Explore 59 python cloud platform developer jobs from 39 hiring companies in Lumberton, NJ, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Cloud Platform Developer

Mount Holly

Vincentown

Philadelphia

Mount Laurel

Willingboro

Moorestown-Lenola

Maple Shade

Cinnaminson

Cherry Hill

Springdale

Bensalem

Levittown

Jackson

Marlton

Greentree

Burlington

Lindenwold

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Trenton

Python Cloud Platform Developer Jobs

Alvarez & Marsal

Barclays

Onsite

<h1>Job Description</h1>Purpose of the roleTo design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-makingAccountabilities<ul><li>Design analytics and modelling solutions to complex business problems using domain expertise.</li><li>Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools.</li><li>Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams.</li><li>Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them.</li><li>Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users.</li><li>Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy.</li><li>Ensure all development activities are undertaken within the defined control environment.</li></ul>Assistant Vice President Expectations<ul><li>To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.</li><li>Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes</li><li>If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.</li><li>OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.</li><li>Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.</li><li>Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.</li><li>Take ownership for managing risk and strengthening controls in relation to the work done.</li><li>Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.</li><li>Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.</li><li>Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.</li><li>Communicate complex information. &#39;Complex&#39; information could include sensitive information or information that is difficult to communicate because of its content or its audience.</li><li>Influence or convince stakeholders to achieve outcomes.</li></ul>All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.Shape the Future of Financial Crime Prevention – Use your analytical strengths to build solutions that protect customers and strengthen our controls. In your role as AVP - Data Scientist (Quantitative Analytics) you will help us design and deliver machine learning solutions that enhance our ability to detect financial crime, prevent fraud, and safeguard our customers. Working within an established model development team and in close partnership with business stakeholders and engineers, you will focus on developing robust, intuitive machine learning models supported by scalable, production ready code and comprehensive monitoring and controls. You will contribute across the full model lifecycle—from initial concept and data exploration through to supporting deployment—while maintaining the rigorous documentation and governance standards expected in a regulated environment. This role is well suited to professionals with validated experience in model development who want to apply advanced analytical techniques to real world fraud and financial crime complexities and make a meaningful impact with us.To be successful in your role as AVP – Data Scientist (Quantitative Analytics), you should have:<ul><li>Direct experience in designing, developing, and deploying machine learning or statistical models within financial services or similarly regulated industries.</li><li>Working experience coding in Python and experience with machine learning and distributed data frameworks (e.g., scikit-learn, PyTorch, Spark). </li><li>Confirmed experience in areas such as Fraud detection, Credit Risk, and Anti-Money Laundering (or similar) in consumer banking.</li></ul>Other highly valued skills include:<ul><li>Responsibility for of model lifecycle processes, from inception through development, deployment, and on-going maintenance.</li><li>Experience with cloud platforms (AWS, Azure, or GCP) or ML-focused cloud-based services (e.g. Databricks) for advanced data analytics and/or machine learning.</li><li>Practical experience applying DevOps/MLOps fundamentals—version control (Git), unit testing, CI/CD pipelines, modular code design—and experience operationalizing models in collaboration with technology teams.</li><li>An understanding of model risk management, governance, controls, and documentation within the financial services&#39; regulatory environment.</li></ul>You may be assessed on the key critical skills relevant for success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical skills.This role is located in Wilmington, DE.

AVP - Data Scientist (Quantitative Analytics)

Data Scientist

Experience designing, developing, deploying ML/statistical models in financial services; Python; ML frameworks; fraud/AML; cloud platforms; DevOps/MLOps; model governance.

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 in AI/ML development or security; 2+ years in information security; hands-on with AI/ML frameworks; proficiency in Python; cloud AI platform experience; knowledge of AI compliance frameworks.

Python Cloud Platform Developer Jobs in Lumberton, NJ, US | HiringCafe: every job on earth

Python Cloud Platform Developer Jobs in Lumberton, NJ, US

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