Manufacturing Engineer

Site Quality Leader

HR PARTNER II

Talent Acquisition Specialist

Commercial Finance Manager

Data & ML Architect

EHS Analyst

Cost Accountant

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

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>

Role Description: <ul><li>The Site Quality Leader is responsible for the administration, supervision, and development of the Wilsonville Quality Assurance and Quality Engineering functions.&nbsp;</li><li>This position is responsible for ensuring full compliance to the regulatory requirements of 21 CFR 820, ISO13485, MDR and other applicable regulations including production and process controls.&nbsp;</li><li>The Site Quality Leader will report to the Global Head of Quality Operations.</li></ul> Responsibilities: <ul><li>Ensure that Material Review Boards are in place to ensure products are appropriately dispositioned within a timely manner, while ensuring appropriate corrective and preventive actions are initiated and regulatory requirements are met.</li></ul>&nbsp;Develop and implement systems to assure that development as well as production teams receive support in the following areas: <ul><li>Quality planning, including inspection techniques and sampling methods</li><li>Statistical Analysis</li><li>Application of required regulatory standards</li></ul> Develop and implement procedures and systems to assure product manufactured for human use meets design and functional specifications. These systems are to include as a minimum: <ul><li>Delivery of raw materials and components</li><li>Manufactured devices and equipment</li><li>Documentation associated with these functions</li><li>Develop, track, and report on the following administrative systems:</li><li>Department metrics</li><li>Department objectives</li><li>Personnel development and training</li><li>Support regulatory agency and customer quality audits.</li><li>Ensure the conformity of the components and products are appropriately checked in accordance with the Quality Management System before release.</li><li>Responsible for assisting and training associates in concepts of probability and statistics.</li><li>Responsible for failure appraisal and analysis (internal and external).</li><li>Authority to place products or processes on hold.</li><li>Design and develop forms and instructions for recording, evaluating, and reporting quality data.</li><li>Corrective and Preventive Action program</li><li>Based on operational/quality requirements, assist in test equipment selection and validation.</li><li>Utilize formal problem solving techniques to resolve product and/or process related issues.</li><li>As required, lead cross-functional teams to support resolution of product and/or process related issues or objectives.</li><li>Work with suppliers of both raw materials and components, to improve product quality and/or resolve quality issues.</li><li>Be innovative, knowledgeable and intensely committed to ensure that every product and service we supply conforms to FDA and Quality System Regulations..</li></ul> Requirements: <ul><li>Bachelors Degree with a scientific or engineering emphasis.</li><li>ASQ Certified Quality Engineer recommended. Six Sigma Green/Black belt recommended.</li><li>7-10 years experience in a related regulatory environment.</li><li>Experience should include positions at senior levels within the medical device organizations.</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: <ul><li>Own Managerial P&amp;L planning and forecasting, delivering accurate and documented forecasts and budgets</li><li>Lead and own the India FP&amp;A calendar (cross functional view – connected with S&amp;OP and Regional timeline)</li><li>Accountable for managerial P&amp;L reporting in Campari group consolidation system.</li><li>Provide visibility on P&amp;L by SKU / brand / state / channel / customer down to GP and/or CAAP and by account.</li><li>Manage SG&amp;A in collaboration with functional leaders.</li><li>Provide clarity on business performance drivers and variations vs previous forecasts, Budget and prior years</li><li>Pilar of the S&amp;OP process, leading the Volume to value conversion and ensure consistency with commercial planning.</li><li>Provide management relevant and accurate analytics providing visibility on the R&amp;O and as such, enabling effective business decisions.</li><li>Secure integrity of the Depletions/sell out reporting by brand, by state, by channel.</li><li>Understand COGS variances in collaboration with regional supply chain finance team</li><li>Work in close collaboration with controlling team to secure DD and A&amp;P accruals accuracy, documentation and relevance at all time.</li><li>Support Revenue Optimization agenda, partnering commercial team to optimize revenue performance by customers/distributors/channel and maximize profitability.</li><li>Drive internal control &amp; operating efficiency of the promotional program and trade spend.</li><li>Support Key Account managers for trade terms negotiation, providing relevant analytics.</li><li>Develop standardized Value Chain supporting commercial team needs</li><li>Develop sound and reasonable business case for innovation/new product launch/footprint expansion</li><li>Drive ROI analysis for all key initiatives – maximization of investment, share learnings.</li><li>Continually work with functional teams to drive profitable growth and strive for continuous ongoing improvement.</li><li>Drive initiatives through increased focus on the effectiveness and profitability of sales spend and through the proactive identification of profit/growth opportunities.</li><li>Represent finance and challenge financial efficacy in key cross functional forums like Exec reviews, valuation meetings.</li><li>Develop tools to support cross functional team work and decision making and help improvement of internal processes.</li><li>Support projects led by group aiming at improving analytics and efficiencies across finance</li></ul> Requirements: <ul><li>8-10 years experience in commercial finance and FP&amp;A role. Ideally close working experience with sales and marketing/ supply chain in a commercial capacity, preferably in the liquor industry or FMCG.</li><li>Qualification – Chartered Accountant</li><li>Experience in Liquor industry preferred, FMCG essential</li><li>Advanced excel and strong power-point skills</li><li>SAP, Power BI, BPC&nbsp;</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>

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96 machine learning statistical modeling Jobs found

Manufacturing Engineer

Site Quality Leader

HR PARTNER II

Talent Acquisition Specialist

Commercial Finance Manager

Data & ML Architect

EHS Analyst

Cost Accountant

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

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96 machine learning statistical modeling Jobs found

Manufacturing Engineer

Site Quality Leader

HR PARTNER II

Talent Acquisition Specialist

Commercial Finance Manager

Data & ML Architect

EHS Analyst

Cost Accountant

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

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