li>
5 years of combined professional and academic experience in AI/ML development, with a minimum of 3 years of hands-on experience developing and deploying production AI solutions</li><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or a related technical field (Master&rsquo;s degree in Artificial Intelligence, Machine Learning, or related discipline preferred)</li><li>
Demonstrated experience designing and building agentic AI systems or multi-agent workflows</li><li>
Hands-on experience deploying AI workloads on Microsoft Azure and/or Google Cloud Platform</li><li>
Proven use of low-code/no-code AI platforms in delivering business solutions</li><li>
Strong portfolio of AI projects demonstrating breadth across model development, deployment, and business integration</li><li>
Excellent problem-solving abilities and comfort working at the intersection of technical depth and business strategy</li><li>
Strong collaboration and communication skills with ability to translate technical concepts for non-technical stakeholders</li><li>
Experience in manufacturing or industrial environments a plus; metals and steel industry experience is a strong differentiator</li></ul><div></div>
What You&rsquo;ll Get 
Zekelman Industries offers competitive compensation and excellent benefits, including low-cost, high-quality medical and dental benefits. In addition, we have an outstanding tuition assistance program, a bonus plan, a 401(k) plan with a generous company match, loyalty awards, and more:<ul><li>
Competitive Compensation</li><li>
Bonus Plan &amp; Profit-Sharing Opportunities</li><li>
401(k) with Company Match</li><li>
Comprehensive Health, Dental &amp; Vision Insurance</li><li>
Tuition Assistance Program</li><li>
Paid Vacation &amp; Holidays</li></ul>
Zekelman Industries offers competitive compensation and excellent benefits, including low-cost, high-quality medical and dental benefits. In addition, we have an amazing tuition assistance program, a bonus plan, a 401(k) plan with a generous company match, immediate vesting, and much more.
M/F/D/V
We are Zekelman Industries.
We manufacture superior quality tubular and related products, and provide outstanding service for our valued customers.
We seek to continuously advance the skills and opportunities of our employees, utilizing the latest technology and management tools available to consistently increase profitability and the enterprise value of Zekelman Industries and of our customers.</div>

AI Developer

Applied Machine Learning Engineer – ML & AI Systems

Applied Systems

<div>Job Description:

Amazing Career Moments Happen Here 
Transforming the insurance industry is ambitious, we know. That&rsquo;s why at Applied, we&rsquo;re building a team that shows up every day ready to learn, willing to try new things, and driven to deliver innovative software and services that make us indispensable to our customers &ndash; all within a culture built on values that make us indispensable to each other too. With 40+ years of experience in the Insurtech game, we&rsquo;re not just redefining what&rsquo;s achievable, we&rsquo;re creating a place where amazing career moments are made possible. 
Position Overview<div> 
We're seeking an Associate AI Engineer / AI Engineer to build and enhance data solutions and AI initiatives for the business of insurance.</div><div>
In this role, you will work closely with the Principal Data Architect, Data Scientists, and Software Engineers to build, model, and maintain data solutions as we optimize data architecture and accessibility of large-scale datasets for our global teams.</div><div></div><div> 
What You&rsquo;ll Do</div><ul><li>
Partner with Product, Engineering, and Data Science leaders to design and deliver AI-powered user experiences in our dashboard products</li><li>
Build and integrate conversational AI solutions (e.g., Vertex AI, Generative AI APIs) into Applied&rsquo;s products</li><li>
Use AI tools responsibly (e.g., code assistance, test generation, analysis, and documentation) to accelerate velocity and improve quality while validation outputs and ownership of contributions to the customer experience</li><li>
Work with Google Cloud APIs, Vertex AI, and related services to enable intelligent workflows</li><li>
Prototype and implement AI-driven insights and recommendations directly in dashboards for client use</li><li>
Collaborate with UX and product teams to design seamless user experiences powered by AI</li><li>
Support development of generative AI prototypes, prompt design, and fine-tuned models</li><li>
Stay current on advancements in Google Cloud, conversational AI, and applied AI engineering</li><li>
Assist senior engineers and scientists on larger initiatives to scale AI capabilities across the platform</li></ul><div> 
We&rsquo;re Excited to Learn More About You</div><div></div><ul><li> 
Hybrid: Ability to work from an Applied Systems office on an ad hoc basis, with remote work days for deep work.</li></ul><ul><li> 
Must have:</li></ul><ul><li>
Strong programming skills in Python and SQL.</li><li>
Exposure to data science concepts (predictive modeling, ML/AI basics, or coursework/projects).</li><li>
Interest in applied AI, conversational AI, and building user-facing insights.</li><li>
Familiarity with cloud platforms (Google Cloud preferred) or willingness to learn quickly.</li><li>
Understanding of APIs and how applications connect to each other.</li><li>
Problem-solving skills with curiosity and eagerness to experiment and explore new technologies.</li></ul><ul><li> 
Nice to have (but not required):</li></ul><ul><li>
Experience with Google Cloud tools such as Vertex AI, Dialogflow, or BigQuery.</li><li>
Familiarity with dashboards/visualization tools (Looker, Tableau, or Power BI).</li><li>
Version control knowledge (Git).</li></ul><ul><li> 
Education: Bachelor's or Master's degree in a related field (e.g., Computer Science, Data Science, Engineering, or related field)</li><li><ul><li>
We proudly support and encourage people with military experience, as well as military spouses, to apply.</li></ul></li></ul><div></div> 
When You Join Team Applied, You Can Expect: 
A culture that values who you are and recognizes that you aren&rsquo;t just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day. 
We flex our time together, collaborating remotely and in-person to empower our teams to work in the ways that work best for them. 
A comprehensive benefits and compensation package that centers our teammates and helps them to bring their best to work every day:<ul><li>
Medical, Dental, and Vision Coverage</li><li>
Holiday and Vacation Time</li><li>
Health &amp; Wellness Days</li><li>
A Bonus Day for Your Birthday</li></ul> 
 
Learn more about the people behind our products at https://www1.appliedsystems.com/en-us/about-us/jobs/ 
Our targeted starting base salary in the United States for this position ranges from $80,000 - $120,000. To determine a new team member&rsquo;s starting pay, we consider a variety of factors, including someone&rsquo;s depth, breadth, and variety of experience, skills, and responsibilities. Depending on the role, team members may also be eligible to participate in additional compensation plans such as bonus and commission. 
Your Security Matters: 
 Our candidates&rsquo; personal information and online safety are top of mind for us. At Applied, we proactively protect your personal information and only communicate with candidates via a secure @appliedsystems.com email or through our official careers portal. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. 
EEO Statement
Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don&rsquo;t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law. 
#LI-Hybrid</div><div></div>

Associate AI Engineer / AI Engineer

BMO Financial Group

<div><div><div><div><div><div><div><div>Application Deadline:
</div></div></div></div></div></div></div>05/28/2026
Address:
320 S Canal Street
Job Family Group:
Technology
We are seeking an enthusiastic and passionate professional for a Senior Cloud, AI &amp; Data Security Engineer role who wants to design and implement security solutions for systems and services across AWS, Azure, and AI/ML platforms . We need someone who can establish the highest standards that meet and exceed security governance solutions and practices, provide assurance to management and auditors, and ensure sustained protection by embedding controls in operational and DevOps (CI/CD) practices with a focus on automation.
We are looking for someone who has a high level of technical security expertise and who takes seriously the responsibility of monitoring, detecting, protecting, and maintaining the security of data, AI/ML systems, cloud platforms, and networks .
You are a leader with a strong technical background. You have demonstrated strength in:
<ul><li>Developing and implementing secure cloud and AI/ML architectures using a risk-based cybersecurity and data privacy strategy
</li><li>Defining security patterns, roadmaps, and operating models that leverage collaboration
</li><li>Facilitating industry-standard information security governance
</li><li>Advising senior leadership on cybersecurity, AI risk , and privacy risks, threats, and investment strategies
</li><li>Documenting appropriate policies and procedures to manage information security risks, including those unique to AI/ML systems and sensitive data assets
</li></ul>As a qualified candidate, you will be part of the team driving BMO's Cloud, AI, and Data Security implementation. As a member of this team, you should possess the ability to inspire yourself and all of our team. Based on your previous experiences, you will inject new knowledge and skills into an already high-performing team, thus elevating our efforts to new heights.
<div></div>Your Responsibilities
Cloud Security
<ul><li>Assess, design, implement, automate, and document security solutions, controls, and processes for Amazon Web Services (AWS) and Microsoft Azure cloud platforms
</li><li>Develop and maintain security patterns for cloud platforms and services; assess all cloud patterns to ensure adherence to best security practices and controls
</li><li>Design and implement security baseline controls for Cloud Services for integration into the CI/CD process
</li><li>Build and deliver policies as code , automating security controls and best practices
</li><li>Review and approve code and changes with security implications (e.g., IAM Roles and Policies, Security Groups, etc.)
</li><li>Be the cloud security subject matter expert for the Cloud Engineering group and its partners in any IaaS, PaaS, and SaaS implementations
</li></ul>AI &amp; Machine Learning Security
<ul><li>Define and implement a security framework for AI/ML systems , covering the full model lifecycle from data ingestion and training to deployment and monitoring
</li><li>Assess and mitigate AI-specific threats including adversarial attacks, model inversion, data poisoning, prompt injection, and model theft
</li><li>Evaluate and secure AI/ML platforms and tools (e.g., Amazon SageMaker, Azure Machine Learning, Hugging Face, OpenAI APIs) against organizational risk standards
</li><li>Collaborate with data science and AI engineering teams to integrate security controls into MLOps pipelines , ensuring model integrity, access controls, and auditability
</li><li>Monitor emerging AI threat landscapes and regulatory developments (e.g., EU AI Act, NIST AI RMF) and translate these into actionable organizational controls
</li></ul>Data Security
<ul><li>Implement and manage data security posture management (DSPM) tools to continuously monitor sensitive data exposure across cloud environments
</li><li>Establish controls for structured and unstructured data stores , including databases, data lakes, data warehouses (e.g., Snowflake, AWS S3, Azure Data Lake), and file sharing platforms
</li><li>Drive the adoption of data-centric security practices within application development and analytics teams
</li></ul>General Security Leadership
<ul><li>Provide subject matter expertise on architecture, authentication, and systems security based on a clear understanding of the engineering stack, services, and data flow
</li><li>Lead focused and continuous cybersecurity risk assessments of new and existing technologies - including AI/ML systems and data platforms - to identify risks and appropriate controls that balance security and operability
</li><li>Provide effective and pragmatic cybersecurity guidance upfront in major technology projects to enable the business to innovate securely
</li><li>Assist in the investigation and remediation of security incidents and issues, including those involving AI model compromise or data breaches
</li><li>Work closely with Information Security, product, and software development teams to assess cybersecurity risk and recommend solutions in cloud, AI, and data environments
</li></ul><div></div>Your Mindset
<ul><li>You are a self-starter , driven, and can handle multiple projects and priorities
</li><li>You are passionate about driving the DevSecOps and MLSecOps mindset and culture in a fast-paced, challenging environment where you get the opportunity to work with the latest tools and technologies
</li><li>You understand the intersection of security, AI, and data , and actively seek to build bridges between these disciplines
</li><li>You are actively looking to improve the solutions you implement, understand the efficacy of collaboration, and are keen to work in a team of CI/CD, infrastructure, AI, and data specialists
</li><li>You are energized by the rapidly evolving AI threat landscape and bring intellectual curiosity and practical judgment to navigating ambiguity
</li><li>As a member of this team, you will inject new knowledge and skills into an already high-performing team, elevating our collective efforts to new heights
</li></ul><div></div>Required Core Skills
Foundational
<ul><li>A university degree in Engineering, Computer Science, Information Technology , or a related field
</li><li>7-10 years of experience developing and implementing security architectures and/or engineering, with demonstrated breadth across cloud, data, and/or AI security domains
</li><li>Security certifications such as CISSP, CCSP, CCSK , or any Cloud Security Specialty certification (e.g., AWS Certified Security Specialty, Microsoft Certified: Azure Security Engineer Associate)
</li><li>Emerging/preferred: Certifications or demonstrated knowledge in AI security (e.g., CDAI, CompTIA AI+, or equivalent vendor-specific AI security training) or data security (e.g., CDPSE, CIPP)
</li></ul>Cloud Security
<ul><li>Demonstrated knowledge of cloud architecture, cloud operations, cloud-based identity and access management, security automation, and orchestration
</li><li>Extensive experience with cloud-native security solutions and tools (e.g., AWS Security Hub, AWS GuardDuty, Microsoft Defender for Cloud, Azure Sentinel)
</li><li>Knowledge of technical security control environments and compliance frameworks including CSA CCM, ISO 27001, ISO 27017, and NIST CSF
</li></ul>AI &amp; ML Security
<ul><li>Working knowledge of AI/ML development frameworks and platforms (e.g., TensorFlow, PyTorch, SageMaker, Azure ML) and associated security risks
</li><li>Familiarity with the OWASP Top 10 for LLMs , MITRE ATLAS , and NIST AI Risk Management Framework (AI RMF)
</li><li>Understanding of MLOps pipeline security , including securing model registries, feature stores, training environments, and inference endpoints
</li><li>Knowledge of Generative AI security risks , including prompt injection, jailbreaking, data leakage via LLMs, and supply chain risks in AI model dependencies
</li></ul>Data Security
<ul><li>Experience implementing data loss prevention (DLP) , data classification , and data access governance solutions in enterprise environments
</li><li>Knowledge of DSPM tools and practices
</li><li>Understanding of data encryption at rest and in transit , tokenization, and key management for large-scale data environments
</li><li>Familiarity with data privacy regulations (e.g., PIPEDA, GDPR, CCPA) and their technical implementation requirements
</li><li>Experience securing cloud-based data platforms such as Snowflake, Databricks, AWS Redshift, Azure Synapse, or equivalent
</li></ul>Technical Skills
<ul><li>Firm grasp of networking protocols and operations ; comfortable with packet analysis tools such as Wireshark, Burp Suite, nmap, Nessus, and Metasploit
</li><li>Knowledge of theoretical and applied cryptography , key management, and cryptographic algorithms (RSA, AES, TLS, PKI, etc.)
</li><li>Knowledge of Identity and Access Management (IAM) concepts including SSO, SAML, federated identity, RBAC, and OAuth/OIDC
</li><li>Strong scripting and programming skills with experience in Python, PowerShell, Bash, Node.js , and API/webhook development
</li><li>Experience with Infrastructure as Code (IaC) security scanning tools (e.g., Checkov, tfsec, Prisma Cloud)
</li></ul>Interpersonal &amp; Leadership
<ul><li>Demonstrable internal and external relationship-building skills with the ability to clearly articulate complex security concepts across a diverse corporate culture
</li><li>Ability to lead in-depth workshops across a broad range of topics including cloud compliance, AI risk, and data governance
</li><li>Strong ability to influence decision-making at senior leadership levels
</li></ul><div></div>Other Skills
<ul><li>Strong interpersonal, communication, and leadership skills
</li><li>A critical thinker with strong research, analytical, and problem-solving skills
</li><li>Self-motivated with a positive attitude and an ability to work independently and within a team
</li><li>Ability to communicate complex technical concepts to a broad range of internal and external stakeholders, including business, legal, compliance, and technology leaders
</li><li>Strong time management skills with the ability to manage multiple workstreams and mentor less experienced team members
</li></ul><div></div>Why Join Us?
This is a rare opportunity to shape the cloud, AI, and data security strategy of one of Canada's largest financial institutions at a time when these domains are converging and rapidly evolving. You will work at the forefront of emerging threats, influence enterprise-wide security standards, and collaborate with world-class teams across technology, risk, and innovation.
Salary :
$122,400.00 - $228,000.00
Pay Type:
Salaried
The above represents BMO Financial Group&rsquo;s pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group&rsquo;s expected target for the first year in this position.
BMO Financial Group&rsquo;s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards
About Us
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one &ndash; for yourself and our customers. We&rsquo;ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we&rsquo;ll help you gain valuable experience, and broaden your skillset.
To find out more visit us at http://jobs.bmo.com/us/en
BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.</div>

Senior Cloud Security Engineer

Buckingham Search

<div>
 
 
 Vice President, Human Resources (Strategic HR Leader)
 
 
 
 A high-growth, global professional services organization is seeking a
 
 Vice President of Human Resources
 
 to join its leadership team.
 
 
 This organization partners with a diverse group of businesses across multiple sectors, delivering centralized expertise across HR, finance, legal, and operations. The environment is fast-paced, collaborative, and built for high performers who want visibility, impact, and continuous growth.
 
 
 
 Why This Role Stands Out
 
 
 
 This is a
 
 highly visible, hybrid leadership role
 
 that blends:
 
 <ul>
 <li>
 Strategic HR advisory to multiple operating businesses
 </li>
 <li>
 Internal HR leadership and influence at the enterprise level
 </li>
 </ul>
 
 You&rsquo;ll operate as both a
 
 trusted advisor to senior leaders
 
 and a
 
 hands-on builder
 
 , helping shape people strategy while driving execution across a complex, multi-entity environment.
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 Strategic HR Partnership (External-Facing)
 
 
 <ul>
 <li>
 Partner directly with senior HR and business leaders across a portfolio of operating companies
 </li>
 <li>
 Deliver tailored HR solutions across talent acquisition, total rewards, talent management, and organizational design
 </li>
 <li>
 Act as a strategic advisor on workforce planning, org structure, and leadership effectiveness
 </li>
 <li>
 Identify gaps in talent strategy and build scalable solutions to address them
 </li>
 <li>
 Build strong relationships with executive stakeholders, including CHRO-level partners
 </li>
 </ul>
 
 
 Enterprise HR Leadership (Internal-Facing)
 
 
 <ul>
 <li>
 Serve as a key advisor to executive leadership and functional teams
 </li>
 <li>
 Help shape and execute the broader HR strategy across the organization
 </li>
 <li>
 Drive alignment between internal HR initiatives and the needs of partner organizations
 </li>
 <li>
 Lead or contribute to high-impact initiatives (e.g., M&amp;A integration, org redesign, change management)
 </li>
 <li>
 Champion culture, engagement, and leadership development efforts
 </li>
 </ul>
 
 
 Organizational Effectiveness &amp; Talent Strategy
 
 
 <ul>
 <li>
 Coach leaders on performance management, employee relations, and team development
 </li>
 <li>
 Use data and insights to proactively drive HR programs and decisions
 </li>
 <li>
 Support workforce planning, succession planning, and organizational design
 </li>
 <li>
 Ensure compliance and partner with legal on risk mitigation when needed
 </li>
 <li>
 Drive initiatives that enhance engagement, retention, and performance
 </li>
 </ul>
 
 
 What You Bring
 
 
 <ul>
 <li>
 12+ years of progressive HR experience (HRBP or generalist background)
 </li>
 <li>
 Experience operating at a
 
 strategic level with senior leadership
 
 </li>
 <li>
 Proven ability to balance
 
 strategy + execution
 
 in complex environments
 </li>
 <li>
 Strong background across core HR functions (talent, comp, ER, L&amp;D, etc.)
 </li>
 <li>
 Experience leading teams and influencing cross-functional stakeholders
 </li>
 <li>
 Strong change management and organizational design experience
 </li>
 <li>
 Excellent communication skills with executive presence
 </li>
 </ul>
 
 
 Nice to Have:
 
 
 <ul>
 <li>
 Experience in consulting, advisory, or multi-entity environments
 </li>
 <li>
 Exposure to M&amp;A, integration, or transformation work
 </li>
 <li>
 Advanced degree in HR or related field
 </li>
 </ul>
 
 
 Work Environment &amp; Benefits
 
 
 <ul>
 <li>
 Hybrid schedule (3 days in office)
 </li>
 <li>
 Strong work-life balance initiatives (including flexible work options)
 </li>
 <li>
 Competitive compensation + bonus + long-term incentives
 </li>
 <li>
 Robust health, wellness, and development offerings
 </li>
 </ul>
 
 
</div>

Vice President Human Resources

Hyatt

<div><div>Summary<div>
The Opportunity
Hyatt Hotels Corporation seeks an enthusiastic Senior ML Engineer to join our Data Science and Machine Learning department. In this role, you will be collaborating closely with the broader Data and Analytics team, where you&rsquo;ll be instrumental in continuing to make Hyatt a leading hospitality company. You will be part of a team that is passionate about our purpose, committed to nurturing curiosity and new skills, and building connections across the organization with colleagues, customers, and guests.
At Hyatt, we believe in the power of belonging and creating a culture of care, where our colleagues become family. Since 1957, our colleagues and our guests have been at the heart of our business and helped Hyatt become one of the best, and fastest growing hospitality brands in the world. Our transformative growth and the addition of new hotels, brands and business lines can open the door for exciting career and growth opportunities to our colleagues.
As we continue to grow, we never lose sight of what&rsquo;s most important: People. We turn trips into journeys, encounters into experiences and jobs into careers.
Why Now?
This is an exciting time to be at Hyatt. We are growing rapidly and are looking for passionate changemakers to be a part of our journey. The hospitality industry is resilient and continues to offer dynamic opportunities for upward mobility, and Hyatt is no exception.
How We Care for Our People
What sets us apart is our purpose&mdash;to care for people so they can be their best. Every business decision is made through the lens of our purpose, and it informs how we have and will continue to support each other as members of the Hyatt family. Our care for our colleagues is the key to our success. We&rsquo;re proud to have earned a place on Fortune&rsquo;s prestigious 100 Best Companies to Work For&reg; list for the last ten years. This recognition is a testament to the tremendous way our Hyatt family continues to come together to care for one another, our commitment to a culture of inclusivity, empathy and respect, and making sure everyone feels like they belong.
We&rsquo;re proud to offer exceptional corporate benefits which include:<ul><li> Annual allotment of free hotel stays at Hyatt hotels globally</li><li> Flexible work schedule</li><li> Work-life benefits including wellbeing initiatives such as a complimentary Headspace subscription, and a discount at the on-site fitness center</li><li> A global family assistance policy with paid time off following the birth or adoption of a child as well as financial assistance for adoption</li><li> Paid Time Off, Medical, Dental, Vision, 401K with company match</li></ul>
Who You Are
As our ideal candidate, you understand the power and purpose of our culture of care, and embody our core values of Empathy, Inclusion, Integrity, Experimentation, Respect and Wellbeing. You enjoy working with others, are results driven and are looking for a variety of opportunities to develop personally and professionally.
The Role
The Machine Learning Engineer partners with data science, data engineering, and platform teams to design, build, and operate scalable AI services. This role is responsible for translating machine learning models into reliable, production-grade systems through strong infrastructure design, MLOps automation, and performance optimization. The position also contributes to cross-functional initiatives that advance the organization&rsquo;s AI platform capabilities.
Responsibilities<ul><li> Design and implement end-to-end ML systems, including data ingestion, feature processing, model training, and model serving</li><li> Architect and deploy scalable AI services supporting real-time and batch inference use cases</li><li> Build and maintain ML infrastructure across cloud environments (e.g., EC2, EKS, SageMaker, specialized inference hardware)</li><li> Develop and evolve MLOps platforms, including training pipelines, deployment workflows, feature stores, and model observability</li><li> Implement CI/CD and infrastructure-as-code patterns to automate model lifecycle management</li><li> Optimize model training and inference performance for cost, latency, and hardware efficiency</li><li> Monitor production ML systems for accuracy, reliability, and operational health</li><li> Partner cross-functionally with data engineering, architecture, governance, and security teams to ensure compliant and scalable solutions</li><li> Mentor team members on ML engineering, system design, and operational best practices</li><li> Contribute to special initiatives that advance AI platform maturity and engineering standards</li></ul></div></div><div>
Qualifications<div>
Experience Required<ul><li> Master&rsquo;s degree in Computer Science, Software Engineering, Machine Learning, or a related field</li><li> 5+ years of experience building and operating machine learning solutions in cloud environments, with focus on AI services and MLOps foundations</li><li> Demonstrated hands-on experience delivering end-to-end ML systems, spanning model development, deployment, and production infrastructure</li><li> Proficiency with modern ML engineering tooling, including cloud platforms, data pipelines, and CI/CD workflows</li></ul>
Experience Preferred<ul><li> Experience designing and scaling real-time and batch inference systems in production</li><li> Hands-on experience with deep learning frameworks and model optimization for performance and cost</li><li> Experience building or contributing to shared MLOps platforms, feature stores, or ML observability solutions</li><li> Familiarity with cloud security, governance, and compliance standards</li></ul>
We welcome you:
Research shows that individuals tend to apply to jobs, only if they meet all the listed job qualifications. Unsure if you check every box, but feeling inspired to enhance your career? Apply. We&rsquo;d love to consider your unique experiences and how you could make Hyatt even better.
The salary range for this position is $133,200 - $173,000
The final pay rate/salary offered to the successful candidate will depend on experience, skill level and other qualifications for the role, as well as the location of the performance of work. Pay for the successful candidate will meet local requirements, including the local minimum wage rate.
We value our relationships with recruitment partners and require that agencies contact us first before submitting any candidates. Hyatt will not be responsible for any fees and obligations associated with unsolicited submissions unless a formal agreement is in place.</div></div></div>

SENIOR MACHINE LEARNING / MLOPS ENGINEER (REMOTE OPPORTUNITY)

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