Client Advisor

Facilities Supervisor III

Hybrid Bonding Technology Development Engineer

Legal Workflow Specialist

Forward Deployed AI Strategist

Sales Operation Analyst

Staff/Principal Engineer, NAND TD, RDA

Manufacturing Engineer

Senior Software Engineer AI

HR PARTNER II

Responsibilities: <ul><li>Engage with potential customers on frequent basis to maintain relationship and generate opportunities for sale.</li><li>Count and maintain the account of stock daily by managing the record of the opening stock and closing stock in the section allocated Report the sold sock and ensure the stock replenishment.</li><li>Develop and maintain relationship and network with competitors to leverage leading practices &amp; learning to improve store level processes.</li><li>Collate and relay customer feedback to the corporate teams like the merchandising, retail operations etc. to improve customer satisfaction and store ratings.</li><li>Manage customer queries and complaints as per the company guidelines.</li></ul> Requirements: <ul><li>2–4 years of retail sales experience, preferably in luxury retail, jewellery, fashion, watches, or premium lifestyle brands, with strong customer engagement and sales skills.</li><li>Proven ability to achieve sales targets by understanding customer needs, recommending suitable products, and delivering an exceptional end-to-end shopping experience.</li><li>Experience in retail store operations, including stock management, visual merchandising, inventory control, billing, and adherence to store SOPs.</li><li>Strong customer service and relationship management skills, with the ability to handle customer queries, resolve complaints, and build long-term customer relationships while maintaining high service standards.&nbsp;</li><li>A Bachelors degree (Graduation) is mandatory and is an essential eligibility criterion for candidates applying for this position.</li></ul>

Responsibilities: Safety and Legal Compliance: <ul><li>Familiarity with the operational legal requirement of the plant from DOLE, PEZA, DENR, LLDA, FPIP-DOR, BFP, FDA, PNP, PDEA, etc.</li><li>With on Safety Requirements for LOTO, Machine Guarding, Control Reliability, Work at Heights, Electrical Safety, Confined Spaces, Cyanide Alarms and sensors, etc.</li></ul> Supervision and Management of Plant Facilities Operation and Maintenance specifically the following: <ul><li>HVAC System</li><li>Compressed Dry Air</li><li>Electrical System</li><li>Water and Sewer Waste Water Operation</li><li>Plating Water and Wastewater Treatment</li><li>Building Maintenance and Building Management System</li><li>Electronic Controls and PLC System</li><li>Elevator System</li><li>Genset</li><li>Vacuum System</li><li>Fire protection and detection system</li><li>Paging System</li><li>Boiler, Scrubber and Mist Eliminator System</li><li>With ability to troubleshoot and recommend cost and life-cycle improvement for each process.&nbsp;</li></ul> Project Management and Cost Control: <ul><li>Leads the plant requirement on all its improvement project initiatives.</li><li>Highly knowledgeable on applicable engineering standards to recommend in the project design stage.</li><li>Up to date on the market costing to ensure accurate project cost estimation.</li><li>Recommend and review third party contracts.</li><li>With technical know-how to recommend fastest approach in meeting the deadline without issue on project quality.&nbsp;</li><li>Cost Cost Reduction Recommendation and Implementation:</li><li>Reviews plant performance related to power, water and expenses and recommend cost reduction measures.</li><li>Lead the plant to all Energy Conservation and Reduction programs.</li><li>Knowledgeable in Digital factory deployment such as Hydra Traceability, MES, Machine Connectivity for OEE tracking.</li></ul> Requirements: <ul><li>Licensed Engineer (ME, EE, ECE) with more than 10 years’ experience in Facilities Operation and Management in manufacturing set-up.&nbsp;</li><li>Able to communicate his/her idea to all levels of the organization.&nbsp;</li><li>Highly technical and analytical with People Management Skills.&nbsp;</li><li>Must have negotiation skills and able to work under pressure with ease and confidence.</li></ul>

Responsibilities: <ul><li>Design, collect data, analyze, and compile reports on difficult process engineering experiments. Measure film and surface properties, and interpret data.&nbsp;</li><li>Optimize process to push product performance to HW limit.</li><li>Generate innovative ideas to tackle challenges in hybrid bonding enablement. Guide engineering on prototyping. Perform hardware characterization on a variety of difficult systems.</li><li>Implement new technology, products, and analytical instrumentation.</li><li>Troubleshoot complex problems, perform root cause analysis, and resolve a variety of difficult process engineering issues.</li><li>Generate internal documentation for products, presentations, and technical reports.</li><li>Communicate and engage with customers to resolve complex process engineering issues or concerns, under limited supervision.</li><li>Identify, select, and partner with vendors and suppliers.</li><li>Serve as a resource for junior colleagues; lead project teams, as needed</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field. Higher education is a bonus.</li><li>3-7 years of related experience .</li><li>Demonstrates conceptual and practical expertise in complex problem solving.</li><li>Innovative &amp; can think out of the box. Passionate on going through iterative process/hardware development testing &amp; learning cycles.</li></ul>

Responsibilities: <ul><li>Design and deliver onboarding tailored to South African firms, practice groups, and in‑house legal teams.</li><li>Lead interactive training sessions that demonstrate AI‑enabled workflows across research, drafting, review, and knowledge management</li><li>Create clear, practical training materials, including guides and short videos.</li><li>Engaging in-house legal teams to understand their daily workflows and creating tailored AI solutions (e.g., Protégé Workflows) to enhance existing processes, improve outcomes, and increase productivity and ROI.</li><li>Monitor product usage across SA clients and drive increased utilisation, particularly in high‑volume corporate, regulatory, and litigation practices.</li><li>Identify adoption obstacles specific to SA legal environments</li><li>Demonstrate measurable client value, including efficiency gains, quality improvements, risk reduction and consistency.</li><li>Work with customers to understand existing processes and design improved, AI‑supported workflows.</li><li>Configure workflows to align with client preferences, practice‑area needs, and organisational standards.</li><li>Share proven approaches and best practices to support learning across the customer base.</li><li>Represent customer perspectives internally, translating feedback into clear, practical insights.</li><li>Partner with product and development teams to inform future improvements.</li><li>Support testing of new features, focusing on usability, accuracy, and real‑world application.</li></ul> Requirements: <ul><li>Admitted Attorney (LLB required; articles completed).</li><li>2–5+ years post‑admission</li><li>Exposure to complex legal workflows—corporate, commercial, litigation, regulatory or similar.( advantageous)</li><li>Confidence communicating with a range of stakeholders and delivering clear, engaging presentations or training</li><li>Ability to “translate” legal workflows into repeatable, technology‑enabled processes.</li><li>An interest in legal technology and curiosity about how AI can support better legal outcomes</li><li>Excellent relationship‑building, active listening and stakeholder‑management skills.</li><li>Data‑driven mindset with the ability to articulate value and ROI</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>Support performance analysis: Assist in conducting in-depth analysis across sales representatives, segments and territories.&nbsp;</li><li>You will help identify trends, pinpoint growth opportunities and diagnose execution gaps to support data-driven improvements.</li><li>Assist with compensation planning: Collaborate with sales operations, leadership and compensation teams.&nbsp;</li><li>You will help gather data and provide analysis for incentive and compensation plans that align with strategic goals and recognize high performance.</li><li>Contribute to quota planning: Support quota planning and development processes.&nbsp;</li><li>You will help with data reviews to ensure transparent and equitable business goals that reflect current market realities.</li><li>Maintain data hygiene: Assist in establishing and following protocols for data accuracy, consistency and security to support trustworthy decision-making across the commercial organization.</li><li>Provide dashboard and reporting support: Contribute to the design, build and maintenance of advanced dashboards and reports.&nbsp;</li><li>You will help ensure sales teams and senior leadership have access to actionable intelligence for business decisions.</li><li>Support market research efforts: Help conduct customer, market and competitor research.&nbsp;</li><li>You will assist in generating timely insights that guide commercial strategies and position company for long-term growth in a competitive market.</li><li>Assist with win/loss analysis: Help analyze deals won and lost to provide strategic insights on pricing.&nbsp;</li><li>You will support identifying drivers of sales outcomes and share recommendations for competitive approaches and sustainable growth.</li><li>Aid in forecast planning: Work with business leaders to support and improve sales forecast planning.&nbsp;</li><li>You will assist in integrating performance metrics, pipeline insights and external market trends to inform resource allocation.</li></ul> Requirements: <ul><li>Relevant educational background in data analytics, sales, revenue operations, marketing, finance, or a related field, including hands-on experience through coursework, projects, or internships.</li><li>Exceptional analytical skills with the ability to solve complex problems using clear and actionable data while translating into actionable business insights</li><li>Excellent communication skills, with the ability to clearly present data insights and recommendations to cross-functional teams and business leaders</li><li>Advanced Microsoft Excel skills, including experience with formulas, pivot tables, data modeling, and large dataset analysis</li><li>Strong organizational and project management skills, with the ability to manage multiple priorities and deadlines in a fast-paced environment</li><li>Deep commitment to ownership, continuous learning and taking proactive steps to improve business outcomes.</li></ul>

Responsibilities: <ul><li>Own the site-level RDA strategy and annual roadmap aligned to NAND TD technology nodes.</li><li>Lead analysis of experimental and production flows to detect, classify, and trend systematic and random defects.</li><li>Establish, track, and report program health metrics (baseline health, detection rates, false positives, MTTR).</li><li>Direct fast containment for defect excursions: trigger tool quarantines, define hold criteria, and lead 8D corrective actions.</li><li>Architect inspection recipes and sampling strategies; optimize sensitivity, throughput, and cost of ownership.</li><li>Partner with Process Integration, Yield, and Data Science to correlate inspection signals to device performance and yield.</li><li>Influence supplier roadmaps; evaluate, qualify, and release next gen optical/e-beam inspection capabilities.</li><li>Standardize and disseminate Best Known Methods (BKM) across global TD and manufacturing sites.</li><li>Mentor, coach, and upskill engineers; develop succession plans and technical ladders within the RDA domain.</li><li>Champion safety and continuous improvement (CIP); drive kaizen/lean initiatives that improve cycle time and learning velocity.</li></ul> Requirements: <ul><li>Bachelor’s degree with 7+ years relevant semiconductor experience, or Master’s/PhD with 5+ years.</li><li>Minimum 3+ years hands-on RDA experience in semiconductor manufacturing or equipment engineering.</li><li>Demonstrated expertise in defect inspection, process monitoring, and yield learning.</li></ul> Technical Competencies <ul><li>Realtime Defect Analysis (RDA) systems and workflows.</li><li>Optical and e-beam inspection technologies.</li><li>Statistical data analysis, correlation development, and large dataset interpretation.</li><li>Semiconductor process integration and technology development.</li><li>Root cause analysis and systematic problem solving (e.g., 8D, DMAIC).</li><li>Leadership &amp; Behavioral Competencies</li><li>Recognized technical authority with the ability to influence without direct authority.</li><li>Strong mentoring and coaching mindset with proven talent development outcomes.</li><li>Clear, concise communication skills across technical and executive audiences.</li><li>Ownership-driven, execution-focused; comfortable operating in ambiguity.</li><li>Impact &amp; Success Measures</li><li>Reduced defect-related yield loss and faster learning cycles.</li><li>On-time qualification and adoption of next-generation inspection capabilities.</li><li>Uplift in organizational RDA skill depth and succession pipeline.</li><li>Alignment of inspection strategy and capability to future NAND nodes.</li></ul>

Responsibilities: <ul><li>Responsible for various KPI’s pertaining manufacturing engineering and Team Management skills is must.</li><li>Responsible for assembly Process, Tool Design development, (New &amp; Old tools) Qualification and Trial</li><li>Improves manufacturing efficiency by analyzing planning workflow, space requirements, and equipment layout</li><li>Work with Global COE Assembly to drive continuous improvement in Assembly Technology / Process</li><li>Maintain proper documentation and for all assembly tooling, Spares and Process Set-up&nbsp;</li><li>Ensure all Tooling / automation design drawings (Soft &amp; Hard Copy) are up to date.</li><li>Impart trainings and development for new joiners, Technical Trainees etc.</li><li>Coordinate with Manufacturing Engineer for new product development and process improvement.</li><li>Assessing resource requirements and opportunity for Automation and Process Productivity improvement</li><li>Review of deployment</li><li>Review ISO documents and update, Engage in ISO audits.</li><li>Visit vendors for Assembly tooling assessment (Capability, Know How &amp; Capacity)</li><li>Monitoring of AM and PM and Effectiveness&nbsp;</li><li>Able to run the machine and instruct and train technicians to run the machine</li><li>CCD and PLC and Electrical Knowledge Preferably</li></ul> Requirements: <ul><li>Bachelor in Mechanical Engineering major or Electrical Engineering</li><li>10+ years’ experience and practitioner in the automation assembly and Tooling Design &amp; Development</li><li>CAD Knowledge Must, preferably Pro E / Creo &amp; Auto-cad, Solidworks, HMI (Human Machine interface).</li><li>DFM analysis, New automation or manual assembly / Tooling RFQ.</li><li>Assembly line Tooling &amp; Tool Debugging Knowledge.&nbsp;</li><li>Computer Knowledge, MS Office etc, SAP knowledge added advantage</li><li>Integrity; Accountability; Communication; Outgoing&nbsp;</li><li>Ergonomic and lean manufacturing practitioner</li><li>Advance digital acumen, MES (Manufacturing Execution System) and traceability.</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: <ul><li>Understand business cycles and talent needs to develop and strengthen workforce capabilities aligned with business objectives.</li><li>Support recruiting and staffing initiatives and guide managers on compensation decisions.</li><li>Manage Family and Medical Leave Act (FMLA) and leave benefits through external program providers.</li><li>Facilitate and develop HR-related training and resources for managers to strengthen leadership and people management capabilities.</li><li>Support compensation and benefits administration, payroll, and salary management activities.</li><li>Align HR priorities with business unit strategies while balancing broader HR functional goals.</li><li>Maintain a positive and productive employee relations environment.</li><li>Drive a culture of continuous improvement and operational excellence.</li><li>Act as a change agent to support transformation initiatives, learning, and development programs.</li><li>Support employee engagement, culture initiatives, and inclusion &amp; diversity programs.</li><li>Partner with value stream managers and supervisors to develop employee training programs.</li><li>Ensure effective onboarding, orientation, and employee assimilation processes.</li></ul> Requirements: <ul><li>Bachelor’s degree in Human Resources or related field.</li><li>3–5+ years of experience as an HR Generalist within a manufacturing environment.</li><li>Prior plant/manufacturing site HR experience preferred with expertise in Employee Relations, Talent Acquisition, Coaching, and Development.</li><li>Experience working within cross-functional teams and influencing stakeholders.</li><li>Ability to manage ambiguity, risk, and shifting priorities.</li><li>Strong understanding of employment laws and HR best practices.</li><li>Proven experience in HR Operations, Compensation &amp; Benefits, Talent Management, Employee Relations, and Labor Relations.</li><li>Continuous improvement mindset with strong operational execution.</li><li>Strong strategic thinking and hands-on execution capabilities.</li><li>Excellent communication, facilitation, and presentation skills.</li><li>Ability to build trust and credibility across all organizational levels.</li><li>Strong interpersonal, organizational, analytical, and process-oriented skills with a strong sense of urgency.</li></ul>

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45 machine learning Jobs found

Client Advisor

Facilities Supervisor III

Hybrid Bonding Technology Development Engineer

Legal Workflow Specialist

Forward Deployed AI Strategist

Sales Operation Analyst

Staff/Principal Engineer, NAND TD, RDA

Manufacturing Engineer

Senior Software Engineer AI

HR PARTNER II

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45 machine learning Jobs found

Client Advisor

Facilities Supervisor III

Hybrid Bonding Technology Development Engineer

Legal Workflow Specialist

Forward Deployed AI Strategist

Sales Operation Analyst

Staff/Principal Engineer, NAND TD, RDA

Manufacturing Engineer

Senior Software Engineer AI

HR PARTNER II

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

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COMPANY

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