Manufacturing Engineer

Process Engineering Manager

Data & ML Architect

Territory Sales Executive

Senior Data Scientist III - Agentic AI

SAP Basis Engineer

ERP Solution Architect- D365

Manager, Data Engineering

Sr. Manufacturing & Process Development Engineer

Senior Data 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>Own and lead the process engineering function for cleanroom assembly, end-of-line test and pre-packing, ensuring safe, compliant and capable processes that meet cost, quality, safety and delivery targets.</li><li>Define department objectives, KPI dashboard and governance (e.g., NPI definition and handover lead times, first pass yields, failure rates, quality qppm) and drive execution through standard routines and reviews.</li><li>Lead, coach and develop a team of process engineers / technicians; set clear expectations, provide performance feedback, support competency development and ensure effective succession and talent retention.</li><li>Plan and manage resources (headcount, skills, priorities) to support daily manufacturing needs, escalations, and strategic projects; balance workload across product series and value streams.</li><li>Own process engineering deliverables for NPI or transfer projects: feasibility, process concept, capacity planning, industrialization roadmap, and readiness reviews to ensure on-time SOP.</li><li>Lead cross-functional collaboration with Product Design, Quality, Production, Maintenance, Supply Chain and global counterparts to deliver robust processes supported by Design for Manufacturing / Assembly / Test (DFM / DFA / DFT) improvements.</li><li>Own the strategy and budget for process equipment, tools, fixtures, testers and workstations; approve specifications, manage procurement, acceptance, validation and release to production.</li><li>Drive continuous improvement programs (CIP / Darwin) to improve throughput, cycle time, productivity and cost; support CIP events and ensure sustained gains through standardization.</li><li>Ensure effective utilization of PFMEA and other quality tools to manage and mitigate quality risks during process development, acceptance and production release.</li><li>Develop engineering procedures to govern end-to-end process engineering activities across process design, definition, industrialization, handover, sustainment and continuous improvements.&nbsp;</li><li>Ensure upkeep of process work instructions in D365 via Process Control System as per global standards, including revisioning control based on valid change management procedures.</li><li>Ensure robust management of engineering changes (ECR), process changes and deviations, including impact assessment, validation and controlled implementation.</li><li>Own 8D problem-solving governance for process-related issues, ensure timely root-cause containment / corrective and preventive actions, lessons learned, and clear communication to stakeholders.</li><li>Drive safety, ergonomics and regulatory / ISO compliance for process engineering scope; ensure safe equipment and process design through risk assessments.</li><li>Drive the sustainable deployment of state-of-the-art engineering solutions on the assembly shop floor to enhance quality control through robust error-proofing (poka‑yoke) mechanisms and digitalizations.</li><li>Act as the site focal point to align with global and process engineering counterparts on technology roadmaps, best practices and standardization.</li><li>Manage departmental reporting, change control and communication: provide clear status updates, risks and mitigation plans to operations and leadership.</li><li>Support ad hoc tasks as assigned by superior.</li></ul> Requirements: <ul><li>8–12+ years’ experience in manufacturing/precision mechanical assembly (high-mix preferred), with demonstrated ownership of end-to-end process engineering (process development/industrialization, cleaning / helium leak testing, and controlled-environment or cleanroom assembly where applicable).</li><li>Bachelor’s/Master’s degree in Mechanical, Manufacturing, Industrial Engineering or equivalent; formal training in Lean/Six Sigma and structured problem solving will be added advantage.</li><li>Proven people leadership experience (hiring, coaching, performance management) with the ability to lead technical teams and influence cross-functional stakeholders to deliver manufacturing results.</li><li>Strong written and spoken English communication skills, including the ability to produce clear technical documentation, present KPI performance, and communicate risks / mitigation to leadership.</li><li>Strong understanding of mechanical / pneumatic / electromechanical systems, process equipment and tooling, with experience defining specifications, commissioning, qualification / validation and release to production.</li><li>Demonstrated ownership and governance mindset - sets clear standards, drives disciplined execution, and maintains strong internal / external customer focus.</li><li>Strong prioritization, planning and project management skills to manage multiple workstreams (daily support, escalations, NPI, CIP) under tight timelines and resource constraints.</li><li>Strong technical acumen in quality planning processes especially in definition of process controls based on PFMEA.</li><li>Data-driven operational leadership: builds KPI dashboards, drives root-cause problem solving (8D / A3), and delivers sustained improvements in yield, throughput / cycle time and qppm.</li><li>Strong stakeholder management and change leadership - able to drive alignment across Production, Quality, Maintenance, Supply Chain and global counterparts; comfortable leading reviews and escalations.</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>

Role Description: <ul><li>Seeking a technically strong and commercially driven Territory Sales Executive to support the execution of strategic account plans at a regional level across Southern Germany, Austria, and Switzerland.</li><li>This role focuses on activating distribution networks, influencing contractors, and ensuring successful deployment of solutions across enterprise customer branches.</li><li>Working closely with the Strategic Account Executive and Enterprise Account Team, you will act as the key link between headquarters strategy and on-the-ground execution across an extensive distributor and contractor network.</li></ul> Responsibilities: <ul><li>Execute the strategy defined by the Strategic Account Executive across assigned regional branches.</li><li>Develop and maintain strong relationships with local and regional distributors within the territory.</li><li>Coordinate closely with Enterprise Account Teams to ensure effective coverage of enterprise and large (Bracket I) accounts, including OEM centers.</li><li>Support and engage approximately 5 key wholesalers (HQ level) and their ~90 regional branches through training and activation initiatives.</li><li>Deliver product training and technical support across distributor branches and contractor networks.</li><li>Work directly with contractors as key influencers in the sales process, ensuring they are equipped to specify and promote solutions.</li><li>Implement channel strategies to drive revenue growth and increase market share through distribution partners.</li><li>Negotiate and manage local agreements, pricing structures, and performance metrics with distributors.</li><li>Conduct regular business reviews with partners to track performance and identify growth opportunities.</li><li>Ensure full alignment and communication between stakeholders across the value chain (HQ, branches, contractors).</li><li>Promote the full portfolio including compression, controls, and electronics as part of a 360° service offering.</li><li>Travel extensively within the assigned region.</li></ul> Requirements: <ul><li>Technical degree or apprenticeship in refrigeration engineering (mandatory: Mechatroniker für Kältetechnik or equivalent).</li><li>Minimum of 5 years’ experience in a technical sales, application engineering, or channel sales role.</li><li>Strong technical understanding of HVAC/R systems, including compressors, controls, and electronics.</li><li>Proven experience working with distributors, wholesalers, and contractor networks.</li><li>Excellent interpersonal and stakeholder management skills.</li><li>Ability to work autonomously while collaborating effectively within a matrix organization.</li><li>Native-level German language skills.</li><li>Strong proficiency in Salesforce or similar CRM systems.</li><li>High willingness to travel across Southern Germany, Austria, and Switzerland.</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>Designs, builds, and supports SAP platform solutions by applying sound engineering practices to ensure system stability, performance, and scalability.</li><li>Utilizes enterprise tools and methodologies to automate system deployments, transport, and administrative activities, enabling reliable and repeatable releases.</li><li>Collaborate with cross‑functional partners to translate moderately complex business and technical requirements into effective SAP Basis solutions.</li><li>Performs system validation, technical testing, monitoring, and troubleshooting to maintain the quality and availability of SAP systems.</li><li>Contributes to continuous improvement initiatives by identifying opportunities to enhance SAP Basis processes, automation, and operational efficiency.</li><li>Creates and maintains clear technical documentation for SAP landscapes, configurations, and operational procedures.</li><li>Provides technical support for moderately complex SAP Basis issues, ensuring timely resolution and minimal impact to business operations.</li><li>Drives automation and quality through the use of enterprise testing and deployment tools, including Tosca for test automation and qTest for test management, execution, and traceability.</li><li>Develops, executes, and maintains manual and automated test assets for SAP systems, ensuring end‑to‑end coverage across SIT, UAT, regression, and integration testing cycles.</li><li>Performs system validation, monitoring, defect analysis, and troubleshooting in partnership with development, security, and infrastructure teams to ensure reliability and performance.</li></ul> Requirements: <ul><li>Minimum requirement of 5 years of relevant work experience with SAP Basis.&nbsp;</li><li>Demonstrated expertise in SAP Basis engineering, with strong knowledge of SAP system architecture, technical landscape design, system administration, upgrades, transport, performance monitoring, and operational support across multiple SAP environments.</li><li>Experience managing and supporting SAP technical operations, including system availability, batch processing, interfaces, background jobs, monitoring, troubleshooting, and incident resolution in alignment with enterprise service expectations.</li><li>Proven ability to support SAP Fiori and UI technical components from a Basis perspective, including configuration, activation, performance support, and coordination with security and application teams.</li><li>Experience leveraging scripting and technical tools (such as SQL and automation utilities) to improve operational efficiency, support system analysis, and standardize SAP Basis activities.</li><li>Working knowledge of cloud‑hosted and hybrid SAP landscapes, including experience supporting SAP systems on platforms such as Microsoft Azure, AWS, or Google Cloud, with an understanding of infrastructure, connectivity, and platform operations.</li></ul>

Responsibilities: Design Authority Responsibilities <ul><li>Validate solution designs and ensure architectural consistency across modules and projects.</li><li>Conduct detailed design reviews for GAPs, FDDs, and technical specifications before Design Authority approval.</li><li>Identify integration and performance risks early in the design phase and guide mitigation strategies.</li><li>Support the Design Authority in ensuring end-to-end solution coherence, especially across Finance, SCM, Project Ops, and Sales.</li><li>Work closely with the Domain Architect ERP to ensure:</li><li>Alignment with our client ERP domain architecture and roadmap.</li><li>Adherence to Microsoft’s D365 best practices and upgrade paths.</li><li>System-critical modifications are designed and implemented with risk awareness.</li><li>Data migration and interface designs follow architectural standards.</li><li>Collaborate with Lead Consultants and Developers to ensure designs are feasible, efficient, and maintainable.</li></ul> Solution Delivery Responsibilities <ul><li>Provide hands-on architecture support to delivery teams during all project phases (Blueprint, Build, Test, Deploy).</li><li>Define and communicate solution patterns and reusable components to increase delivery efficiency.</li><li>Oversee the technical integrity of ERP solutions and their alignment with the target architecture.</li><li>Support complex problem-solving, performance optimization, and integration design.</li><li>Ensure compliance with our client ERP governance, documentation, and security standards.</li><li>Act as the quality gate for designs entering the Design Authority approval process.</li></ul> Requirements: <ul><li>Minimum 8 years of experience in Microsoft D365 ERP solution design and implementation, with deep knowledge across multiple modules (Finance, SCM, or Project Operations).</li><li>Proven experience as a Solution Architect or Senior Consultant in large-scale international ERP programs.</li><li>Strong understanding of D365 data models, integrations (Data Management Framework, Dual Write, APIs), and reporting (SSRS, Power BI).</li><li>Experience in solution governance, design validation, and architecture documentation.</li><li>Familiarity with Azure integration services, Power Platform, and lifecycle management tools (LCS).</li><li>Agile mindset, excellent problem-solving skills, and strong delivery orientation.</li><li>Ability to collaborate across functional and technical teams, ensuring alignment between design, build, and deployment.</li><li>Excellent communication skills and fluency in English (both written and verbal).</li></ul>

Responsibilities: <ul><li>DATA &amp; ANALYTICAL SOLUTIONS: Oversees the development of data products and solutions using big data and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.</li><li>DATA PIPELINES: Develops and monitors streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.</li><li>DATA SYSTEMS: Reviews existing data systems and architectures to lead identification of areas for improvement and optimization.</li><li>DATA INFRASTRUCTURE: Oversees the preparation of data infrastructure to drive the efficient storage and retrieval of data.</li><li>DATA FORMATS: Reviews and resolves appropriate data formats to improve data usability and accessibility across the organization.</li><li>STAKEHOLDER MANAGEMENT: Partners collaboratively with multi-functional data and advanced analytic teams to capture requirements and ensure that data solutions meet the functional and non-functional needs of various partners.</li><li>DATA FRAMEWORKS: Builds complex prototypes to test new concepts and provides guidance to implement data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.</li><li>AUTOMATED DEPLOYMENT PIPELINES: Oversees the development of automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.</li><li>DATA MODELING: Guides the team to perform data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.</li><li>TEAM MANAGEMENT: Manages team members to achieve the organizations goals, by ensuring productivity, communicating performance expectations, creating goal alignment, giving and seeking feedback, providing coaching, measuring progress and holding people accountable, supporting employee development, recognizing achievement and lessons learned, and developing enabling conditions for talent to thrive in an inclusive team culture.</li></ul> Requirements: <ul><li>Some experience in React, including hooks, context API, and state management libraries (Redux, Zustand)</li><li>Solid experience with JavaScript (ES6+), TypeScript, HTML5, CSS3.</li><li>Strong experience with C# and .NET Framework/.NET Core.</li><li>Solid understanding of object-oriented programming.</li><li>Experience with unit testing and mocking frameworks (e.g., xUnit, NUnit, Moq).</li><li>Familiarity with design patterns (e.g., Repository, Factory, Strategy).</li><li>Experience with SQL DBs, MySQL, Postgres, or MS SQL: writing queries, stored procedures, and performancetuning.</li><li>Knowledge of RESTful APIs and message-based systems.</li><li>Experience with relational databases and data access libraries (e.g., Entity Framework, Dapper).</li><li>Knowledge of ReactJS</li><li>Proficient in Git: branching, merging, pull requests, and version control workflows.</li></ul>

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

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

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39 mlops deployment Jobs found

Manufacturing Engineer

Process Engineering Manager

Data & ML Architect

Territory Sales Executive

Senior Data Scientist III - Agentic AI

SAP Basis Engineer

ERP Solution Architect- D365

Manager, Data Engineering

Sr. Manufacturing & Process Development Engineer

Senior Data Engineer

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Manufacturing Engineer

Process Engineering Manager

Data & ML Architect

Territory Sales Executive

Senior Data Scientist III - Agentic AI

SAP Basis Engineer

ERP Solution Architect- D365

Manager, Data Engineering

Sr. Manufacturing & Process Development Engineer

Senior Data Engineer

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