Cost Accountant

Document Controller

Project Manufacturing Leader

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Packaging Technician

Warehouse Technician

Staff Advanced Quality Engineer (Software)

Senior Data Scientist - Machine Learning

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>

Role Description : <ul><li>This role supports project teams by controlling documentation for EPC projects—identifying, uploading and distributing engineering deliverables and maintaining electronic and hardcopy repositories with accurate indexing, revision control, metadata and access permissions.</li><li>It operates EDMS (SharePoint, ProjectWise), manages the change control lifecycle (issue/revise/approve/distribute/archive) and reviews documents for completeness and contractual/QMS compliance.</li><li>The role maintains traceability, transmittals and audit trails, prepares reports, supports technical reviews and handovers, follows up on pending reviews, and safeguards data integrity and confidentiality.</li><li>Control all documentation activities: identify, upload and distribute engineering deliverables.</li></ul> Responsibilities: <ul><li>Maintain electronic and hardcopy repositories with accurate indexing, revision control and retrieval.</li><li>Operate and administer EDMS (SharePoint, ProjectWise, etc.): uploads, metadata, permissions and folder structures.</li><li>Review drawings, specifications, change orders, submittals and vendor documents for completeness, format and contractual/QMS compliance; resolve discrepancies.</li><li>Manage the change control lifecycle: issue, revise, approve, distribute, archive and retire controlled copies.</li><li>Ensure documents are correctly dated, versioned and authorized prior to release.</li><li>Maintain traceability registers, revision histories, distribution lists, transmittals and audit trails.</li><li>Prepare transmittals, distribution notices, status updates and ad?hoc project reports.</li><li>Support technical reviews, coordination meetings and project closeout / handover documentation packs.</li><li>Proactively follow up on pending actions, approvals and overdue reviews.</li><li>Develop and maintain document procedures, metadata standards and templates; identify and implement improvements.</li><li>Provide day to day support for document access, retrieval, formatting/numbering and stakeholder queries, while maintaining access controls, data integrity and compliance with internal/ISO/contractual requirements.</li></ul> Requirements: <ul><li>Bachelor’s degree (any discipline) or equivalent.</li><li>2 to 6 years’ relevant document control experience, preferably in construction, engineering, manufacturing, oil &amp; gas or EPC project environments.</li><li>Experience supporting project QMS and contractual/client requirements is preferred.</li><li>Software Proficiency: Strong with MS Office (Word, Excel).</li><li>Experience with document management systems/EDMS such as Microsoft SharePoint, Bentley ProjectWise, DocuWare, or similar document control software. Familiarity with PDF tools and CAD/PDF handling.</li></ul>

Role Description: <ul><li>The Project Manufacturing Leader is a Project Core Team Member, in charge of the industrialization of all client production lines involved in a project Value Stream, across several client plant locations when applicable.</li><li>The PML is responsible for achieving key targets in terms of Industrial Timing, Capacity, Quality and Production Costs in line with the Planisware Work packages and deliverables on time completion (or Project LeanPD milestones) requirements. His/Her role is to define and implement the best Production System and line Concepts while ensuring that all client Global Auto industrial strategy and standards are followed.</li><li>PML involvement with a new project starts at RFQ, between G0 and G1 and lasts until SOP + 3 months.</li><li>The PML reports directly to the regional ME organization, to the PML Manager/Director and functionally to the Project Manager.</li></ul> Responsibilities : Design for Manufacturing : <ul><li>The PML participates in the Product Design activities led by the Product Design Engineering Team, contributing towards reaching a product design compliant with client Industrial Targets and allowing maximum Production Profitability.</li><li>He/She leads Technology and comparative studies in case of multiple options and ensures that Process Feasibility is optimal and validated by experts.</li></ul> Footprint and Make or Buy Studies: <ul><li>With the support of his management and considering inputs from the project team, the PML conducts a preliminary footprint analysis, including Make or Buy comparative Studies.</li><li>The PML submits the proposal to the Regional/Global Industrial Strategy team for final decision.</li></ul> Production System Definition: <ul><li>(Plant: Production System, Physical lay-out) In the early program Development phase, the PML organizes, leads and follows-up the Lean Industrial Design workshop activity, involving all Project and Plant Team functions, under coordination of the ME or Launch Director.</li><li>Based on the initial industrial assumptions, he/she builds the initial Plant internal Material &amp; Information Flow Diagram (MIFD)/VSM, Line lay-out, Plant lay-out with Production System and Logistics areas footprint calculations.</li><li>Before Program CER/Capex Committee Meeting, he/she leads the Tool and machine Design Workshop, out of which plant delivers the detailed</li><li>Production Line layout and Advanced VSM. Confirm the proposed Production System including traceability and conformity.</li><li>PML leads the assessment of any equipment refurbishment needs for the project relying on the appropriate internal or external experts and validate the effective equipment refurbishment timing and cost with vendors.</li><li>Job Description The PML identifies any Industrial risk, defines a back-up plan for critical processes and provides Industrial Impact on any Engineering Change Request.</li></ul> Process FMEA: <ul><li>PML participates in the definition of Key Product Characteristics (KPC) and Key Control Characteristics (KCC) He/She coordinates and leads the PFMEA methodology during program phase with active participation of Process Experts, including PLTL or Process Engineer.</li><li>Once the initial PFMEA is completed, ensure that actions are implemented with all updates included prior to handover to the Plant at Mass Production Trial (MPT).</li></ul> CER Committee: <ul><li>(Product Manager initially presenting because of Commercial discussion then Project discussion) PML ensures Capacity analyses are completed prior to adding new equipment to the project.</li><li>He/She optimizes Project Investment through Reuse, Bundling, Massification etc. He/She builds and monitors the detailed Project Investment List.</li><li>He/She prepares and leads the Project CER/Capex industrial Presentation, submitting CER request and approval follow-up after Project and Plant Managers have validated the investments.</li><li>Once CER is presented, he/she ensures timely CER submission/validation and follow-up in line with the industrial timing.</li></ul> Industrial Timing: <ul><li>PML builds, updates &amp; monitors the complete Project Industrial timing plan for tools, equipment, Packaging, traceability and associated processes to meet all internal (MPT) and external Customer milestones on time and right first time, from specification to final acceptance.</li><li>He coordinates Project Product Engineers and Supply Chain Engineers within the Project Team and track Plants readiness status in collaboration with the Plant PLTL.</li><li>The PML coordinates Traceability Implementation, Machine and tooling acceptance, tracking improvement actions with a robust PDCA where needed. Responsible to organize Tooling &amp; Equipment progress status reviews involving the plant PLTL.</li></ul> Industrial Performance <ul><li>PML defines and tracks main Industrial Performance indicators: - MMR and Work Content - Scrap Process rate - Process Capabilities - Capacity Status and Process Cycle Time, including Equipment Utilization Monitoring (data from plant) - Rework monitoring - Material Yield - Launch Costs consolidated in the Business Plan - Project Investment PML ensures that the most suited technical solutions for Project Financial KPI improvement are investigated through standard, automation, digitalization with payback analysis.</li></ul> PAC reviews: <ul><li>Reporting PML reports progress status on Manufacturing Work Packages and related program milestones. All PMLs participate in the PML -or regional ME Department weekly routine.</li></ul> Requirements: <ul><li>Masters degree in engineering, or equivalent professional experience.</li><li>Minimum 5 years of proven experience in production or industrial area preferably in automotive sector.</li><li>Strong ability to work in an international and multicultural environment with complex matrix organization. Team building and positive mindset.</li><li>Leadership with ability to interact and coordinate complex subjects with technical teams. Proactive with a vision of long-term impact and problem anticipation.</li><li>Knowledge in project management process, Quality Control tools in production, Lean Line Design.</li><li>Result oriented with strong written, verbal communication skills. Fluent English required.&nbsp;</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>

Role Description: <ul><li>The Production Technician II is an advanced-level technician role responsible for sterile pharmaceutical manufacturing operations, with additional expectations for technical troubleshooting, routine maintenance, and active support of qualification activities.</li><li>This position operates in an isolator-based manufacturing environment, works with high potent APIs and controlled substances, and plays a key role in ensuring compliance with cGMP, safety, and site procedures. </li><li>The Production Technician II serves as a technical resource within the production team and supports continuous improvement of manufacturing processes.</li></ul> Responsibilities: <ul><li>Operate, monitor, and adjust sterile manufacturing equipment for formulation, filling, and packaging of IV bag products in compliance with SOPs, cGMP, and safety requirements.</li><li>Perform routine preventive maintenance and minor repairs on production equipment to maintain optimal operating conditions.</li><li>Serve as first-line troubleshooting support for equipment and process issues, escalating to engineering or maintenance as required.</li><li>Support equipment and process qualifications, including protocol review, execution participation, and documentation completion.</li><li>Assist in the creation, revision, and implementation of SOPs and production-related procedures.</li><li>Provide training, guidance, and on-the-job support to Production Technician I personnel.</li><li>Perform cleaning, changeover, and line clearance activities to maintain manufacturing operations.</li><li>Accurately complete batch records, logbooks, and production documentation in compliance with data integrity requirements and cGMP practices.</li><li>Review documentation completed by fellow members of the production team.</li><li>Collaborate with Quality Assurance during in-process checks, deviation investigations, and CAPA activities.</li><li>Adhere to DEA and site procedures for controlled substance handling, including documentation and security protocols.</li><li>Work closely with cross-functional teams including Engineering, Validation, and Quality to support operational readiness.</li><li>Operate isolator technology, including performing and verifying sanitization steps, and supporting advanced troubleshooting.</li><li>Ensure controlled substances are handled, documented, and stored per DEA and site requirements.</li><li>Participate in continuous improvement and lean manufacturing initiatives to enhance safety, quality, and efficiency.</li></ul> Requirements: Qualifications/Experience <ul><li>High school diploma or equivalent required; associate degree or technical certification in a mechanical, engineering, or life sciences discipline preferred.</li><li>Minimum of 5 years’ experience in pharmaceutical or regulated manufacturing in areas of compounding, filling, inspection, and secondary packaging.</li><li>Experience with sterile products or IV bag production preferred.</li><li>Demonstrated mechanical aptitude with hands-on equipment troubleshooting and maintenance skills.</li><li>Knowledge of cGMP, aseptic processing, and controlled substance handling requirements.</li><li>Minimum of 3 years’ experience working with automated production equipment utilizing HMI or SCADA interface required.</li><li>Experience with isolator-based manufacturing strongly preferred.</li><li>Experience reading and following technical documents such as SOPs, maintenance procedures, electrical drawings, equipment arrangements, piping diagrams, and qualification protocols</li></ul> Skills/Competencies <ul><li>Demonstrated problem-solving and mechanical troubleshooting skills.</li><li>Ability to mentor and train less experienced technicians.</li><li>Excellent attention to detail and documentation accuracy.</li><li>Effective communication and teamwork skills.</li><li>Commitment to safety, quality, and data integrity.</li><li>At home working in cleanroom environments with PPE requirements.</li></ul>

Role Description: <ul><li>The Warehouse Technician will be responsible for executing material handling, inventory management, and warehouse operations in support of a sterile pharmaceutical manufacturing facility producing injectable IV bag products, including high potent APIs and controlled substances.</li><li>This role will ensure materials are received, stored, issued, and shipped in compliance with cGMP, DEA, and site safety requirements.</li><li>The Warehouse Technician will play a key role in maintaining accurate inventory records, supporting production schedules, and ensuring the cleanliness, organization, and security of the warehouse.</li></ul> Responsibilities: <ul><li>Receive, inspect, and verify incoming materials, components, and supplies against purchase orders and specifications.</li><li>Ensure proper storage of raw materials, packaging components, and controlled substances in compliance with cGMP, DEA, and safety requirements.</li><li>Accurately issue and deliver materials to production areas based on production schedules and work orders.</li><li>Operate warehouse equipment such as forklifts, pallet jacks, and material handling devices in a safe and compliant manner.</li><li>Perform cycle counts, physical inventory counts, and reconciliation of discrepancies in coordination with Inventory Control.</li><li>Maintain warehouse cleanliness, organization, and environmental conditions per site procedures and regulatory requirements.</li><li>Document all material transactions in the inventory management system, ensuring data accuracy and adherence to data integrity principles.</li><li>Prepare shipments of materials, components, or finished products in compliance with applicable regulations, including hazardous material handling requirements.</li><li>Support material sampling activities, including coordination with Quality Control for testing.</li><li>Assist in warehouse procedure creation, updates, and continuous improvement initiatives.</li><li>Ensure DEA security and access control measures are followed for controlled substances.</li><li>Collaborate with Production, Quality, Planning, and Procurement to ensure timely material availability for manufacturing operations.</li></ul> Requirements: Qualifications/Experience: <ul><li>High school diploma or equivalent required; Associate’s degree preferred.</li><li>Minimum of 2 years of warehouse or material handling experience in a cGMP-regulated pharmaceutical, biotechnology, or related manufacturing environment.</li><li>Experience handling controlled substances and/or high potent APIs preferred.</li><li>Knowledge of cGMP, DEA, and OSHA requirements for material handling and storage.</li><li>Experience operating forklifts and other warehouse equipment; forklift certification preferred.</li></ul> Skills/Competencies: <ul><li>Strong attention to detail and accuracy in documentation and inventory management.</li><li>Familiarity with inventory management systems and ERP software.</li><li>Ability to work effectively in a fast-paced, highly regulated environment.</li><li>Strong organizational skills with the ability to prioritize tasks.</li><li>Good communication and teamwork skills.</li><li>Commitment to safety, compliance, and maintaining a secure warehouse environment.</li><li>Ability to lift and move materials in accordance with safety guidelines.</li></ul>

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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56 cnc controlled grinding machine Jobs found

Cost Accountant

Document Controller

Project Manufacturing Leader

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Packaging Technician

Warehouse Technician

Staff Advanced Quality Engineer (Software)

Senior Data Scientist - Machine Learning

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56 cnc controlled grinding machine Jobs found

Cost Accountant

Document Controller

Project Manufacturing Leader

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Packaging Technician

Warehouse Technician

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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