Data Security Engineer - Cyber Security  (VP1)

Senior Application Developer - ERP

ERP Application Developer

Consultant, Data Analytics & Reporting-Food

Advanced Quality, Senior Engineer

Forward Deployed AI Strategist

Senior Production Support Engineer – IDM Engineering (VP2)

Principal/Staff, Firmware and Product Test (SSD)

Senior Software Engineer AI

Software Engineer AI

Responsibilities: <ul><li>Create dashboards, alerts, reports in Splunk.&nbsp;</li><li>Maintain and enhance existing reports for business.</li><li>Develop the necessary test cases and perform testing.</li><li>Implement and operationalize the use cases.</li><li>Create and maintain documentation in accordance to Bank standards.&nbsp;</li><li>Ensure appropriate standards and procedures are adhered to during the development process to support quality deliverables.</li><li>Troubleshoot, debug and provide production system support for Data Security Engineering services.</li><li>Coordinate with internal teams and vendors to resolve system issues.</li><li>Execute tasks related to project / change request / maintenance request.</li></ul> Requirements: <ul><li>Diploma/Degree in engineering/Computer Science / IT/Cyber Security from a recognized education institution.</li><li>Data Security product certifications will be favorable although not mandatory&nbsp;</li><li>Overall, 6 years of work experience in information technology and at least 2 years in Cyber Security.</li><li>Working experience in integrating solution with Splunk and developing Splunk contents (alerts, reports and dashboards).</li><li>At least 3 years of relevant experience in managing and deploying Data Security Solutions</li><li>Data Security or Splunk product certifications will be favorable although not mandatory.</li><li>Knowledgeable with the variety of Data Security technologies and familiar with the industry trends and best practices.</li><li>Analytical problem solver and good at troubleshooting technical issues</li><li>Hands-on experience with Windows, Unix or Linux and endpoint management tools (e.g. SCCM, JAMF).</li><li>Proficiency in network technologies, scripting and automation (e.g. PowerShell scripts, Python).</li><li>Advanced level of proficiency in Microsoft Office products.</li></ul>

Responsibilities Key Accountabilities <ul><li>APPLICATION CONFIGURATION MANAGEMENT: Builds and drives complex application configurations to meet user and business requirements while identifying improvements to complex application support processes and procedures.</li></ul> <ul><li>APPLICATION DEVELOPMENT &amp; DEPLOYMENT: Performs and drives the design, configuration, testing, deployment, and support of changes and fixes, in accordance with established standards and practices.</li></ul> <ul><li>COMMUNICATION &amp; SUPPORT: Plays a key role and keeps an open channel of communication with stakeholders and responds to support requests and needs.</li></ul> <ul><li>APPLICATION SUPPORT: Conducts and leads advanced and complex application support activities to maintain system stability and meet business outcomes.</li></ul> <ul><li>STAKEHOLDER MANAGEMENT: Collaborates effectively with business partners, technical peers, &amp; vendors in multi-functional global teams, to ensure solutions and configurations align with business requirements and best practices.</li></ul> <ul><li>INCIDENT &amp; REQUEST MANAGEMENT: Leads prioritization of incoming incident tickets &amp; user requests and driving timely resolution.</li></ul> Requirements <ul><li>Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.</li></ul> <ul><li>ERP &amp; DOMAIN EXPERTISE: Solid hands‑on experience with enterprise‑scale applications (ERP preferred) in a techno‑functional capacity, demonstrating strong solution design and delivery capabilities. Deep knowledge of, and experience within, one or more ERP business domains (Order-to-Cash, Procure-to-Pay, Agriculture, Finance etc.)</li></ul> <ul><li>FULL LIFE CYCLE IMPLEMENTATION: Proven experience delivering large and complex application implementations (eg. ERP) across the full lifecycle, including system design and implementation, deployment, go‑live, and post‑go‑live stabilization and support, leveraging Agile, Scrum and/or DevOps practices.</li></ul> <ul><li>PROGRAMMING &amp; CUSTOMIZATION: Knowledge and/or experience with languages such as Java, C#, Python, or platform specific scripting (eg. ABAP for SAP) for application customization and experience with various pipelines, is preferred.</li></ul> <ul><li>DATA MIGRATION &amp; INTEGRATION: Experience with data migration strategies and large scale data transfers from legacy systems, including ETL processes.</li></ul>

Responsibilities <ul><li>APPLICATION CONFIGURATION MANAGEMENT: Sets up and maintains application configurations to meet user and business requirements while developing and recommending and implementing improvements to standard and moderately complex application support processes and procedures.</li></ul> <ul><li>APPLICATION DEVELOPMENT &amp; DEPLOYMENT: Performs programming, configuration, testing and deployment of fixes or updates for application version releases. </li><li>Designs, configures, tests, deploys and supports large and complex application changes and fixes in accordance with established standards and practices.&nbsp;</li></ul> <ul><li>COMMUNICATION &amp; SUPPORT: Keeps an open channel of communication with users stakeholders and responds to standard and moderately complex application support requests and needs.&nbsp;</li></ul> <ul><li>APPLICATION SUPPORT: Conducts application support activities to maintain system stability and meet business outcomes.</li></ul> <ul><li>STAKEHOLDER MANAGEMENT: Collaborates effectively with business partners, technical peers &amp; vendors in multi-functional global teams, including business partners to ensure solutions and configurations align with business requirements and best practices.&nbsp;</li></ul> <ul><li>INCIDENT &amp; REQUEST MANAGEMENT: Reviews, analyzes and prioritizes incoming incident tickets and user requests, driving timely resolution within agreed processes, balancing delivery speed with quality and stability.&nbsp;</li></ul> Requirements <ul><li>Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.</li><li>ERP &amp; DOMAIN EXPERTISE: Hands-on experience with enterprise-scale applications (ERP preferred) in a techno functional capacity, with exposure to one or more ERP business domains (eg. Order to Cash, Procure to Pay, Agriculture, Finance).</li><li>Translating business requiremts to technical specifications.</li><li>FULL LIFE CYCLE IMPLEMENTATION: Proven experience working on large and complex application implementations (e.g. ERP) across the full lifecycle, including system design and implementation, deployment, go‑live, and post‑go‑live stabilization and support leveraging Agile, Scrum, and/or DevOps practices.</li><li>PROGRAMMING &amp; CUSTOMIZATION: Knowledge and/or experience with languages such as Java, C#, Python, or platform specific scripting (eg. ABAP for SAP) for application customization and experience with various pipelines is preferred.</li><li>DATA MIGRATION &amp; INTEGRATION: Experience with data migration strategies and large scale data transfers from legacy systems, including ETL processes.</li></ul>

Responsibilities: <ul><li>Data Analysis: Collects, transforms, and analyzes data from multiple sources to identify trends, patterns, anomalies, and actionable insights that support reporting, performance tracking, and decision making.</li><li>Reporting &amp; Visualization: Implements detailed reports and dashboards using various tools, designs and completes data visualizations to communicate moderately complex data clearly.</li><li>Data Modeling &amp; Automation: Supports data models, reporting logic, and workflow automation, while identifying and implementing opportunities to improve data collection and reporting processes using standard data management and reporting practices.</li><li>Advanced Analytics Awareness: Familiarity with predictive analytics, AI/ML, and data science concepts to support evolving analytics solutions.</li><li>Data Quality &amp; Requirement Support: Validates data, supports reporting requirements, and helps ensure the accuracy and consistency of analytics solutions.</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field such as Data Science, Statistics, Computer Science, Business Analytics, or a related discipline, or equivalent practical experience.&nbsp;</li><li>Minimum of 3-4 years of relevant work experience in data analytics, reporting, or business intelligence roles.</li><li>Strong skills in analyzing data and translating reporting needs into effective analytics solutions and insights.</li><li>Very strong skills in Power BI and data visualization.</li><li>Proficiency in SQL, Excel, Power Query, and related tools such as VBA or Python for analysis, modelling, and visualization.</li><li>Working knowledge of data warehousing, data lakes, and cloud data platforms such as Snowflake or AWS.</li><li>Experience automating workflows and building low-code solutions using Power Platform tools such as Power Automate and Power Apps.</li><li>Familiarity with (predictive) analytics, AI/ML and data science.</li><li>Business understanding and financial acumen to interpret data and generate practical insights.</li><li>Comfortable working in agile ways of working, managing multiple priorities, and contributing effectively both independently and in a team environment.</li></ul>

Responsiblities: <ul><li>Design Quality Assurance: Organize and facilitate Design Reviews (DR) and DFMEA sessions to ensure robust product design and risk mitigation.</li><li>Prototype &amp; Sample Build Quality: Implement quality planning and controls for prototype/sample builds, including documentation and build record management.</li><li>Measurement System Validation: Conduct Measurement System Analysis (MSA) for inspection systems and gages used in the project.</li><li>Development Stage Quality Oversight: Analyze samples, address quality issues, and drive improvement actions during product development.</li><li>Verification &amp; Qualification: Lead design verification activities prior to design freeze and manage product qualification testing before Gate 5.</li><li>Tool &amp; Process Validation: Perform process capability studies and support Final Tool Approval (FTAR) using Comprehensive Tool Approval Reports (CTAR).</li><li>Production Quality Control: Establish and maintain quality controls and documentation for the production shop floor.</li><li>Ongoing Quality Monitoring: Monitor process capability and manage corrective actions to ensure sustained quality performance.</li><li>Inspection Review: Review and approve measurement and cosmetic inspection results to ensure compliance with specifications.</li><li>Audit Support: Provide support during customer and internal/external quality system audits.</li><li>Lead the development and implementation of Advanced Quality Planning (AQP) tools and methodologies within cross-functional product development teams.</li><li>Manage and mitigate project risks, ensuring customer requirements are clearly understood and integrated from the outset.</li><li>Conduct design and process audits for NPI projects, ensuring compliance with internal and external standards.</li><li>Collaborate closely with manufacturing sites to ensure seamless transition from design to production, including training facilitation and sharing of best practices and lessons learned.</li><li>Support customer complaint investigations during NPI, including documentation collection, in-process record review, and postmortem analysis.</li><li>Ensure effective deployment of control plans and support supplier development and management to meet quality expectations for NPI shipments.</li></ul> Requirements: <ul><li>Bachelor’s degree or higher in Electrical, Mechanical Engineering, or a related field.</li><li>Min 4 years experience in advanced quality</li><li>Proven quality control experience in cable assemblies, connectors, sockets, or related industries.</li><li>Strong understanding of ISO 9001 and APQP procedures.</li><li>Familiarity with EIA-364 test methods and internal/external auditing practices.</li><li>Knowledge of Model-Based Definition (MBD) and GD&amp;T requirements.</li><li>Proficient in Root Cause Analysis (8D, Fishbone, 5 Whys).</li><li>Skilled in Risk Management (DFMEA/PFMEA), Process Capability (Cp, Cpk, Pp, Ppk), and Tolerance Stack-Up Analysis.</li><li>Experienced in Design of Experiments (DOE) and Six Sigma methodologies (Black Belt preferred).</li><li>Competent in data analytics and visualization tools (Power BI, Tableau, Python/R).</li><li>Skilled in statistical software such as Minitab and JMP.</li><li>Strong organizational and strategic planning abilities.</li><li>Effective communicator with excellent written and verbal English skills.</li><li>Ability to mentor junior engineers and lead cross-functional teams.</li><li>Demonstrated capability in change management and driving continuous improvement.</li><li>Strong interpersonal skills for conflict resolution and stakeholder negotiation.</li><li>Committed to delivering high-quality solutions aligned with customer expectations and business strategy.</li></ul>

Role Description: <ul><li>The Strategy team is looking for a hands-on AI-enabled strategy and market intelligence professional to materially accelerate the way we conduct deep research, market intelligence, analytical modeling, and GTM analysis by applying high impact AI workflows and translating them into sharper strategic decisions.</li><li>The individual will partner with business, product, commercial, and tech teams to translate ambiguous questions into actionable insights, while developing and scaling AI-enabled solutions that improve strategic decision-making and drive measurable business impact.&nbsp;</li><li>The individual is expected to work in close partnership with our client IT team, to leverage existing AI &amp; data capabilities on Databricks &amp; AWS (where applicable) while developing solutions.</li></ul> Responsibilities: Strategic problem solving and driving cross-functional execution&nbsp; <ul><li>Translate AI-assisted analyses into practical executive decisions by applying strong business judgment, rigorous validation protocols, and a sharp “so-what” orientation</li><li>Collaborate with and influence senior stakeholders across strategy, sales, technology teams, and P&amp;L owners</li><li>Good first-principles and problem-solving capabilities with the ability to build and test strategic hypotheses Identifying meaningful opportunities to leverage AI and deploying scaled AI solutions at pace</li></ul> Identify, assess, and prioritize high-value AI and automation opportunities by translating business challenges into scalable, practical solutions&nbsp; <ul><li>Design proprietary AI-enabled workflows, agents, and accelerators for recurring strategy activities (competitor monitoring, earnings call tracking, tariff and regulatory intelligence, voice-of-customer mining etc.)</li><li>Build reusable templates, workflows, and modules to drive adoption and embed AI capabilities into strategy processes</li></ul> Executing rapid AI-augmented research and competitive intelligence&nbsp; <ul><li>Lead AI-augmented research using tools like Claude, OpenAI, Perplexity, AlphaSense, CapIQ etc. to deliver source-triangulated competitive and industry insights</li><li>Synthesize structured datasets (S&amp;P Capital IQ, Bloomberg, IDC, Gartner) and unstructured sources (10-Ks, analyst reports, expert interviews) – to generate and validate AI-assisted outputs</li></ul> Support strategy team in day-to-day execution by leveraging AI-led tools <ul><li>Lead AI-enabled market sizing, opportunity mapping, and TAM/SAM/PAM modelling</li><li>Accelerate financial modelling – scenario and sensitivity analyses, valuation, NPV/IRR, segment P&amp;Ls, pricing</li><li>Support M&amp;A pipeline by AI-screening targets and generating investment theses</li></ul> AI enablement, coaching and continuous innovation <ul><li>Coach strategy team members on prompting techniques, research workflows, and AI-fluent execution</li><li>Scale AI adoption across Corporate Strategy through hands-on mentorship of beginner users</li><li>Stay current on agentic stacks, multimodal models, and deep research agents</li></ul> Requirements: Skillset and capabilities AI fluency and hands-on deployment orientation&nbsp; <ul><li>Working knowledge of GenAI patterns – LLM capabilities/limitations, prompt design, etc.</li><li>Proven ability to convert business problems into reusable AI workflows, tools, or accelerators</li><li>Builder mindset with experience prototyping AI solutions using frontier tools &amp; low-code platforms</li></ul> Analytics, modelling, and research excellence <ul><li>Strong modelling skills across TAM/SAM/PAM, scenarios, sensitivities, NPV/IRR, valuation etc.</li><li>Ability to synthesize structured datasets with unstructured sources</li><li>Research discipline – source triangulation and rigorous validation of AI outputs</li></ul> Strategic problem solving, communication, executive presence, and influence&nbsp; <ul><li>Sharp "so-what" orientation to translate AI outputs into practical executive decisions</li><li>Crisp written and verbal communication, with ability to frame board-ready narratives</li><li>Skill in explaining AI workflows and implications to both technical and non-technical audiences</li><li>Stakeholder management across strategy, commercial, data, and technology teams</li></ul> Ownership, and execution <ul><li>Independently own workstreams end-to-end – from framing through deployment</li><li>High bar for quality; never publishes unchecked AI outputs or unvalidated analysis</li></ul> Coaching and capability building&nbsp; <ul><li>Patience and ability to coach colleagues on prompting, research workflows, and source validation</li><li>Track record of building reusable playbooks – templates and training modules that scale adoption</li></ul> Passion, curiosity, and learning agility <ul><li>Deep passion for AI, tech, and industrial innovation, with curiosity to stay current on frontier tools</li><li>Entrepreneurial ownership mindset and drive to build a new AI-enabled strategy capability</li></ul> Qualifications:&nbsp; <ul><li>BE / B-Tech in Computer Science Engineering, Data Science or a related analytical field required; MBA, MS, M-Tech or equivalent advanced degree strongly preferred.</li><li>3–4+ years of experience in AI transformation, analytics, or AI-enabled business building. Prior Forward Deployed Engineer / Solutions Architect / Senior Data Scientist background preferred.</li><li>Experience in a top-tier strategy consulting firm, AI-native consulting team, analytics firm or corporate / product strategy team role strongly preferred.</li><li>Demonstrated experience building or deploying 0–1 AI solutions (not just experimenting), GenAI, analytics, automation, or workflow solutions in a business environment required.</li><li>Proficiency in Excel and PowerPoint required; Python or equivalent scripting capability strongly preferred. Experience with DevOps, CI/CD pipelines, and infra as code (e.g., Jenkins, Docker, Kubernetes) required.</li><li>Proficient in implementing AI platforms like AWS Bedrock, LangGraph, Crew AI, Glean etc.</li><li>Knowledge of enterprise data environments (esp. SAP, Databricks) or cloud platforms (esp. AWS) is a plus. Experience integrating AI systems with enterprise data platforms required.</li><li>Experience with LLM-powered solutions, RAG systems, agentic workflows, AI research tools, or AI-enabled knowledge manage</li></ul>

Responsibilities: <ul><li>Engage in day-to-day support activities including incident and problem management</li><li>Perform production deployments, patch activities on the supported applications and servers.</li><li>Work with product support/development team for permanent resolution/change review – all types including enhancements, bug fixes, etc.</li><li>Work with level 1 support in application knowledge transfer in establishing standard first level recovery process/system health check monitoring/scheduled activities as well as common application user queries.</li><li>Collaborate with internal stakeholders like application, business, infrastructure, security, and operations to continuously improve the stability of applications.</li><li>Develop support operational documents to summarize common support issues.</li><li>Develop reports and drive audit RFI’s and requirements.</li><li>Develop Linux scripts based on the requirements.</li><li>Provide after office hours’ standby support and for emergency recoveries, including managing major incident of critical services.</li><li>Expected to drive improvements through influence and strong relationships with managers in other teams.</li><li>Correlate events across multiple systems to proactively surface and resolve deep, underlying issues.</li></ul> Requirements: <ul><li>Diploma/Degree in engineering/Computer Science / IT/Cyber Security from a recognized education institution</li><li>Professional qualification in information security, such as CISSP / CISM / CEH, or data Security product certifications will be advantageous.</li><li>9 to 12 years relevant experience</li><li>Strong working knowledge on Oracle Identity Governance 12c, Oracle Database, WebLogic, BI Publisher, Oracle Connectors, Linux, Unix &amp; Windows Enterprise Server OS, with mixed skills around administration, performance tuning and troubleshooting</li><li>Working knowledge of Python, java, Java Scripts,</li><li>Knowledge in network infrastructure like Load balancers, Firewalls, SSL etc</li><li>Working Knowledge on Directory - LDAP and AD Databases</li><li>Strong knowledge of Oracle SQL and proficient in writing complex SQL queries with hands on experience with reporting tools along with excellent computational ability.</li><li>Strong understanding of cybersecurity principles and frameworks including ISO 27001 &amp; NIST Cybersecurity Framework;</li></ul>

Responsibilities: <ul><li>Build comprehensive firmware verification plans for various firmware features.</li><li>Develop white/ grey-box, known, and closed system testing methods to verify and validate firmware products.</li><li>Analyze failures from weekly regressions and perform root-cause analysis, requiring deep SSD domain expertise.</li><li>Manage test development, test deployment, test automation, and reporting activities.</li><li>Communicate challenges, solutions, and mitigation plans to cross-functional teams and management with clear and effective communication of both technical and non-technical topics.</li><li>Participate in code reviews and guide the team to ensure comprehensive coverage and accurate architectural build.</li><li>Establish strong working relationships with firmware development engineers to improve code quality.</li><li>Lead a team of technical people, as required.</li></ul>&nbsp;Requirements: <ul><li>B.Sc. in Electrical Engineering, Computer Engineering, or Computer Science</li><li>6-8 years of pertinent experience in SSD firmware test development</li><li>Comprehensive understanding and substantial experience in SSD firmware testing and Python programming</li><li>Deep understanding of storage industry protocols such as PCIe, NVMe and NVMe-MI, with ability to design and develop tests aligned with specifications.</li><li>Familiarity with Agile/ Scrum development, GIT-based development workflow and branch management.</li><li>Experience with automated build, continuous integration, and test automation systems</li><li>Highly organized, creative, motivated, and passionate about achieving results</li><li>Ability to work on complex tasks independently with minimal supervision</li><li>Demonstrated leadership abilities and the capability to mentor less experienced engineers</li><li>Excellent problem-solving and analytical skills</li><li>Strong interpersonal and communication skills, and a great teammate</li></ul>

Responsibilities: Design &amp; Build/Development &amp; Support <ul><li>Develop multi-agent workflow automation patterns using Agentic AI</li><li>Process redesign and mapping to agentic workflow patterns</li><li>Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python).</li><li>Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents</li><li>Profile inference latency, GPU/CPU utilization, and memory</li><li>Writes and maintains highly complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software/AI solutions</li><li>Lead bug-fix, security-patch, and performance-tuning sprints for live AI Assistants and AI Agents</li><li>Leads the establishment and maintenance of comprehensive documentation for agents, applications, deployment processes and system configurations.</li></ul> Operational Excellence&nbsp;<ul><li>Own on-call runbooks, SLOs, and incident reviews; embed observability</li><li>Leads and mentors technical support and troubleshooting for highly complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Collaboration &amp; Leadership <ul><li>Leads cross functional team of engineers to gather requirements and deliver solutions that meet business needs.</li><li>Experience working within product and agile delivery frameworks including backlog management and cross-functionality delivery and full E2E engineering.&nbsp;</li><li>Experience with enterprise architecture, data governance, or security standards in the context of digital solution delivery as part of E2E engineering and solution architecture.&nbsp;</li></ul> Capability &amp; Technology Stack Exposure <ul><li>Experience with digital technologies in the commercial &amp; sales management capability (e.g. Salesforce, Service Cloud, CPQ, Salesloft, ChatGPT or similar platforms)&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.&nbsp;</li><li>Typically reflects 4 years or more with 3+ years of cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software development.&nbsp;</li></ul>

Responsibilities: Design &amp; Build/Development &amp; Support <ul><li>Develop multi-agent workflow automation patterns using Agentic AI</li><li>Process redesign and mapping to agentic workflow patterns</li><li>Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python).</li><li>Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents</li><li>Profile inference latency, GPU/CPU utilization, and memory</li><li>Writes and maintains highly complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software/AI solutions</li><li>Lead bug-fix, security-patch, and performance-tuning sprints for live AI Assistants and AI Agents</li><li>Leads the establishment and maintenance of comprehensive documentation for agents, applications, deployment processes and system configurations.</li></ul> Operational Excellence&nbsp;<ul><li>Own on-call runbooks, SLOs, and incident reviews; embed observability</li><li>Leads and mentors technical support and troubleshooting for highly complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Collaboration &amp; Leadership <ul><li>Leads cross functional team of engineers to gather requirements and deliver solutions that meet business needs.</li><li>Experience working within product and agile delivery frameworks including backlog management and cross-functionality delivery and full E2E engineering.&nbsp;</li><li>Experience with enterprise architecture, data governance, or security standards in the context of digital solution delivery as part of E2E engineering and solution architecture.&nbsp;</li></ul> Capability &amp; Technology Stack Exposure <ul><li>Experience with digital technologies in the commercial &amp; sales management capability (e.g. Salesforce, Service Cloud, CPQ, Salesloft, ChatGPT or similar platforms)&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 2 years of building production software or data platforms.&nbsp;</li><li>Typically reflects 3 years or more with 2+ years of cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software development.&nbsp;</li></ul>

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48 python Jobs found

Data Security Engineer - Cyber Security (VP1)

Senior Application Developer - ERP

ERP Application Developer

Consultant, Data Analytics & Reporting-Food

Advanced Quality, Senior Engineer

Forward Deployed AI Strategist

Senior Production Support Engineer – IDM Engineering (VP2)

Principal/Staff, Firmware and Product Test (SSD)

Senior Software Engineer AI

Software Engineer AI

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Data Security Engineer - Cyber Security (VP1)

Senior Application Developer - ERP

ERP Application Developer

Consultant, Data Analytics & Reporting-Food

Advanced Quality, Senior Engineer

Forward Deployed AI Strategist

Senior Production Support Engineer – IDM Engineering (VP2)

Principal/Staff, Firmware and Product Test (SSD)

Senior Software Engineer AI

Software Engineer AI

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