Manufacturing Engineer

HR PARTNER II

Talent Acquisition Specialist

Data & ML Architect

EHS Analyst

Cost Accountant

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Senior Product Development Engineer

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: <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>

Responsibilities: <ul><li>Manage the recruitment process end to end&nbsp;</li><li>Keep an overview of our recruitment needs via regular meetings with our Hiring Managers.</li><li>Design job descriptions and interview questions that reflect the position’s requirements and attract talent to Company</li><li>Determining selection criteria for the open positions, in line with the Company-culture and strategy.</li><li>Sourcing of potential candidates through different sourcing channels</li><li>Screening of potential candidates and planning interviews and assessments</li><li>Run regular updates to hiring managers</li><li>Will need to make presentations to senior management</li><li>Organize and lead feedback sessions and coordinate the hiring decision</li><li>Proposing employment offers in line with Company guidelines</li><li>Run reference checks when needed</li><li>Ensure that the recruitment process is efficient, effective and equitable.</li><li>Implement employer branding initiatives, both internally and externally</li><li>Organize and attend job fairs and recruitment events</li><li>Foster long-term relationships with candidates</li><li>Conduct Hiring manager and Brand ambassador workshops</li><li>Maintain strong connections with HR colleagues within Company to share best practices</li></ul> Requirements: <ul><li>Work experience as a recruiter with relevant experience with average of 7-10 years</li><li>Familiarity with social media, resume databases and professional networks</li><li>Experience with headhunting for mid to senior positions</li><li>Hands-on experience with full-cycle recruiting using interview techniques.</li><li>Experience with assessments is a plus but not a must</li><li>Strong communication skills</li><li>Good relationship building skills</li><li>Growth mindset and learning agility</li><li>Passion and desire to make a difference</li></ul>

Responsibilities: Strategic Leadership: <ul><li>Set the vision and direction for data and AI architecture for project and client.</li><li>Influence enterprise data and AI strategies, driving adoption of best practices in data, ML, and AI architecture.</li><li>Mentor and develop junior architects and engineers, fostering a culture of technical excellence and innovation.</li></ul> Architectural Excellence: <ul><li>Architect and design enterprise-scale data platforms and ML/AI solutions for scalability, reliability, and performance.</li><li>Define and enforce data and ML architecture standards, patterns, and governance frameworks for data pipelines, ML workflows, and analytics platforms.</li><li>Lead solution design for integrating data from diverse sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services.</li></ul> AI &amp; ML Leadership: <ul><li>Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems.</li><li>Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models.</li><li>Evaluate and recommend emerging AI/ML technologies and platforms, driving innovation in intelligent data products.</li><li>Provide Ethical AI leadership to ensure intelligent solutions are implemented when required and in safe methods.</li></ul> Technical Leadership: <ul><li>Oversee data modelling (e.g. medallion architecture), data governance, and quality frameworks. Implementing technical reviews and driving high standards.</li><li>Collaborate with engineering and DevOps teams to establish CI/CD and MLOps architectures using Azure DevOps, Kubernetes, and Terraform.</li><li>Guide the selection and implementation of visualization and analytics tools (Power BI, Tableau, PowerApps).</li></ul> Stakeholder Engagement: <ul><li>Engage with senior stakeholders to translate complex business requirements into technical solutions and strategic roadmaps.</li><li>Ensure all solutions meet security, compliance, and performance standards, and align with enterprise architecture principles.</li></ul> Innovation &amp; Emerging Technologies: <ul><li>Apply modern data and AI architecture patterns (Cloud Native, Steaming/batch ingestion, Agentic AI Design) and leverage platforms such as AI/ML, Big Data, and Data Lakehouse.</li></ul> Requirements: <ul><li>Minimum 8 years’ experience client facing roles specializing in Data and Architecture roles.</li><li>Experience in both Agile and Waterfall project environments.</li><li>Strong stakeholder management and communication skills.</li><li>Security and compliance awareness.</li><li>Industry certifications (e.g., AWS Solution Architect, Azure Data Engineer, GCP Data Engineer).</li><li>Experience mentoring or managing technical teams.</li></ul>

Responsibilities: Planning; <ul><li>Initiate annual EHS training plan &amp; EHS internal audit plan in order to meet the department annual operating plan.</li></ul> Procedures &amp; Document Update; <ul><li>Review &amp; update EHS procedure according to internal &amp; external audit finding.</li><li>Initiate, update and execute EHS policies or procedures according to national laws and regulations or S.A.F.E or Global policies in order to fulfill company EHS system and make work efficient.</li></ul> Safety and Health Management: <ul><li>Submit application to Safety Bureau for Safety and Health Impact Assessment and other required permits or registration in order to meet the requirement of national laws and regulations.</li><li>Conduct Safety Standard Management review and follow in velocity EHS system.</li><li>Coordinate industrial hygiene monitoring, evaluation, medical surveillance in order to prevent occupational disease.</li><li>Maintain SAFE and environment tool with continuous improvement.</li><li>Follow up Incident investigation, correction and Injury Trend Analysis in order to prevent incidents.</li><li>Conduct canteen and dormitory inspection with Admin. to supervise food safety and fire safety,in order to prevent incidents.</li><li>Conduct contractor &amp; supplier EHS management, issuing non-routine high risk task permits, in order to prevent incidents.</li></ul> EHS Projects: <ul><li>Lead and follow up JSA, LOTO, Ergo, Machine Guarding,BBS, Nearhit reporting, PPE management, IH, Environmental and etc.</li><li>Coordinate the Kaizens and other EHS activities, in order to meet SAFE and 5 star requirement and prevent incidents.</li></ul> Audit; <ul><li>Implement routine EHS internal audit and examine;</li><li>Prepare necessary material or data sheet for S.A.F.E ,customer, local government, global audit;in order to ensure meet compliance requirements.</li></ul> Reporting &amp; Training: <ul><li>Prepare Monthly EHS performance report in order to present EHS performance;</li><li>Organize health and safety related training to employee in order to promote the awareness of health and safety."</li></ul> Requirements: <ul><li>Minimum 5+ years of EH&amp;S experience required;</li><li>Possesses a strong grasp of Malaysias EHS laws and regulations, EHS Greenbook,can conduct compliance assessments.</li><li>Autonomous ability in conducting audits and inspections of all aspects of EHS;</li><li>Good reading and writing in English &amp; Chinese</li><li>Skilled in leveraging Excel for data analysis, visualization, and tracking key metrics.</li></ul>

Responsibilities: Product Costing <ul><li>Calculate and maintain standard costs for products.</li><li>Determine labor rates and overhead absorption rates.</li><li>Maintain costing sheets and databases, including new product costing and pricing support.</li><li>Perform quarterly standard cost updates (cost roll).</li></ul> Cost Analysis <ul><li>Analyze and explain variances including:</li><li>Purchase price.</li><li>Material usage.</li><li>Labor and machine rates.</li><li>Efficiency and overhead.</li><li>Compare actual costs to standard costs and investigate deviations.</li><li>Identify root causes of cost fluctuations.</li><li>Analyze cost trends and evaluate cost behavior (fixed vs. variable).</li></ul> Month-End Activities <ul><li>Support month-end close with cost accounting entries.</li><li>Prepare journal entries with appropriate documentation.</li><li>Ensure accurate Cost of Goods Sold (COGS) reporting in P&amp;L.</li><li>Reconcile general ledger accounts with subledgers.</li></ul> Budgeting &amp; Forecasting Support <ul><li>Support preparation of cost budgets for operations/production.</li><li>Provide historical cost data for planning and analysis.</li><li>Calculate standard costs for budget models.</li><li>Monitor actual performance vs. budget.</li><li>Support forecasting through cost projections.</li></ul> Cost Optimization &amp; Business Partnering <ul><li>Identify cost reduction opportunities through data analysis.</li><li>Track and validate savings from cost improvement initiatives.</li><li>Partner with procurement on material cost updates.</li><li>Work closely with production on labor and overhead rates.</li><li>Provide cost insights to support operational decision-making.</li></ul> Requirements: <ul><li>Education &amp; Experience.</li><li>Bachelor’s degree in Finance, Accounting, Economics, or related field.</li><li>Professional accounting qualification is a plus.</li><li>Minimum 3+ years of experience in cost accounting (manufacturing environment preferred).</li><li>Experience in product costing and standard costing methodologies.</li><li>Exposure to SAP or similar ERP systems.</li></ul> Technical Skills <ul><li>Strong understanding of cost accounting principles and practices.</li><li>Advanced proficiency in Microsoft Excel.</li><li>Knowledge of Power BI and/or VBA is an advantage.</li><li>Familiarity with integrated systems and costing modules.</li></ul> Functional &amp; Industry Experience <ul><li>Experience working in a manufacturing or production environment.</li><li>Understanding of production processes, cost drivers, and operational workflows.</li><li>Hands-on exposure to plant-level costing and operational finance.</li></ul> Core Competencies <ul><li>Strong analytical and problem-solving skills.</li><li>High attention to detail and accuracy.</li><li>Structured and organized approach with the ability to manage multiple priorities.</li><li>Ability to work cross-functionally and collaborate with operations and supply chain teams.</li><li>Strong communication skills in English (written and verbal).</li></ul>

Responsibilities: <ul><li>Leading development of advanced AI Agentic tech.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Communicating findings and insights to stakeholders in a clear and concise manner.</li><li>Staying current with the latest AI and machine learning trends and technologies.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices</li><li>Driving best practices across our data science functions.</li><li>Setting strategy and team direction, with a clear vision for Data Science.</li><li>Working with product leaders to apply data science solutions..</li><li>Evaluating and creating new frameworks and defining methodologies and governance.</li><li>Leading small- to medium-sized teams (direct or indirect).</li><li>Setting a high bar for model development.</li></ul> Requirements: <ul><li>3+ years of people management experience.</li><li>7+ years of AI/ML experience.</li><li>Significant experience in managing larger technical teams (direct or indirect).</li><li>Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues.</li><li>Be a natural problem solver, able to take a lead in collaborating to resolve issues.</li><li>Have excellent communication skills and the ability to convey information clearly to senior stakeholders.</li><li>Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.</li><li>Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.</li><li>Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.</li><li>Experience with reinforcement learning, prompt engineering, hallucination mitigation.</li><li>Working understanding of the business risks associated with applying LLM in a business.</li><li>Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).</li><li>Strong coding skills in Python or another programming language.</li><li>Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders.</li></ul>

Responsibilities: <ul><li>Lead experimentation and model development for AI/ML solutions in legal products.</li><li>Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Proven experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Ability to define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Able to analyze large-scale legal datasets to extract insights and improve model performance.</li></ul>

Responsibilities: <ul><li>Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Education: Master’s degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Strong experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Strong foundation in statistics, modeling, and large-scale text processing.</li></ul>

Responsibilities: <ul><li>Manage the complete product development life cycle (starting from voice of customer, ideation, Design Conceptualization, Creation of product specifications, 3D design, Prototyping, Product testing, Product qualification, Project Execution &amp; Sustenance till product end of life)</li><li>Build a deep understanding of market and customer needs by fostering a connection between the business engineering teams and the customer engineering teams</li><li>Work closely with customer/sales/PM in getting the right and clear VOC (voice of customer), make engineering evaluation/proposal to customer.</li><li>Maintain a System level understanding of customer application and the cable design/concept necessary for providing a solution to the customers’ expectation.</li><li>Follow LEANPD Project Process to support project team from PDE perspective to complete Project (NPI or Sustaining) on time, quality and budget.&nbsp;</li><li>Drive the development and release of product, scale-up through stage-gate reviews, ensuring milestone commitments are maintained.</li><li>Technical support to customer, sales, PM and plant team.&nbsp;</li><li>Conduct necessary test, engineering analysis, trouble shooting and verification.</li><li>Work with global manufacturing resources, procurement, and outside suppliers to meet all company technical, quality, and cost objectives</li><li>Introduce breakthrough technologies by partnering technically with our customers worldwide and with our company Global competency centers to enhance business revenue &amp; growth.</li></ul> Requirements: <ul><li>Bachelor degree (Mechanical) required and Master is preferred</li><li>Knowledge about various phases of product realization and product development</li><li>Knowledge of state-of-the-art design tools such as 3D Computer Aided Design (CAD), modelling, Geometric Dimension &amp; Tolerancing (GD&amp;T), electrical &amp; electronic design and Simulation</li><li>Basic knowledge in manufacturing process (machining, molding, stamping, plating, etc.) will be a plus.</li><li>Basic knowledge in material (metal/plastic) properties will be a plus.</li><li>Knowledge of power distribution system and connection components.</li><li>Familiarity with power safety standards and agency approval of power connector/cable/cable assembly.</li><li>Basic FEA simulation on mechanical, mold-flow, and Thermal.</li><li>Familiarity with quality tools (FMEA, 6sigma, DOE, 8D…) will be a plus.</li><li>10+ years working experience as new product development related position and 5+ years of working experience on product developing of RF Products/Antennas.</li><li>Connector, especially Power/Industrial/Auto connector design background will be a plus.</li><li>Experience on power distribution inter/intra system is required.</li><li>This position is highly technical and requires an individual who can work independently.</li><li>Experience on product compliance certification (Product, Safety, Environment substance control)</li><li>Experience in design for manufacturing and assembly (DFMA), design for cost (DFC), design for manufacturing (DFM)</li><li>Application Engineering: Ability to understand customer requirements &amp; offer engineering solutions</li><li>Engineering management across cross functional teams: Developing technical roadmaps to align with market direction &amp; communicating it across business units, management &amp; customers to share applicable technology</li><li>Working together with global team.</li><li>Optimizing engineering &amp; innovation: Defining &amp; managing IP strategy &amp; constantly improving products through R&amp;D</li><li>Quick learning capability: Acquire the necessary skill set, assuring succession &amp; phase in the organization, procedure and culture.</li><li>Quality controller: Ability to assure quality for services, documents and prints.</li><li>Good presentation skills with usage of PowerPoint</li></ul>

Skills

Industry

Location

Jobtitle

55 cicd for machine learning Jobs found

Manufacturing Engineer

HR PARTNER II

Talent Acquisition Specialist

Data & ML Architect

EHS Analyst

Cost Accountant

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Senior Product Development Engineer

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

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

Skills

Industry

Location

Jobtitle

55 cicd for machine learning Jobs found

Manufacturing Engineer

HR PARTNER II

Talent Acquisition Specialist

Data & ML Architect

EHS Analyst

Cost Accountant

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Senior Product Development Engineer

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

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

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