Explore 58 python cloud platform developer jobs from 40 hiring companies in Stonegate, CO, US. Filter by remote, salary, experience, and company, then open any listing to apply.

python-cloud-platform-developer

Python Cloud Platform Developer

Parker

Centennial

Lone Tree

Denver

Highlands Ranch

Aurora

Southglenn

Cherry Creek

The Pinery

Castle Pines North

Greenwood Village

Castle Rock

Littleton

Dove Valley

Englewood

Columbine

Lakewood

Meridian

Ken Caryl

Python Cloud Platform Developer Jobs

Alvarez & Marsal

Hunter Douglas

Hybrid

Description About Alvarez &amp; MarsalAlvarez &amp; Marsal (A&amp;M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work—guided by A&amp;M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity—are why our people love working at A&amp;M.The teamAt A&amp;M you will have the opportunity to work with a diverse team of supportive and motivated professionals that love to share their knowledge and depth of industry experience with others. A&amp;M's Disputes and Investigations practice comprises professionals from a wide range of backgrounds, who bring and share their deep expertise in conducting investigations and delivering expert witness reports. We have an inclusive developmental environment where everyone has the opportunity to learn and grow. Our culture is characterized by openness and entrepreneurial thinking, with a foundation of mutual respect and high-quality standards for our work. We strive to remove bureaucracy in favor of recognizing effort and results through advancement opportunities and a motivating performance-based reward structure.How you will contributeWith the rapid adoption of AI technologies and evolving regulatory landscape, demand for AI-focused security analysis and compliance expertise is growing exponentially. Our team supports organizations, investors and counsel in identifying, assessing, and mitigating risks associated with AI system deployment, algorithmic bias, data privacy, and model security. We focus on implementing secure AI/ML pipelines, establishing AI governance frameworks, conducting model risk assessments, and ensuring compliance with emerging AI regulations. Our approach integrates traditional cybersecurity with AI-specific security controls, leveraging automated testing, model monitoring, and adversarial robustness techniques. The team serves as trusted advisors to organizations navigating AI regulatory requirements, security certifications, and responsible AI implementation.Responsibilities:· Lead technical teams in executing AI security assessments, model audits, and compliance reviews related to AI Act (EU), NIST AI Risk Management Framework, ISO/IEC 23053/23894, and emerging AI governance standards. Develop AI risk assessment methodologies and implement continuous monitoring solutions for production ML systems.· Design and implement secure AI/ML architectures incorporating MLOps security practices, including model versioning, data lineage tracking, feature store security, and secure model deployment pipelines. Integrate security controls for Large Language Models (LLMs), including prompt injection prevention, output filtering, and embedding security.· Conduct technical assessments of AI/ML systems using tools such as:· AI Security Tools: Adversarial Robustness Toolbox (ART), Foolbox, CleverHans for adversarial testing· MLOps Platforms: MLflow, Kubeflow, Amazon SageMaker, Azure ML, Google Vertex AI· Model Monitoring: Evidently AI, Fiddler AI, WhyLabs, Neptune.ai for drift detection and explainability· LLM Security: Guardrails AI, NeMo Guardrails, LangChain security modules, OWASP LLM Top 10 tools· Privacy-Preserving ML: PySyft, TensorFlow Privacy, Opacus for differential privacy implementation· Implement AI compliance and governance solutions addressing:· Regulatory Frameworks: EU AI Act, Canada's AIDA, US AI Executive Orders, Singapore's Model AI Governance Framework· Industry Standards: ISO/IEC 23053, ISO/IEC 23894, IEEE 7000 series, NIST AI RMF· Sector-Specific Requirements: FDA AI/ML medical device regulations, GDPR Article 22 (automated decision-making), SR 11-7 model risk management· Develop and execute penetration testing specifically for AI systems, including:· Model extraction attacks and defenses· Data poisoning vulnerability assessments· Membership inference and model inversion testing· Prompt injection and jailbreaking assessments for LLMs· Backdoor detection in neural networks· Program and deploy custom security solutions using:· Languages: Python (PyTorch, TensorFlow, scikit-learn), R, Julia· AI Frameworks: Hugging Face Transformers, LangChain, LlamaIndex, AutoML tools· Security Libraries: SHAP, LIME for explainability; Fairlearn, AIF360 for bias detection· Infrastructure: Docker, Kubernetes, Terraform for secure AI deployment· Integrate AI security with traditional security frameworks including Zero Trust architecture, IAM solutions, and SIEM platforms. Implement automated compliance monitoring using AI-powered security orchestration tools (SOAR platforms like Splunk Phantom, Palo Alto Cortex XSOAR).· Assess and mitigate risks in:· Foundation models and transfer learning implementations· Federated learning systems· Edge AI deployments· Multi-modal AI systems· Generative AI applications (GPT, DALL-E, Stable Diffusion implementations)· Create technical documentation including AI system security architecture reviews, threat models specific to ML pipelines, compliance mappings, and remediation roadmaps aligned with both traditional security standards (NIST 800-53, ISO 27001) and AI-specific frameworks.· Availability for up to 15% travel required to client sites and assessment locations.Qualifications:· 3+ years of experience in AI/ML development, deployment, or security assessment· 2+ years of experience in information security, with focus on application security or cloud security· Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face)· Proficiency in Python programming with experience in AI/ML libraries and security testing tools· Experience with cloud AI platforms (AWS SageMaker, Azure ML, Google Vertex AI, Databricks)· Knowledge of AI compliance frameworks: NIST AI RMF, EU AI Act requirements, ISO/IEC 23053/23894· Experience with MLOps tools and secure model deployment practices· Understanding of adversarial machine learning and AI security threats (OWASP ML Top 10, ATLAS framework)· Familiarity with privacy-preserving ML techniques (differential privacy, federated learning, homomorphic encryption basics)· Experience with containerization (Docker, Kubernetes) and infrastructure as code· Knowledge of traditional security frameworks (NIST CSF, NIST 800-53, ISO 27001)· Ability to obtain a USG security clearancePreferred Certifications:· One or more AI/ML certifications: AWS Certified Machine Learning, Google Cloud Professional ML Engineer, Azure AI Engineer· Security certifications: CISSP, CCSP, CompTIA Security+, CEH· Specialized: GIAC AI Security Essentials (GAISE), Certified AI Auditor (when available)Your journey at A&amp;MWe recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person’s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&amp;M. The possibilities are endless for high-performing and passionate professionals.Regular employees working 30 or more hours per week are also entitled to participate in Alvarez &amp; Marsal Holdings’ fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&amp;D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez &amp; Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type. Click <a href="https://careers.alvarezandmarsal.com/pages/work-well-live-well">here </a>for more information regarding A&amp;M’s benefits programsThe salary range is $80,000 - $110,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&amp;M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance. Please ask your recruiter for details.Alvarez &amp; Marsal recruits on an ongoing basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) that they are qualified for and that are of interest to them.A&amp;M does not require or administer lie detector tests as a condition of employment or continued employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. #LI-NM1

Senior Associate, National Security-Cyber Security Governance

Associate

3+ years AI/ML development, deployment, or security assessment; 2+ years information security (application/cloud); proficient Python; experience with AI/ML frameworks and cloud AI platforms; knowledge of AI compliance frameworks and secure model deployment

<div class="content-intro">Hunter Douglas is the world’s leading manufacturer of window coverings and a major manufacturer of architectural products. We are a brand that you know and trust. With more than 100 years of innovation, we’ve defined our industry with proprietary products that deliver revolutionary style and functionality and can be found in millions of homes and commercial buildings globally.
We are searching for candidates that are driven, intelligent, creative, and entrepreneurial. By offering challenging and accelerated opportunities for growth, powered by a shared hunger for success, we create a space for your career to thrive. In return for your expertise, we are committed to providing competitive and robust total compensation and benefit packages to ensure you feel valued. Our dream is to become the fastest growing, most loved, window covering company in the world. What’s yours?</div>Position Overview
Hunter Douglas is seeking a motivated and experienced Data Scientist to join our growing AI Analytics &amp; Digital Transformation team. This individual will play a key role in advancing Hunter Douglas’s digital and data-driven transformation by leveraging AI, machine learning, and advanced analytics to optimize operations, enhance customer experiences, and support strategic decision-making across our global business.
The successful candidate will partner with business leaders across supply chain, logistics, manufacturing, sales, and customer experience to identify opportunities where AI and data science can drive measurable value — from predictive demand modeling and inventory optimization to intelligent automation and sustainability initiatives.
What you'll do
<ul>
<li>Design, develop, and deploy advanced AI/ML models and algorithms that improve operational efficiency, forecasting accuracy, and decision intelligence across the Hunter Douglas supply chain.</li>
<li>Conduct data exploration, feature engineering, and model tuning to ensure accuracy, robustness, and business applicability.</li>
<li>Collaborate with business stakeholders to translate complex challenges into data-driven solutions aligned with organizational goals.</li>
<li>Monitor, retrain, and optimize models post-deployment to maintain high performance as data and business conditions evolve.</li>
<li>Apply state-of-the-art methods such as neural networks, reinforcement learning, natural language processing (NLP), and generative AI to tackle diverse business challenges.</li>
<li>Contribute to the AI strategy roadmap, ensuring alignment with Hunter Douglas’s digital transformation initiatives.</li>
<li>Work with data engineers and IT to ensure efficient data pipelines, scalable infrastructure, and model deployment.</li>
<li>Partner with internal and external technical teams, vendors, and consultants to implement and scale AI solutions.</li>
<li>Communicate findings and insights clearly to both technical and non-technical stakeholders through visualizations, presentations, and storytelling.</li>
<li>Stay at the forefront of AI and analytics innovation, evaluating new tools, methodologies, and technologies for potential adoption.</li>
<li>Collaborate with digital product and IT teams to develop and integrate AI-assisted tools and automations within Hunter Douglas’s VIBE platform and data ecosystem.</li>
<li>Experiment with AI coding assistants (e.g., Cursor, GitHub Copilot, OpenAI Codex) to accelerate analytics and model development and improve reproducibility.</li>
<li>Support the creation of custom AI copilots and prompt libraries for use in digital supply chain tools, analytics dashboards, and planning applications.</li>
<li>Partner with the Digital Supply Chain Leader to prototype intelligent process automation for recurring planning, logistics, quality, or operational workflows.</li>
</ul>
&nbsp;
Who you are
<ul>
<li>Bachelor’s degree in a quantitative field (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics, Operations Research, or related).</li>
<li style="font-weight: bold;">5+ years of experience in AI/ML model development, deployment, and performance optimization in a business or industrial context.</li>
<li>Strong proficiency in Python, R, or SQL for data science and model development.</li>
<li>Demonstrated experience with machine learning frameworks and cloud platforms (AWS, Azure, GCP).</li>
<li>Proven ability to design and operationalize data science solutions in real-world environments.</li>
<li>Experience with predictive modeling, optimization, and time-series forecasting, ideally within supply chain, operations, or commercial analytics.</li>
<li>Knowledge of data visualization and BI tools (Power BI, Tableau, or similar).</li>
<li>Strong problem-solving, analytical, and communication skills.</li>
<li>Familiarity with version control (Git) and collaborative development practices.</li>
</ul>
&nbsp;
Preferred Education, Experience, and Skills:
<ul>
<li>Master’s in Data Science, Engineering, Statistics, or related quantitative discipline.</li>
<li>Experience working in manufacturing, supply chain, or consumer goods industries.</li>
<li>Knowledge of IoT data analytics, predictive maintenance, or computer vision in industrial applications.</li>
<li>Understanding of AI frameworks and automation pipelines for large-scale AI deployment.</li>
<li>Proven ability to manage multiple projects and deliver business impact through analytics.</li>
<li>Strong collaboration and communication skills to engage with diverse business teams.</li>
<li>Experience working with ERP and supply chain systems (SAP, Kinaxis, Oracle, etc.).</li>
</ul>
&nbsp;
Travel:
<ul>
<li>Travel up to 20% may be required for project collaboration and site visits</li>
</ul>
&nbsp;
What's in it for you
<ul>
<li>Annual base salary range: $95000-$125000</li>
<li>Bonus target range: 20%-25%</li>
<li>Generous benefits package including medical, dental, vision, life, disability</li>
<li>A company culture that prioritizes internal development and professional growth</li>
<li>Time off with pay&nbsp;</li>
<li>401(k) plan with a degree of employer matching</li>
<li>Paid parental leave</li>
<li>Wellness programs and product discounts</li>
</ul>
Please note, all offers presented to candidates are carefully crafted to ensure market competitiveness, equity, and reflect the individual candidate’s education, experience, skills and potential. Hunter Douglas is an Equal Opportunity Employer and complies with applicable employment laws. EOE/M/F/Vet/Disabled are encouraged to apply.
#LI-SA1
#L1 - HYBRID<div class="content-conclusion">By submitting your application below, you are providing your prior consent to receive SMS messages to notify you of any updates to your application status and to engage in discussion throughout your application process. You can cancel the SMS service at any time. Just text “STOP” to any of our texts to unsubscribe. Message &amp; data rates may apply. Message frequency may vary.&nbsp;If you have any questions regarding privacy, please read our privacy policy,&nbsp;<a href="https://www.hunterdouglas.com/privacy-policy" data-auth="NotApplicable" data-linkindex="15">https://www.hunterdouglas.com/privacy-policy</a>&nbsp;or terms of use&nbsp;<a href="https://www.hunterdouglas.com/terms-of-use" data-auth="NotApplicable" data-linkindex="16">https://www.hunterdouglas.com/terms-of-use</a></div>

AI Data Scientist 

Data Scientist

5+ years in AI/ML model development and deployment; strong Python/R/SQL; experience with cloud platforms; knowledge of BI tools; able to translate business needs into data-driven solutions.

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