Production Manager - Cable Making Business

Senior Manager - National Operations Recruitment

Manager PCB Simulation

Lead IT Project Manager

Sr. Manufacturing & Process Development Engineer

Senior Data Engineer

Facilities Supervisor

Principal AWS Network Infrastructure Engineer

Staff Advanced Quality Engineer (Software)

Senior Data Scientist - Machine Learning

Responsibilities: Policies, Compliance &amp; Governance <ul><li>Develop and implement manufacturing policies and procedures in compliance with company standards, regulatory requirements, and customer-specific requirements (e.g., automotive, industrial).</li><li>Ensure full alignment with the organization principles and drive governance across production operations.</li><li>Establish clear roles, responsibilities, and accountability to support a high-performance culture.</li><li>Drive compliance in EHS, quality systems, and corporate policies.</li></ul> Strategy, Demand &amp; Capacity Planning <ul><li>Lead SIOP (Sales, Inventory &amp; Operations Planning) alignment with cross-functional teams (planning, procurement, engineering).</li><li>Own demand forecasting translation into executable production plans.</li><li>Drive capacity planning, including labor, equipment, and tooling readiness for NPI and ramp.</li><li>Develop and manage annual operating plans (AOP), budgets, and KPI targets aligned with plant and segment goals.</li></ul> Production Planning &amp; Execution <ul><li>Oversee detailed production scheduling to meet customer delivery (OTD) and lead-time targets.</li><li>Ensure seamless coordination between planning, material availability, and shopfloor execution.</li><li>Drive daily management using tiered accountability (e.g., SQDC boards) to close gaps quickly.</li><li>Lead ramp readiness and execution for new programs and volume increases.</li></ul> Operations &amp; Value Stream Management <ul><li>Lead Value Stream (VS) performance to achieve Safety, Quality, Delivery, and Cost (SQDC) targets.</li><li>Drive operational excellence through Lean Manufacturing and company tools (e.g., VSM, QCO, standard work, visual management).</li><li>Ensure strong quality control and assurance, including FPY, scrap reduction, and customer complaint resolution.</li><li>Lead structured problem-solving (8D, A3) for manufacturing and quality issues.</li><li>Ensure STR (Short-Term Recovery) discipline for gap closure.</li></ul> Inventory, Materials &amp; Resource Optimization <ul><li>Drive inventory management aligned with company working capital targets (DOH, turns).</li><li>Ensure material availability while minimizing excess and obsolescence.</li><li>Optimize resource allocation (labor, equipment, floor space) to maximize productivity and efficiency.</li></ul> Cost Management &amp; Productivity <ul><li>Own and deliver cost commitments including productivity, conversion cost, and budget adherence.</li><li>Drive cost reduction through Kaizen, waste elimination, labor productivity, and process optimization.</li><li>Support make vs. buy decisions and footprint optimization where applicable.</li></ul> Maintenance &amp; Equipment Reliability <ul><li>Partner with Maintenance and Engineering to ensure high equipment uptime (OEE focus).</li><li>Implement preventive and predictive maintenance systems aligned with company standards.</li><li>Support equipment qualification, automation, and digitalization initiatives.</li></ul> People Leadership &amp; Talent Development <ul><li>Build and lead a high-performing, engaged production team.</li><li>Develop frontline leaders (supervisors, VS leaders) in Lean, and leadership capability.</li><li>Drive performance management, succession planning, and talent retention.</li><li>Foster a culture of accountability, continuous improvement, and employee engagement.</li></ul> Continuous Improvement &amp; Deployment <ul><li>Lead and sustain company deployment across production areas.</li><li>Execute continuous improvement initiatives (Kaizen, Tebit savings, CI projects) to improve SQDC performance.</li><li>Promote best practice sharing across value streams and plants.</li></ul> Technology &amp; NPI Support <ul><li>Collaborate with Engineering on NPI, process validation, and industrialization.</li><li>Support DFM/DFA and process capability improvement.</li><li>Drive adoption of new manufacturing technologies and automation to enhance competitiveness.</li></ul> Operational Flexibility <ul><li>Demonstrate flexibility to support shift operations, ramp-up activities, and critical business needs, including off-hours leadership presence when required.</li></ul> Requirements: <ul><li>Min 8-10 years working experience in an MNC with responsibilities in production operations.&nbsp;</li><li>Strong exposure to Contract Manufacturing operations.&nbsp;</li><li>SAP knowledge is an added advantage.&nbsp;</li><li>Cable manufacturing exposure is an added advantage.&nbsp;</li><li>Proven ability in People Management.&nbsp;</li><li>Hands-on experience in NPI, ramp up activities, and continuous improvement initiatives.&nbsp;</li><li>Demonstrated team leadership skills with the ability to drive operational excellence.</li><li>Travelling 20% required for product knowledge transfer.</li><li>Fluent in English &amp; Malay (verbal and written)</li></ul>

Responsibilities: <ul><li>Lead the strategy and execution of national / Emirati recruitment across operational functions, including plant, production, and technical roles.</li><li>Partner with operations leadership and senior stakeholders to understand workforce planning requirements and support long-term national talent development initiatives.</li><li>Drive initiatives aligned with Emiratisation targets and workforce nationalisation strategies across the organisation’s operational workforce.</li><li>Develop and strengthen national talent pipelines through partnerships with universities, government programs, and national workforce initiatives.</li><li>Ensure recruitment practices align with UAE nationalisation policies and regulatory requirements.</li><li>Oversee the end-to-end recruitment lifecycle for Emirati talent across operational roles, ensuring an efficient and high-quality candidate experience.</li><li>Provide strategic guidance on national workforce planning, helping business leaders anticipate and plan for future talent needs.</li><li>Build and maintain strong relationships with government entities, educational institutions, and national talent programs supporting Emirati workforce development.</li><li>Monitor and report on Emiratisation progress and hiring outcomes, providing insights and recommendations to senior leadership.</li><li>Lead and mentor recruitment teams supporting national hiring initiatives across operations.</li><li>Engage with stakeholders across EGA’s locations as required to support national recruitment initiatives and workforce programs.</li></ul> Requirements: <ul><li>UAE National preferred, with a strong understanding of Emiratisation and national workforce initiatives.</li><li>Minimum 10+ years of experience in talent acquisition or recruitment, with significant exposure to national or Emirati hiring programs.</li><li>Proven experience recruiting within operational, industrial, manufacturing, energy, or large-scale production environments.</li><li>Demonstrated ability to lead national recruitment strategies and Emiratisation initiatives within complex organisations.</li><li>Strong stakeholder management skills with the ability to partner effectively with operations leadership and senior management.</li><li>Solid understanding of UAE labour regulations and Emiratisation policies.</li><li>Experience building national talent pipelines and partnerships with universities, government bodies, and workforce initiatives.</li><li>Ability to operate at both strategic and operational levels, balancing long-term workforce planning with immediate hiring needs.</li><li>Excellent communication and leadership skills with the ability to influence senior stakeholders.</li><li>Bachelor’s degree in Human Resources, Business Administration, or a related field; postgraduate qualifications are advantageous.</li><li>Willingness to engage with teams across EGA locations in the UAE as part of supporting national recruitment initiatives.</li></ul>

Role Description: <ul><li>A Printed Circuit Board (PCB) Simulation Manager is a senior engineering leader in Digital Data Networks (DDN) business in our client, responsible for overseeing and guiding a team of engineers who simulate and analyse high speed PCB designs encompassing electrical and thermal simulations.</li><li>Their primary role is to ensure that all PCB layouts meet high standards for performance, reliability, and manufacturability before prototyping and mass production at competitive cost.</li></ul> Responsibilities:&nbsp; Team leadership and management: <ul><li>Lead, mentor, and develop simulation team for signal integrity, power integrity, electromagnetic compatibility (EMC), radio frequency interference (RFI) and thermal incidents.</li></ul>Manage workload, project allocation, and career growth for team members. Simulation strategy and roadmap: <ul><li>Define and implement simulation methodologies and best practices for accuracy, efficiency, optimizations and recommendations across all PCB simulation projects.</li></ul> Technical oversight and guidance: <ul><li>Provide technical direction on simulation tasks and result interpretations on signal integrity (SI) for high-speed interfaces like DDR and PCIe, power integrity (PI) for efficient power delivery, electromagnetic compatibility (EMC), radio frequency interference (RFI) and thermal management.</li></ul> Design review and validation: <ul><li>Conduct design and simulation reviews, providing strategic recommendations to optimize PCB performance and reliability.</li></ul> Cross-functional collaboration: <ul><li>Work closely with global hardware, mechanical, and manufacturing teams to translate product requirements into viable PCB designs and simulations.&nbsp;</li><li>Communicate with cross-functional teams, customers and suppliers on simulation results and design risks.</li></ul> Continuous improvement: <ul><li>Drive innovation and improvement in the PCB simulation process.</li><li>Stay current with emerging technologies, design standards (e.g. IPC), and simulation tools to enhance efficiency and maintain a competitive edge.</li><li>Project and resource management: Independent management of multiple complex PCB simulation projects simultaneously, ensuring projects meet deadlines, budget requirements, and performance targets.</li></ul> Quality Management: <ul><li>Lead and drive accuracy in simulations, conduct design of experiments (DoE), plausibility check and sensitivity study of simulations, cross-correlation of simulation results with experimental results, and design optimizations for first time right manufacturability (prototypes and mass production).</li></ul> Requirements: Candidate Desired Profile: Education:&nbsp; <ul><li>A bachelor’s degree in electrical or electronics engineering from a premier institute/university. </li><li>A master’s degree in a related field is preferred.</li></ul> Experience: <ul><li>Around 15 years of extensive hands-on experience in high-speed PCB simulation, with a proven track record of successfully delivering complex projects with deadlines.</li><li>5-7 years of progressive leadership or management experience.</li><li>Breadth and depth on high performance team building, employee goal setting and performance management, talent hiring and nurturing, capability development, project acquisition, customer discussion, alignment with business objective and goals, QCD (quality, cost and delivery), strategy and execution, employee engagement, empowerment and delegation, competency and knowledge management.</li><li>Proficient and foundational knowledge on printed circuit board layout, libraries and schematics, routing and manufacturability.</li></ul> Technical Skills: <ul><li>Expertise with simulation tools for high-speed electrical and thermal analysis - Ansys SIwave/HFSS, Keysight Pathwave ADS, Keysight SIPro, Siemens HyperLyx, Cadence Sigrity, Dassault CST Studio Suite, Ansys EMC Plus, Cadence Microwave Office, and Ansys ICEPAK/Siemens FLOTHERM/Cadence CELSIUS.</li></ul>

Responsibilities: Project Management &amp; Delivery <ul><li>Lead end-to-end project management, including planning, execution, monitoring, and delivery.</li><li>Manage project scope, timelines, budgets, and resource allocation.</li><li>Track project performance, productivity, and progress against defined objectives.</li><li>Ensure adherence to project governance, processes, and compliance requirements.</li></ul> Stakeholder &amp; Communication Management <ul><li>Facilitate effective communication across cross-functional teams and stakeholders.</li><li>Present project updates to PMO, leadership, and steering committees.</li><li>Collaborate with project sponsors to define budgets and monitor financial performance.</li></ul> Risk &amp; Issue Management <ul><li>Identify risks, issues, and dependencies; implement mitigation strategies.</li><li>Resolve project impediments in a timely and effective manner.</li></ul>&nbsp;Process Improvement &amp; Leadership <ul><li>Review project methodologies, designs, and estimates to drive continuous improvement.</li><li>Ensure deliverables meet quality standards and approval requirements.</li><li>Drive lessons learned and implement best practices across projects.</li><li>Lead PMO Council activities and mentor junior project managers.</li></ul>&nbsp;Value &amp; Performance Management <ul><li>Identify project benefits and ensure value realization post-delivery.</li><li>Monitor KPIs and ensure alignment with organizational goals.</li></ul> Core Competencies <ul><li>Strong accountability and ownership mindset</li><li>Disciplined execution and delivery focus</li><li>Strategic thinking and future vision</li><li>Collaboration across cross-functional teams</li><li>Commitment to diversity &amp; inclusion</li><li>Coaching and mentoring capabilities</li></ul> Requirements: Education <ul><li>Bachelor’s degree in a relevant field (required)</li><li>Master’s degree or equivalent (preferred)</li></ul> Experience <ul><li>Minimum 8+ years of experience in IT Project Management</li><li>Proven experience managing complex, cross-functional IT projects</li></ul>

Responsibilities: Automation &amp; Process Development <ul><li>Lead end-to-end development of automation systems, including concept design, hardware/software selection, prototyping, testing, validation, and full-scale implementation.</li><li>Conduct hands-on experimental trials to validate manufacturing processes and gather performance data.</li><li>Collaborate with Product Development teams to ensure designs align with automation and manufacturability standards.</li><li>Develop engineering specifications, preliminary designs, and support pre-production builds and testing.</li></ul> Process Optimization &amp; Problem Solving <ul><li>Apply data-driven methodologies such as Six Sigma, DMAIC, and 8D to identify root causes and improve process capability.</li><li>Analyze yield and process data to develop optimization strategies and enhance efficiency.</li><li>Research and implement new technologies and manufacturing techniques to improve quality and reduce costs.</li></ul> Project &amp; Stakeholder Management <ul><li>Manage multiple engineering projects simultaneously in a fast-paced environment.</li><li>Collaborate with vendors and cross-functional teams to support automation and process development initiatives.</li><li>Provide technical leadership and communicate complex concepts effectively to stakeholders.</li></ul> Documentation &amp; Innovation <ul><li>Prepare detailed technical documentation, design drawings, and process implementation requirements.</li><li>Support submission of invention disclosures for innovative concepts.</li><li>Contribute to the development and deployment of next-generation manufacturing technologies, including AI-driven solutions.</li></ul> Requirements: Education <ul><li>Bachelor’s degree in Electrical, Mechanical, Robotics, Mechatronics, or Electro-Mechanical Engineering (minimum).</li></ul> Experience <ul><li>5–7 years of experience in automation systems and manufacturing engineering.</li><li>Proven experience leading automation projects from concept to implementation.</li></ul> Technical Skills <ul><li>Automation systems: PLCs, HMIs, VFDs, servo motors, sensors, and actuators</li><li>PLC programming: Omron, Siemens, Allen-Bradley</li><li>Industrial robotics troubleshooting: KUKA, ABB, EPSON</li><li>Vision systems: Keyence, Cognex</li><li>CAD tools: Creo, SolidWorks, AutoCAD (2D &amp; 3D)</li><li>Strong electrical and electronic troubleshooting skills</li><li>Experience with Six Sigma / DMAIC / 8D methodologies</li><li>Exposure to Artificial Intelligence (preferred)</li></ul>

Responsibilities: Data Infrastructure:&nbsp; <ul><li>Prepares data infrastructure to support the efficient storage and retrieval of data.</li></ul> Data Formats:&nbsp; <ul><li>Examines and resolves appropriate data formats to improve data usability and accessibility across the organization.</li></ul> Data &amp; Analytical Solutions:&nbsp;&nbsp; <ul><li>Develops complex data products and solutions using advanced engineering and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.</li></ul> Data Pipelines:&nbsp;&nbsp; <ul><li>Develops and maintains streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.</li></ul> Data Systems:&nbsp;&nbsp; <ul><li>Reviews existing data systems and architectures to identify areas for improvement and optimization.</li></ul> Stakeholder Management: <ul><li>Collaborates with multi-functional data and advanced analytic teams as well as with business teams to gain requirements and ensure that data solutions meet the functional and non-functional needs of various partners.</li></ul> Data Frameworks:&nbsp; <ul><li>Builds complex prototypes to test new concepts and implements data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.</li></ul> Automated Deployment Pipelines:&nbsp;&nbsp; <ul><li>Develops automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.</li></ul> Data Modeling:&nbsp;&nbsp; <ul><li>Performs complex data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience.&nbsp;</li><li>Typically reflects 5 years or more of relevant experience.</li></ul>

Responsibilities : <ul><li>Supervise day-to-day facility operations, including building, equipment, utilities ,and grounds maintenance.&nbsp;</li><li>Manage preventive and corrective maintenance programs to minimize downtime and ensure safety.&nbsp;</li><li>Oversee contractors, vendors, and service providers to ensure quality, cost effectiveness, and compliance with standards.&nbsp;</li><li>Ensure facilities comply with local regulations, EHS standards, and corporate sustainability goals.&nbsp;</li><li>Support plant operations by ensuring reliable supply of utilities such as electricity ,water, compressed air, and HVAC systems.&nbsp;</li><li>Lead and develop a team of technicians to drive efficiency, safety, and continuous improvement.&nbsp;</li><li>Prepare and monitor facility budgets, expenses, and project timelines.&nbsp;</li><li>Manage emergency response plans and support safety initiatives across the site.&nbsp;</li><li>Drive facility improvement projects, including space planning, energy efficiency, and workplace optimization.</li></ul> Requirements: <ul><li>Diploma/Degree in Mechanical, Electrical, Facilities Management, or related field.&nbsp;</li><li>Minimum 5 years of facilities management/maintenance experience, preferably in a manufacturing environment.&nbsp;</li><li>Strong knowledge of EHS compliance, building systems, utilities, and facility operations.&nbsp;</li><li>Proven experience supervising teams and managing external contractors/vendors.&nbsp;</li><li>Strong problem-solving, organizational, and project management skills.&nbsp;</li><li>Good communication skills in English and Bahasa Malaysia.</li></ul>

Responsibilities: Design and Implementation:&nbsp; <ul><li>Architect and deploy scalable, secure, and highly available network infrastructure solutions in AWS</li></ul> Network Management:&nbsp; <ul><li>Manage and optimize AWS networking services such as VPC, Direct Connect, Route 53, CloudWAN, and Transit Gateway</li></ul> Security:&nbsp; <ul><li>Implement and maintain network security best practices, including firewalls, VPNs, and security groups</li></ul> Automation:&nbsp; <ul><li>Develop and maintain automation scripts using tools like Terraform, CloudFormation, and Python</li></ul> Monitoring and Troubleshooting:&nbsp; <ul><li>Monitor network performance and troubleshoot issues to ensure optimal performance and reliability</li></ul> Collaboration:&nbsp; <ul><li>Work with cross-functional teams to support application development and deployment</li></ul> Documentation:&nbsp; <ul><li>Create and maintain detailed network documentation and diagrams</li></ul> Cost Management:&nbsp; <ul><li>Monitor and optimize cloud costs, implementing cost-saving measures where possible</li></ul> Compliance and Governance:&nbsp; <ul><li>Ensure that all cloud network solutions comply with our client standards</li></ul> Performance Tuning:&nbsp; <ul><li>Continuously improve the performance and reliability of network systems</li></ul> Incident Response:&nbsp; <ul><li>Lead incident response efforts for network-related issues and outages</li></ul> Training and Mentorship:&nbsp; <ul><li>Provide training and mentorship to junior network engineers and other team members</li></ul> Innovation/Continuous Learning:&nbsp; <ul><li>Stay updated with the latest cloud networking technologies and propose innovative solutions to improve the infrastructure</li></ul> Business Competencies: <ul><li class="ql-indent-1">Adaptable to work effectively within a variety of situations and with various individuals, groups or independently</li><li class="ql-indent-1">Ability to document and communicate effectively, explaining technical concepts and network initiatives in business terms in both individual and group settings</li><li class="ql-indent-1">Must be tenacious, overcoming obstacles and identifying risks</li><li class="ql-indent-1">Attention to detail will be critical to assist with the successful implementation of initiatives</li></ul> Requirements: <ul><li class="ql-indent-1">10+ years of experience in IT, with at least 5+ years in AWS cloud engineering and architecture.</li><li class="ql-indent-1">Strong understanding of AWS network infrastructure and service integration, including VPC, IAM, Transit Gateway, and CloudFormation, and how AWS services such as EC2, EKS, RDS, S3, and Lambda operate within those network architectures.</li><li class="ql-indent-1">Strong experience with Terraform, CloudFormation, and automation scripting (Bash, Python, PowerShell).</li><li class="ql-indent-1">Proficiency in monitoring and logging tools (DataDog, Splunk, Coralogix, CloudWatch).</li></ul> Technical Skills: <ul><li class="ql-indent-1">In-depth knowledge of AWS networking services and best practices, such as VPC, AWS Firewall, Transit Gateway, WAF, Security Groups, CloudWAN, NACLS, Shield Advance, and Direct Connect</li><li class="ql-indent-1">Advanced understanding of networking protocols and services such as BGP, OSPF, TCP/IP, DNS, DHCP, and VPNs</li><li class="ql-indent-1">Proficiency in network security principles and tools</li><li class="ql-indent-1">Skilled in network automation and scripting</li><li class="ql-indent-1">Experience in developing IaC with advanced skills in tools such as Terraform, AWS CloudFormation, and Ansible for automating infrastructure deployment and management</li><li class="ql-indent-1">Familiar with DevOps practices / CI/CD pipelines using tools like Jenkins, GitLab CI, or GitHub Actions to automate testing and deployment</li></ul>&nbsp;

Responsibilities: QMS Ownership for Deliverable Software <ul><li>Translate AS9115 Rev A and AS9100:2016 requirements into practical procedures, work instructions, and templates.</li><li>Establish processes covering software planning, development, integration, verification/validation, release, delivery, and post-delivery support.</li><li>Ensure the QMS supports multiple development models (Agile, Waterfall, Incremental) while enforcing required quality controls including reviews, approvals, traceability, and documentation.</li></ul> Software Planning &amp; Requirements Quality <ul><li>Lead the creation and maintenance of Software Quality Plans.</li><li>Establish standards for requirements management ensuring requirements are:</li></ul> <ul><li>Clear</li><li>Unambiguous</li><li>Testable</li><li>Maintain bidirectional traceability from:</li><li>Requirements → Design → Code → Test → Release.</li></ul> Configuration Management &amp; Change Control Define standards for Software Configuration Management (CM) including: <ul><li>Baselines</li><li>Configuration item identification</li><li>Change evaluation and approval</li><li>Configuration status accounting</li><li>Integrate software configuration management with product and system configuration processes.</li><li>Ensure CM covers software, documentation, tools, environments, and build/release artifacts.</li></ul> Supplier &amp; COTS/NDS Management <ul><li>Establish standards for evaluation and acceptance of Commercial Off-The-Shelf (COTS) and Non-Developmental Software (NDS) used in deliverable products.</li><li>Define AS9115 control applicability with both customers and suppliers.</li><li>Support supplier qualification, audits, and incoming verification for software deliverables and services.</li></ul> Verification, Validation &amp; Test Assurance <ul><li>Define verification standards within the QMS including:</li><li>Static analysis</li><li>Peer reviews</li><li>Unit testing</li><li>Integration testing</li><li>System testing</li><li>Regression testing</li><li>Security testing</li><li>Ensure independence of verification activities where required.</li><li>Maintain controlled test environments, data integrity, and objective evidence for compliance audits.</li></ul> Release, Delivery &amp; Post-Delivery Support Develop procedures for: <ul><li>Software release criteria</li><li>Delivery records</li><li>Installation documentation</li><li>Post-delivery issue management</li><li>Patching and configuration updates</li><li>Ensure all processes align with AS9115 standards.</li></ul> Audits, Metrics &amp; Continuous Improvement Lead internal and customer audits related to AS9115/AS9100 compliance. <ul><li>Manage Corrective and Preventive Actions (CAPA).</li><li>Support external and second-party audits with aerospace OEMs.</li><li>Define and track key quality KPIs, including:</li><li>Requirements volatility</li><li>Defect density</li><li>Defect escape rate</li><li>Verification coverage</li><li>Audit findings aging</li><li>Build reproducibility</li><li>Change lead time</li></ul> Requirements: Bachelor’s or Master’s degree in: <ul><li>Software Engineering</li><li>Computer Science</li><li>Systems Engineering or a related discipline.</li><li>Minimum 5 years of experience in software quality or software engineering within aerospace, defense, or other regulated industries.</li><li>Hands-on experience implementing AS9100 quality processes with working knowledge of AS9115 software lifecycle controls.</li></ul> Strong experience in: <ul><li>Requirements management</li><li>Configuration management</li><li>Verification and validation</li><li>Software release governance</li><li>Experience managing COTS/NDS software integration and supplier quality.</li><li>Proven ability to lead audit activities and corrective actions using structured problem-solving tools such as:</li><li>5 Why</li><li>Ishikawa</li><li>8D</li></ul> Preferred Qualifications <ul><li>Experience supporting AS9115 second-party audits with aerospace OEMs.</li><li>Familiarity with DO-178C concepts and coordination with DO-254/ED-80 hardware processes.</li><li>Experience with ALM/PLM and configuration management tools, such as:</li><li>Polarion</li><li>IBM DOORS</li><li>CodeBeamer</li><li>Git / GitLab</li><li>Bitbucket</li><li>Azure DevOps</li><li>Knowledge of CI/CD pipelines, static analysis tools, and unit testing frameworks.</li><li>Exposure to CMMI-DEV processes and experience aligning them with AS9115 quality objectives.</li></ul>

Responsibilities: <ul><li>Lead the design, development, and deployment of machine learning models using Python for applications including process optimization, predictive analytics, demand forecasting, computer vision, and decision support systems</li><li>Network across manufacturing, R&amp;D, commercial, and business functions to identify and collaboratively execute on high-impact challenges solvable through machine learning techniques</li><li>Build production-ready ML solutions within enterprise platforms (Databricks, Azure ML) including model training, endpoint deployment, and monitoring</li><li>Develop and maintain scalable, modular, well-documented code following MLOps best practices including version control, logging/metadata standards, and CI/CD principles</li><li>Lead code reviews, architectural discussions, and knowledge sharing to maintain high quality, production-ready deliverables across the team</li><li>Collaborate with domain experts and stakeholders across a wide variety of domains to understand needs, integrate ML solutions into workflows, and deliver measurable business value</li><li>Communicate complex machine learning methodology, results, and business impact clearly to technical and non-technical audiences through presentations, documentation, and visualizations</li><li>Stay current with advancements in machine learning, and apply them to solve business challenges</li><li>Mentor and provide technical guidance to data scientists, helping to grow the teams capabilities in Hyderabad</li><li>Support ML governance processes including architecture and methodology reviews, risk assessments, and compliance with enterprise standards</li><li>Lead project planning and execution, managing timelines, resources, and stakeholder expectations</li></ul> Requirements: <ul><li>Masters or Ph.D. in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Operations Research, or a domain-focused field (Engineering, Chemistry, Economics, Finance, etc.)</li><li>5-8+ years of experience in data science, machine learning, or a related field with demonstrated impact</li><li>Strong foundation in statistical and machine learning theory with proven ability to select, apply, and evaluate appropriate techniques for complex, real-world problems</li><li>Extensive hands-on experience building predictive models and deploying them to production environments using Python</li><li>Proficiency with modern ML frameworks (scikit-learn, XGBoost/CatBoost, TensorFlow/PyTorch) and data manipulation libraries (pandas, polars, numpy)</li><li>Experience with solution architecting and design for ML systems</li><li>Hands-on experience with cloud platforms such as Azure and/or Databricks for deploying and managing ML models and solutions</li><li>Experience with version control (Git), collaborative development, and code review processes</li><li>&nbsp;Strong written and oral communication skills with ability to present technical concepts and results to diverse audiences from technical teams to business leadership</li><li>History of project leadership and driving initiatives from conception to production</li><li>Strong problem-solving skills and the ability to work independently as well as lead and mentor team members&nbsp;</li></ul>

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163 standards governance Jobs found

Production Manager - Cable Making Business

Senior Manager - National Operations Recruitment

Manager PCB Simulation

Lead IT Project Manager

Sr. Manufacturing & Process Development Engineer

Senior Data Engineer

Facilities Supervisor

Principal AWS Network Infrastructure Engineer

Staff Advanced Quality Engineer (Software)

Senior Data Scientist - Machine Learning

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Skills

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163 standards governance Jobs found

Production Manager - Cable Making Business

Senior Manager - National Operations Recruitment

Manager PCB Simulation

Lead IT Project Manager

Sr. Manufacturing & Process Development Engineer

Senior Data Engineer

Facilities Supervisor

Principal AWS Network Infrastructure Engineer

Staff Advanced Quality Engineer (Software)

Senior Data Scientist - Machine Learning

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.