data science and iot manager

Booz Allen Hamilton

<div>AI/ML Engineer and Data Scientist
The Opportunity:
As a data scientist, you&rsquo;re excited at the prospect of unlocking the secrets held by a data set, and you&rsquo;re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors&mdash;from fraud detection to cancer research to national intelligence&mdash;we need you to help find the answers in the data.
On our team, you&rsquo;ll use your leadership skills and data science expertise to create real-world impact. You&rsquo;ll work closely with clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You&rsquo;ll guide teammates and lead the development of algorithms and systems. You&rsquo;ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you&rsquo;ll provide a deep understanding of the data, what it all means, and how it can be used.
Work with us as we use data science for good.
Join us. The world can&rsquo;t wait.
You Have:<ul><li>
3+ years of experience with statistical and general-purpose programming languages for data analysis</li><li>
3+ years of experience analyzing structured and unstructured data sources</li><li>
Experience with data exploration, data cleaning, data analysis, data visualization, or data mining</li><li>
Experience developing predictive data models, quantitative analyses and visualization of targeted data sources</li><li>
Experience with natural language processing, text mining, or machine learning techniques</li><li>
Experience with REST APIs, webhooks, and automation middleware</li><li>
Experience integrating enterprise systems, such as Jira, Confluence, APIs, or in-house platforms</li><li>
Knowledge of AI and ML workflows leveraging existing AI and ML tools</li><li>
TS/SCI clearance</li><li>
Bachelor&rsquo;s degree</li></ul>
Nice If You Have:<ul><li>
Experience in the development of algorithms leveraging CDS, Gitlab, CI/CD, Argo CD, R, Python, or SQL and NoSQL</li><li>
Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL</li><li>
Experience with visualization packages, including Palantir, Plotly, Seaborn, or ggplot2</li><li>
Master's degree</li></ul>
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model 
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.<ul><li>
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</li><li>
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</li><li>
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</li></ul>
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div>

AI/ML Engineer and Data Scientist

CircleCI

<div><h3 class="jobSectionHeader">About the Role:</h3>

The Manager of Data Science for GTM is a hands-on player coach who leads from the front across Sales, Customer Success, and Marketing analytics. They are deeply technical, opinionated about the GTM analytical agenda, and accountable for both the output of the team and the development of each person on it. They are not a pure people manager &mdash; they roll up their sleeves on the hardest problems, set the standard for what good looks like, and pull the team up through hands-on coaching, technical mentorship, and direct involvement in the work. They own the analytical strategy for the GTM function and are a credible, trusted partner to Sales, CS, and Marketing leadership.
<h3 class="jobSectionHeader">
What You'll Do:</h3>
<ul><li>Set the analytical strategy and roadmap for GTM, proactively identifying the highest-leverage opportunities before they are asked, across the full customer lifecycle from acquisition through expansion and retention.</li>
<li>Operate as a player coach, stay technical, get into the weeds on the hardest GTM problems, and model the analytical rigor and DS thinking you expect from the team.</li>
<li>Coach the team directly on the work itself: review analyses, push on methodology, challenge correlation versus causation, and raise the bar for statistical depth, EDA, and storytelling.</li>
<li>Own the measurement strategy for GTM, defining how we evaluate the true impact of marketing campaigns, sales motions, and CS interventions through rigorous causal methods, not just attribution heuristics.</li>
<li>Drive development and iteration of churn risk, health scoring, and expansion propensity models, ensuring they are statistically sound and actively used by CS and Sales to prioritize accounts.</li>
<li>Lead marketing attribution methodology, moving the team beyond last-touch toward multi-touch and incrementality-based approaches that give leadership an accurate picture of what is actually driving pipeline.</li>
<li>Partner with Revenue Operations and Finance on pipeline and revenue forecasting models that inform quota setting, capacity planning, and board-level reporting.</li>
<li>Partner with Sales, CS, and Marketing leadership as a strategic thought partner. Influence decisions on territory design, segmentation, campaign investment, and retention strategy before they are made.</li>
<li>Grow each person on the team intentionally, set clear development goals, give direct feedback often, and hold the bar high on both performance and growth.</li>
<li>Champion AI as a force multiplier. Build agents and skills that transition repetitive GTM data work into automated capabilities and free the team to focus on higher-leverage problems.</li>
</ul><h3 class="jobSectionHeader">What You'll Bring:</h3>
<ul><li>7+ years of experience in data science or quantitative research, with at least 2 years managing a team of data scientists.</li>
<li>Strong hands-on technical skills: SQL, Python, and modern data warehouse environments. You can still write the code and review the work.</li>
<li>Demonstrated experience applying analytical methods to GTM problems: churn modeling, propensity scoring, attribution, forecasting, or similar.</li>
<li>Experience with causal inference methods (DiD, synthetic control, regression discontinuity, or similar) applied to real GTM or business problems.</li>
<li>Deep experience with experimental design, A/B testing, and rigorous measurement frameworks in a marketing or sales context.</li>
<li>Strong track record of influencing GTM strategy through data-driven recommendations at the leadership level.</li>
<li>Exceptional storytelling skills, able to translate complex methodology and findings into clear, compelling narratives for Sales, CS, and Marketing leaders.</li>
<li>Track record of developing data scientists and helping them grow from reactive analytics to proactive, strategic insight generation.</li>
</ul><h3 class="jobSectionHeader">Bonus/Nice To Have:</h3>
<ul><li>Hands-on experience with churn risk modeling, health scoring, or customer lifetime value models in a B2B SaaS context.</li>
<li>Experience with marketing attribution beyond last-touch, media mix modeling, incrementality testing, or multi-touch attribution.</li>
<li>Familiarity with revenue forecasting and pipeline modeling in partnership with RevOps or Finance.</li>
<li>Background in SaaS, developer tools, or B2B product-led growth metrics.</li>
<li>Experience with CRM data (Salesforce or HubSpot) and marketing automation platforms as analytical data sources.</li>
<li>Hands-on experience with AI tools like Claude, Cursor, or similar LLM-powered assistants and a track record of helping a team adopt them.</li>
<li>Experience with probabilistic modeling or Bayesian approaches to forecasting and scoring.</li>
</ul><div>
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About CircleCI

CircleCI is the world's largest continuous integration/continuous delivery (CI/CD) platform, and the hub where code moves from idea to delivery. As one of the most-used DevOps tools - processing more than 3 million jobs a day - CircleCI has unique access to data on how the most effective engineering teams work, and the tools to help software companies successfully leverage the power of AI into their commercial applications. Companies like Hinge, HuggingFace, and Samsung use us to improve engineering team productivity, release better products, and get to market faster. 
Founded in 2011 and headquartered in downtown San Francisco with a global, remote workforce, CircleCI is venture-backed by Base10, Greenspring Associates, Eleven Prime, IVP, Sapphire Ventures, Top Tier Capital Partners, Baseline Ventures, Threshold 
Ventures, Scale Venture Partners, Owl Rock Capital, Next Equity Partners, Heavybit, and Harrison Metal Capital.

CircleCI is an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.</div></div>

Data Science Manager, GTM

Humana

<div><h1 class="jobSectionHeader">Become a part of our caring community 
</h1>
The Infrastructure Operations Lead translates business needs into technical systems solutions and architectural roadmaps. The Lead Enterprise Architect works on problems of diverse scope and complexity ranging from moderate to substantial.
The Infrastructure Operations Lead is an expert in 24/7 operations with high performing and scaling systems that meet a high degree of uptime. An expert in all facets of Cloud and DC hosting operations Experience communicating updates and resolutions to customers and other partners with customers and internal stake holders. The ideal candidate will have expert knowledge in Kubernetes (AKS/GKE) and has previous hands-on experience in containerized environments using Automation capabilities.
In addition, this Leader will spearhead the research, evaluation and deployment of Artificial Intelligence (AI) and Generative AI (GenAI) capabilities within the Infrastructure Operations domain. This role will blend traditional Infrastructure management with next-generation AI-driven automation, predictive analytics, and intelligent operational enhancements to improve system reliability, efficiency and scalability.
By bridging traditional IT Operations with emerging AI technologies, this role will accelerate digital transformation and enhance system reliability. Additionally, it will reduce operational overhead while ensuring compliance with healthcare regulations, such as HIPAA and PHI. This individual will serve as a technical innovator and cross-functional collaborator, driving the roadmap for AI-augmented Infrastructure Operations in a high-impact, patient-centered environment.
Key Responsibilities:<ul><li>
Lead and provide direction for our Managed Service Provider (MSP)</li><li>
Lead Managed Service Provider in Operations for Azure, GCP and AWS Cloud environment</li><li>
Drives moderate to complex processing improvements through optimization, enhancements and implementation of new operational features and functions around Cloud compliance, metrics/reporting and cost optimization</li><li>
Provide senior level expertise on decisions and priorities regarding the enterprises overall Cloud Operations strategy, consumption, and optimization opportunities - understand Cost controls and the various cost optimization techniques</li><li>
Identifies, drives and assists in the implementation of opportunities to standardize Cloud environments</li><li>
Provides Coud governance, processes and technical advisory support to business units and projects by working cross-functionally and provides recommendations that support the business needs</li><li>
Participant as required (Level 2/3 escalation point) for Incident Management</li><li>
Participate and develop client relationships within Operations, Business partners, Managed Service Providers and Cloud Providers</li><li>
Work with cross-functional teams to support the engineering and implementation of new Cloud applications or solutions and define the related risks and onboard new capabilities</li><li>
Ability to communicate at all levels within an organization and influence strategic direction</li><li>
Ability to work with minimal supervision, making decisions based upon priorities, schedules and understanding business initiatives</li><li>
This leader will explore and prototype AI-driven solutions to automate incident response, predict system failures, summarize complex telemetry data, and develop intelligent copilots to support Operations teams</li><li>
Lead research and evaluation of cutting-edge AI and GenAI tools applicable to Infrastructure Operations (e.g., LLMs, vector databases, predictive analytics)</li><li>
Design and prototype AI-driven systems for automated incident detection, anomaly classification, infrastructure forecasting/resiliency &ndash; leading to lower MttR and manual overhead in mission-critical environments</li><li>
Develop and lead the strategic roadmap for AI adoption in Infrastructure Operations</li><li>
Collaborate with Infrastructure and Cloud Operations teams to pilot and integrate AI/GenAI features into critical workflows</li><li>
Modernize observability and alerting using AI/ML models for proactive monitoring and self-healing actions</li><li>
Lead R&amp;D of GenAI solutions for predictive alerting, incident triage and infrastructure automation</li><li>
Build AI copilots and natural language tools for infrastructure operations teams</li><li>
Integrate LLMs into observability platforms for real-time RCA and log summarization</li><li>
Pilot and productionize GenAI-based assistants, bots, and copilots to support ticket triage, knowledge management and resolution workflows</li><li>
Identify automation opportunities and implement AI-enhanced runbooks, workflows and self-healing mechanisms</li><li>
Contribute to a strategic roadmap for GenAI maturity within Infrastructure &amp; Operations, including tools, governance and organizational readiness</li><li>
Partner with internal data science and clinical innovation teams to create proofs of concept, build ML/GenAI pipelines, and integrate with existing toolchains (e.g., ServiceNow, Splunk, Terraform)</li><li>
Autonomous log summarization, RCA generation and playbook suggestions</li><li>
Natural language interfaces for querying system health or telemetry</li><li>
Act as a GenAI ambassador, helping Infrastructure Operations teams upskill in AI-augmented technologies and use cases</li></ul><h1 class="jobSectionHeader"> 

Use your skills to make an impact 

</h1>Required Qualifications<ul><li>
Bachelor's in Computer Science, Artificial Intelligence, Healthcare Informatics, or a related field</li><li>
10+ years in infrastructure operations or engineering, with at least 3+ years of hands-on involvement in AI/ML or GenAI R&amp;D</li><li>
Deep understanding of large language models (LLMs), vector databases, retrieval-augmented generation (RAG), and model orchestration (e.g., LangChain, Haystack).</li><li>
Experience integrating AI/GenAI capabilities with infrastructure automation tools (Terraform, Ansible, Python, Bash)</li><li>
Familiarity with healthcare systems and compliance frameworks (HIPAA, HITRUST)</li><li>
Proficiency with observability and telemetry platforms (e.g., Splunk, DynaTrace, SolarWinds) and AI-driven monitoring</li><li>
Strong problem-solving and experimentation mindset, with the ability to move from concept to pilot rapidly</li><li>
Experience with Continuous Integration and Deployment Pipelines, i.e. Azure DevOps, Jenkins, Git, Git Hub</li><li>
Has hands on scripting experience using one of the following: Terraform, Cloud Formation, PowerShell, Azure CLI, Python, JSON, Perl or Bash</li></ul>
Preferred:<ul><li>
Master's degree</li><li>
Azure, AWS, GCP, ITIL and/or SRE certifications</li><li>
Experience with GenAI platforms (e.g., Azure OpenAI, Google Vertex AI)</li><li>
Experience deploying or evaluating open-source LLMs or fine-tuning models for infrastructure use cases</li></ul>
Additional Information
Work-At-Home Requirements<ul><li>
WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.</li><li>
A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.</li><li>
Satellite and Wireless Internet service is NOT allowed for this role.</li><li>
A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information</li></ul>
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
Scheduled Weekly Hours
40
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. 

$142,300 - $195,700 per year 

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, &ldquo;Humana&rdquo;) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.<h1 class="jobSectionHeader"> 
About us 
</h1>
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health &ndash; delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com. 
 
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.</div>

Infrastructure Operations Lead Cloud and AI GenAI Enablement

BMO Financial Group

<div><div><div><div><div><div><div><div>Application Deadline:
</div></div></div></div></div></div></div>07/23/2026
Address:
320 S Canal Street
Job Family Group:
Business Management
Role Summary
The Control Tester and Advisor &ndash; Data &amp; AI Governance is responsible for executing and leading control testing activities and providing risk and control advisory support related to Data Governance and AI Governance.
This role assesses design effectiveness and operating effectiveness of controls, performs end-to-end process walkthroughs, analyzes governance artifacts, and identifies, documents, and communicates control issues. In addition, the role partners with business, technology, and risk teams to provide advisory support on risk identification, control design, process improvements, and risk assessment activities related to data and AI governance.
The role requires strong testing judgment, the ability to develop and execute test steps, and the ability to provide practical, risk-based advice while maintaining independence and objectivity.
<div></div>Key Responsibilities
Control Testing &amp; Assessment
<ul><li>Execute design effectiveness (DE) and operating effectiveness (OE) testing of controls related to Data Governance and AI Governance, including data quality, data management, AI lifecycle governance, and ethical AI controls.
</li><li>Develop and document test steps and test scripts aligned to approved testing methodologies and risk frameworks.
</li><li>Perform reperformance testing, sampling, and evidence validation to assess control execution.
</li><li>Apply professional judgment to determine control effectiveness, identify control gaps, and assess residual risk.
</li></ul><div></div>Advisory, Risk &amp; Control Support
<ul><li>Provide risk, control, and process advisory support to business and technology partners related to Data and AI governance.
</li><li>Advise on control design, control enhancements, and process improvements to address identified risks or emerging governance expectations.
</li><li>Support and provide input into risk assessments, including identification of inherent risks, evaluation of mitigating controls, and assessment of control coverage.
</li><li>Assist stakeholders in understanding risk and control expectations, governance standards, and testing outcomes.
</li><li>Offer guidance on data and AI governance best practices, including alignment to internal policies, standards, and risk frameworks.
</li><li>Support proactive risk management efforts by identifying potential control weaknesses or governance gaps outside of formal testing cycles.
</li></ul><div></div>Process Understanding &amp; Walkthroughs
<ul><li>Lead and conduct walkthroughs with control owners and stakeholders to understand end-to-end processes related to in-scope control activities.
</li><li>Document process flows, control descriptions, and key risks based on walkthroughs and artifact reviews.
</li><li>Develop and maintain a working understanding of how data and AI controls operate within business and technology processes, enabling both testing and advisory activities.
</li></ul><div></div>Artifact Review &amp; Analysis
<ul><li>Analyze and assess business and governance artifacts, including:
<ul><li>Data governance policies, standards, and procedures
</li><li>Data lineage, metadata, and data quality documentation
</li><li>AI governance artifacts (e.g., model lifecycle documentation, approvals, monitoring evidence)
</li></ul></li><li>Evaluate whether artifacts sufficiently demonstrate control design, operating effectiveness, and risk mitigation.
</li><li>Provide advisory feedback to stakeholders where artifacts or documentation do not fully support risk and control expectations.
</li></ul><div></div>Issue Identification, Risk Insight &amp; Communication
<ul><li>Identify, document, and clearly articulate control deficiencies, design gaps, and operating issues, including root cause analysis.
</li><li>Draft clear, risk-based issue descriptions and contribute to discussions on risk severity and impact.
</li><li>Provide actionable, practical recommendations that balance risk mitigation with business and operational considerations.
</li><li>Communicate testing results, risk insights, and advisory recommendations to stakeholders in a clear and professional manner.
</li></ul><div></div>Stakeholder, Business &amp; Risk Partner Engagement
<ul><li>Act as a primary testing and advisory contact for business partners, technology teams, and risk partners for assigned areas.
</li><li>Partner with stakeholders to clarify control intent, evidence expectations, risk ownership, and remediation approaches.
</li><li>Support ongoing governance forums, working groups, or risk discussions related to Data and AI governance.
</li><li>Contribute to continuous improvement of Data &amp; AI governance testing and advisory practices.
</li></ul><div></div>Documentation &amp; Quality
<ul><li>Create and maintain high-quality testing and advisory documentation, including workpapers, test scripts, walkthrough notes, risk assessments, and conclusions.
</li><li>Ensure work meets quality standards, methodology requirements, and service level expectations while maintaining appropriate independence.
</li></ul><div></div>Qualifications
Required
<ul><li>3&ndash;5 years of relevant experience in control testing, risk management, audit, governance, or advisory functions.
</li><li>Demonstrated experience performing control design and operating effectiveness testing.
</li><li>Experience supporting or contributing to risk assessments and control evaluations.
</li><li>Strong analytical skills with the ability to interpret complex governance, risk, and technical artifacts.
</li><li>Strong written and verbal communication skills, including issue write-ups and advisory discussions.
</li><li>Required: CISA, CRISC or CGRC. Preferred: CDMP or AIGP
</li></ul>Preferred
<ul><li>Experience in Data Governance, AI Governance, Model Risk Management, or Technology Risk.
</li><li>Familiarity with data management concepts, AI/ML model lifecycles, and governance frameworks.
</li><li>Experience balancing independent testing responsibilities with advisory and consultative support.
</li></ul>Salary :
$57,500.00 - $106,500.00
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>

Control Tester & Advisor – Data & AI Governance

Coca-Cola HBC

<div>
 
 
 Department:
 
 Digital Factory of .NET &amp; SFA, Digital &amp; Technology Platform Services.
 
 
 
 Location:
 
 Cairo, Egypt.
 
 
 
 
 
 We are looking for a skilled
 
 Backend Developer
 
 with strong experience in
 
 C# and .NET
 
 , and hands-on expertise in
 
 Azure-based services
 
 , to join our team working on a cutting-edge IoT Platform. The platform connects smart devices, edge systems, and enterprise services, enabling real-time telemetry, device lifecycle management, and advanced analytics. The successful candidate will be responsible for designing and developing scalable APIs and data ingestion components using Azure Functions and cloud-native technologies. You will collaborate closely with cross-functional teams, including solution architects, product owners, and fellow engineers, to deliver secure, high-performance, and reliable backend services that meet evolving business and technical requirements.
 
 
 
 
 
 
 YOUR KEY RESPONSIBILITIES:
 
 
 
 &bull; Design, develop, and maintain core backend services, including Device APIs, Ingestion APIs, Business APIs, and Mobile APIs using C# and .NET.
 
 
 &bull; Build, optimize, and manage Azure Functions for scalable data ingestion, real-time processing, and efficient persistence to cloud databases.
 
 
 &bull; Implement high-performance database writing mechanisms to handle large volumes of telemetry data, device events, status updates, commands, and lifecycle information.
 
 
 &bull; Develop and enhance high-throughput data ingestion pipelines for IoT devices leveraging Azure IoT Hub.
 
 
 &bull; Design and integrate RESTful APIs supporting device provisioning, registration, telemetry routing, and command execution workflows.
 
 
 &bull; Integrate backend systems with Azure IoT and cloud services, including IoT Hub, Device Provisioning Service, Device Twins, and Cosmos DB.
 
 
 &bull; Ensure backend services and APIs are secure, scalable, resilient, and optimized for performance under high load conditions.
 
 
 &bull; Write clean, maintainable, and testable code, and actively participate in code reviews to uphold engineering best practices.
 
 
 &bull; Collaborate closely with architects, senior developers, and cross-functional teams to deliver features aligned with the platform&rsquo;s architecture and design principles.
 
 
 &bull; Monitor, troubleshoot, and resolve issues related to API performance, system reliability, and data flow across distributed services.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor's degree in Information Technology, Computer Science, or related field.
 
 
 &bull; 3&ndash;5 years of hands-on experience in backend development using C# and .NET (preferably .NET 6 or .NET 10)
 
 
 &bull; Strong practical experience with Azure Functions and serverless computing patterns
 
 
 &bull; Proven experience in designing and building RESTful APIs and high-throughput data ingestion services
 
 
 &bull; Solid understanding of Azure IoT ecosystem, including IoT Hub and familiarity with Device Provisioning Service (DPS)
 
 
 &bull; Experience working with cloud-based databases such as Azure Cosmos DB or similar NoSQL/scale-out data stores
 
 
 &bull; Good understanding of microservices architecture and serverless system design principles
 
 
 &bull; Strong knowledge of Git version control and familiarity with CI/CD pipelines and DevOps practices
 
 
 &bull; Ability to work effectively in agile teams, collaborate with cross-functional stakeholders, and quickly adapt to new technologies
 
 
 &bull; Excellent spoken and written English
 
 
 &bull; Communication, organizational and analytical skills
 
 
 
 Nice to Have:
 
 
 
 &bull; Previous exposure to IoT platforms, connected devices, or edge computing solutions
 
 
 &bull; Experience working with Device Twins / Digital Twins concepts and implementations
 
 
 &bull; Basic understanding of messaging and event-driven systems such as Azure Service Bus or Azure Event Hubs
 
 
 &bull; Experience with enterprise system integrations, including SAP or similar ERP platforms
 
 
 &bull; Familiarity with Microsoft Fabric, data engineering pipelines, or modern analytics platforms for IoT data processing
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

IoT Backend Developer (.NET / Azure)

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Engineering FZ LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Software Applications Engineering
General Summary:
About Qualcomm IE‑IoT
 
Qualcomm is a global leader in connected intelligent edge platforms, delivering solutions that combine high‑performance compute, connectivity, and AI across industries including industrial automation, smart cities, energy, and public sector. The IE‑IoT business unit enables secure, scalable, low‑latency intelligence across on‑device, on‑premises, and hybrid cloud deployments.
Role Summary
 
The IoT Solutions Architect is a senior, hands‑on technical leadership role responsible for defining, architecting, and delivering end‑to‑end IoT and Edge AI solutions built on Qualcomm platforms. This role sits at the intersection of solution architecture, customer engineering, product management, and ecosystem partnerships, owning reusable solution blueprints that accelerate customer adoption across multiple verticals while serving as a trusted technical advisor to strategic customers.
Key Responsibilities
Solution Architecture &amp; Technical Leadership
<ul><li>Define and own scalable IoT and Edge AI solution blueprints for priority verticals
</li><li>Architect end‑to‑end systems spanning on‑device compute, AI acceleration (CV, GenAI, multimodal), connectivity, gateways, edge servers, and hybrid cloud integrations
</li><li>Produce reference architectures, design guides, and deployment playbooks
</li><li>Ensure solutions meet production requirements for performance, latency, power, thermals, security, privacy, and scalability
</li></ul>Customer &amp; Partner Engagement
<ul><li>Act as technical lead and trusted advisor for strategic customers from discovery through production
</li><li>Translate business use‑cases and KPIs into system‑level technical architectures
</li><li>Lead executive‑level architecture reviews and roadmap alignment
</li><li>Collaborate with OEMs, ISVs, system integrators, and cloud partners
</li><li>Support POCs, pilots, and commercial launches
</li></ul>Hands‑On Prototyping &amp; Validation
<ul><li>Lead system bring‑up, prototyping, benchmarking, and optimization
</li><li>Integrate workloads such as computer vision, video analytics, AI/ML inference (CNNs, LLMs, VLMs), IoT gateways, and industrial data pipelines
</li><li>Profile and optimize end‑to‑end behavior across latency, throughput, accuracy, power, and cost on Qualcomm AI‑enabled platforms
</li></ul>Hybrid Edge AI Architecture
<ul><li>Design distributed AI architectures across on‑device, on‑prem edge, and cloud
</li><li>Enable offline/online operation, observability, fleet management, and secure enterprise integration
</li></ul>Cross‑Functional Leadership
<ul><li>Partner with Product Management, hardware/software engineering, performance teams, and customer engineering
</li><li>Feed real‑world deployment insights into platform, SDK, and roadmap improvements
</li><li>Represent Qualcomm in customer workshops and industry forums
</li></ul>Technical Profile
<ul><li>Strong system‑level expertise in IoT, embedded systems, and Edge AI
</li><li>Hands‑on software experience in Python and/or C/C++
</li><li>Experience with Embedded Linux, containers (Docker, Kubernetes), AI frameworks/runtimes (TensorFlow, PyTorch, ONNX, Qualcomm AI tools)
</li><li>Background in computer vision and/or generative AI inference
</li><li>Connectivity knowledge: Wi‑Fi, Bluetooth, Ethernet, LTE/5G
</li></ul>Preferred Experience
<ul><li>Delivering production IoT or Edge AI systems in customer‑facing roles
</li><li>Vertical exposure in industrial, smart cities, retail, healthcare, logistics, or public sector
</li><li>Hybrid edge/cloud architectures
</li><li>Executive‑level communication and product roadmap influence through deployments
</li></ul>What's on Offer
Apart from working with great people, we offer the below:
<ul><li>Salary including housing &amp; transport allowance
</li><li>Stock (RSU's) and performance related bonus
</li><li>16 weeks fully paid Maternity Leave
</li><li>6 weeks fully paid Paternity Leave
</li><li>Employee stock purchase scheme
</li><li>Child Education Allowance
</li><li>Relocation and immigration support (if needed)
</li><li>Life and Medical Insurance
</li><li>Live+ Well Reimbursement for health and recreational membership fees
</li></ul>Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Applications Engineering, Software Development experience, or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Applications Engineering, Software Development experience, or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Applications Engineering, Software Development experience, or related work experience.
 
 
<ul><li>4+ years of experience with Programming Language such as C, C++, Java, Python, etc.
</li><li>4+ years of experience with debugging techniques.
</li></ul>*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
<div>Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
</div>Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers .</div>

IoT Solutions Architect - Abu Dhabi, UAE

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