Solution Engineer - AI Infrastructure

Data & Business Intelligence Analyst

 IIAD / SAD / LAD Artificial Intelligence Engineer

Central Demand Planner

Continuous Improvement Lead

Business Intelligence Developer

Sr. HR Manager

TA Coordinator - (12- month contract role)

Talent Partner- Executive Search and Talent Pipelining

Business Manager North East

Responsibilities: <ul><li>We are seeking a Solutions Engineer - Artificial Intelligence (AI) Practitioner to join our dynamic sales team. As an SE (AI Practitioner), you will consult and drive the adoption of our AI solutions across various industries.</li><li>You will identify potential clients, understand their specific needs, and provide tailored AI solutions that enhance their business operations.</li><li>This role requires a deep understanding of AI technologies, real world deployment experience and expert capability to relay business and technical concepts to a diverse audience.</li><li>The Cloud and AI Infrastructure team is responsible for helping customers change their business using Client technology in the data center and on cloud. The team works with customers, partners and engineering teams to take customer problems and turn them into business advantage.</li></ul> Requirements: Minimum Qualifications: <ul><li>10+ years of technology consulting experience (preferably in systems, software, data, analytics and AI).</li><li>Good understanding of programming/scripting languages</li><li>Ability to provide detailed and consumable documentation and standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise, and AI/ML solutions.</li><li>Be able to develop and showcase real world examples of how AI technology can help businesses thrive and solve problems.</li><li>Excellent presentation skills – ability to value-sell and deliver engaging workshops to both technical and non-technical audiences on AI and/or infrastructure topics. Preferred</li><li>Bachelors Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Advanced degree in Data Science is a plus.</li><li>Experience with AI relevant infrastructure, including Networking (InfiniBand and RoCE), Storage (FC, IP and scale out) and AI accelerators (GPUs etc).</li><li>In-depth understanding of AI models, including but not limited to GPT, Llama, Resnet or similar.</li><li>Experienced with data storage and management (SQL, NOSQL, Vector, BigQuery etc) and AI/ML frameworks (scikit-learn, TensorFlow, PyTorch, Jupyter, NIMS and NVAIE etc).</li><li>Expertise in training and fine-tuning AI models on premise or in cloud environments.</li><li>Familiarity with containerization (k8 etc).</li></ul>

Responsibilities: <ul><li>Dashboard Design and Development: Design, develop, and maintain interactive and user-friendly dashboards in PowerBI and Looker, focusing on clarity, performance, and data accuracy.&nbsp;</li><li>Data Lake Integration: Connect to and leverage data from various data lake sources on GCP, ensuring seamless data flow for visualization purposes.&nbsp;</li><li>Semantic Model Development: Develop and maintain robust semantic models in Looker (LookML) and PowerBI, ensuring data consistency, accuracy, and ease of use for reporting and analysis. This includes defining dimensions, measures, relationships, and calculations.&nbsp;</li><li>Machine Learning and GenAI Visualization: Create compelling visualizations to effectively communicate the results, performance, and insights derived from machine learning models and GenAI applications. This may involve visualizing model predictions, feature importance, natural language processing outputs, and other relevant data.&nbsp;</li><li>GCP Expertise: Utilize your strong understanding of GCP services to access, process, and prepare data for visualization. This may involve working with services such as BigQuery, Cloud Storage, and potentially data engineering pipelines built on GCP.&nbsp;</li><li>Collaboration: Partner closely with data scientists, data engineers, product managers, and business stakeholders to understand their data visualization needs and translate them into effective visual solutions.&nbsp;</li><li>Requirements Gathering: Elicit and document visualization requirements from various stakeholders, ensuring alignment with business objectives.&nbsp;</li><li>Performance Optimization: Optimize dashboard and visualization performance to ensure fast load times and efficient data rendering.&nbsp;</li><li>Data Quality Assurance: Ensure the accuracy, consistency, and reliability of data presented in visualizations.&nbsp;</li><li>Best Practices and Standards: Establish and enforce data visualization best practices and standards across the organization.&nbsp;</li><li>Training and Support: Provide guidance and support to other team members on data visualization tools and techniques.&nbsp;</li><li>Continuous Learning: Stay up to date with the latest trends and advancements in data visualization, PowerBI, Looker, GCP, and related technologies, particularly in the context of AI/ML.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s or master’s degree in computer science, Data Science, Statistics, Information Systems, or a related field.&nbsp;</li><li>Minimum of 3 years of experience as a Visualization Expert, Data Visualization Engineer, or a similar role.&nbsp;</li><li>Proven expertise in designing and developing interactive dashboards and reports using PowerBI and Looker.&nbsp;</li><li>Strong experience in connecting to and working with data lakes, preferably on the Google Cloud Platform (GCP).&nbsp;</li><li>Solid understanding and hands-on experience in developing semantic models, particularly with LookML in Looker and data modeling within PowerBI.&nbsp;</li><li>Preferable experience in creating visualizations specifically for machine learning and GenAI applications, understanding the nuances of presenting model outputs and insights.&nbsp;</li><li>Proficiency in SQL for data extraction and manipulation.&nbsp;</li><li>Familiarity with data warehousing concepts and data modeling techniques.&nbsp;</li><li>Experience with data preparation, ELT (preferred) / ETL processes.&nbsp;</li><li>Strong analytical and problem-solving skills with the ability to interpret complex data.&nbsp;</li><li>Excellent communication and presentation skills, with the ability to convey technical information to both technical and non-technical audiences.&nbsp;&nbsp;</li><li>Ability to work independently and collaboratively in a fast-paced environment.&nbsp;&nbsp;</li><li>Strong portfolio showcasing your data visualization skills and experience.&nbsp;</li></ul>

Responsibilities: Agentic AI Development:&nbsp;&nbsp; <ul><li>Design, build, and deploy agentic AI systems using frameworks such as LangChain, Lang Graph, and related libraries.&nbsp;&nbsp;</li><li>Develop and deploy multi-agent systems capable of autonomous decision-making, reasoning, planning, and collaboration.&nbsp;</li></ul> RAG Pipelines:&nbsp; <ul><li>Implement and optimize retrieval-augmented generation (RAG) systems, ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses.&nbsp;</li></ul> LLM Engineering:&nbsp; <ul><li>Fine-tune and prompt-engineer LLMs for task-specific reasoning, planning, and dynamic adaptation.&nbsp;</li><li>Work with LLM/SLM APIs, embeddings, and advanced generative AI techniques.&nbsp;</li></ul> Enterprise AI Platform:&nbsp; <ul><li>Lead the development of enterprise-grade AI platforms integrating LLMs, RAG, embeddings, and agentic AI protocols.&nbsp;</li><li>Implement and standardize Model Context Protocol (MCP) for consistent context management across models and agents.&nbsp;</li></ul> MLOps &amp; Observability:&nbsp; <ul><li>Establish and enforce best practices for MLOps, monitoring, and observability, ensuring scalable and maintainable AI solutions.&nbsp;</li><li>Applied AI Prototyping:&nbsp;</li></ul> Rapidly prototype, experiment, and iterate to improve AI agent capabilities.&nbsp; Collaboration &amp; Research:&nbsp; <ul><li>Participate in the full research cycle: literature review, data exploration, experimentation, and presentation of findings.&nbsp;</li><li>Collaborate effectively with other engineers, researchers, and data scientists.&nbsp;</li><li>Contribute to the documentation and standardization of technical code and practices.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related quantitative field. Master’s or Ph.D. is a strong plus.&nbsp;</li><li>5+ years overall experience in software development, data science, or machine learning.&nbsp;</li><li>1+ year of hands-on experience developing AI applications with LLMs and systems such as retrieval-based methods, fine-tuning, or agent-based architectures.&nbsp;</li><li>1+ year of experience with frameworks like LangChain, LlamaIndex, OpenAI, or similar tools.&nbsp;</li></ul>

Responsibilities: <ul><li>Lead the Global Demand Planning Cycle of the S&amp;OP process: Own and execute the monthly demand process from system handover to consensus sign-off. </li><li>Coordinate inputs from Sales, Product Management, and Finance, and ensure outputs feed into supply planning and S&amp;OP.</li></ul> Improve Forecast Accuracy:&nbsp; <ul><li>Drive measurable improvements in MAPE, Bias, and Forecast Adherence. Use data-driven techniques and root-cause analysis to understand gaps and implement corrective actions.</li></ul> Bridge Strategy and Execution:&nbsp; <ul><li>Translate commercial assumptions and market intelligence into an aligned, actionable forecast that drives capacity, procurement, and financial planning.</li></ul> Advance Tools and Reporting:&nbsp; <ul><li>Develop and maintain robust forecasting reports and KPIs using Excel, Power BI (or Tableau), and SAP IBP. </li><li>Push the team toward automated, visual, and insightful reporting.</li><li>Facilitate Consensus and Governance: Orchestrate monthly consensus meetings and prepare executive-ready materials that clearly communicate changes, assumptions, and risks.</li></ul> Support Constrained Planning:&nbsp; <ul><li>Collaborate with the Supply Planner to identify constraint-driven adjustments and simulate scenarios to evaluate trade-offs.</li><li>Enhance Collaboration and Accountability: Act as the single point of contact for demand planning across regions. Push for timely inputs, challenge assumptions, and ensure cross-functional accountability.</li></ul> Lead Process Improvements:&nbsp; <ul><li>Identify inefficiencies and design solutions—whether it’s template optimization, system enhancements, or training stakeholders on best practices.</li></ul> Support S&amp;OP Strategy:&nbsp; <ul><li>Contribute actively to the broader S&amp;OP cycle, including confidence-level strategies, forecast version control, and long-range planning exercises.</li></ul> Requirements: <ul><li>Bachelor’s degree in supply chain, Engineering, Business, or related field; Master’s preferred</li><li>Minimum 5 years of experience in demand planning or S&amp;OP in a multinational environment</li><li>Demonstrated ability to work independently and proactively influence cross-functional teams</li><li>High proficiency in Excel and Power BI (or Tableau); experience with SAP IBP is strongly preferred</li><li>Strong business acumen and communication skills; able to translate data into decisions</li><li>Fluent in English</li></ul>

Responsibilities: Program Development &amp; Strategy: <ul><li>Design and implement a holistic Continuous Improvement framework tailored to the Talent Hub’s global operations which enhances the existing foundation</li><li>Define revised vision, roadmap, and priorities aligned with business goals and transformation initiatives</li><li>Ensure that Lean principles, a CI mindset and agility are embedded into the DNA of the Talent Hub to drive performance and cost efficiency.</li></ul> Culture &amp; Capability Building: <ul><li>CI mindset across all functions and teams within the AUT Talent Hub including Integrated Service Excellence &amp; Business Analytics.</li><li>Develop and deliver in collaboration with the our client Practitioners and Experts training programs, workshops/Kaizen Events as well as coaching to build strong CI capabilities.</li></ul> Requirements: <ul><li>MBA with focus on Supply Chain, Operations or Quality from a Tier-1 Institute (like IIMs/ IITs/ NITs/ Nittie/ SP Jain, etc.)</li><li>3-5 years of work experience in Supply Chain, Operations or Continuous Improvement roles&nbsp;</li><li>Proven experience with Lean principles</li><li>Certification in Lean, Six Sigma or similar preferred</li><li>Excellent communication and stakeholder engagement skills.</li><li>Strong analytical, facilitation and change management skills&nbsp;</li><li>Experience in global/matrixed environments</li><li>Very deep knowledge on Supply Chain Management Processes</li></ul>

Responsibilities: <ul><li>Client is seeking a skilled Business Intelligence Developer to design, build, and maintain enterprise-scale data products and data sources using platforms like Tableau and Streamlit.</li><li>The ideal candidate will be a detail-oriented developer with strong technical skills who can translate business requirements into robust analytical solutions.</li><li>This role requires a mixture of business acumen and technical expertise, along with an ability to build strong partnerships and collaborate to solve problems.</li><li>Design, develop, and maintain interactive data products and reports in Tableau, Streamlit, and other BI tools.</li><li>Build and optimize data sources, ensuring data integrity and performance at enterprise scale</li><li>Collaborate with business stakeholders to gather requirements and translate them into technical specifications.</li><li>Develop scalable data product solutions that can accommodate growing user bases and data volumes.</li><li>Implement best practices for data product design, data modeling, and visualization techniques.</li><li>Monitor data product performance and user adoption, making improvements as needed.</li><li>Maintain documentation for data products, data sources, and development processes.</li><li>Troubleshoot and resolve technical issues with existing data products and data connections.</li><li>Support data governance initiatives by ensuring consistent data definitions and calculations across reports.</li><li>Participate in code reviews and maintain version control for BI development projects.</li><li>Stay current with BI tool updates and emerging visualization technologies.</li><li>Provide technical support to end users and assist with data product-related questions.</li><li>Contribute to the development of reusable components and templates for efficiency gains.</li></ul> Requirements: Qualifications <ul><li>3+ years in the data space as an analyst, engineer, or equivalent.</li><li>3+ years experience designing, implementing, operating, and extending enterprise dimensional models.</li><li>3+ years working with a large-scale data warehouse, preferably in a cloud environment.</li><li>3+ years of hands-on experience developing data products and reports in Tableau, including advanced calculations, parameters, and complex visualizations.</li><li>Experience with Streamlit or similar Python-based data product frameworks.</li><li>Experience with modern data stack technologies including cloud data warehouses (AWS/Snowflake) and ELT tools.</li><li>1+ years maintaining a project workstream to identify tasks, milestones, and deliverables.</li><li>Bachelors degree in Computer Science, Information Systems, Mathematics,</li></ul>

Responsibilities: Talent Acquisition &amp; Process Setup: <ul><li>Lead and manage end-to-end recruitment activities, with a special focus on field sales hiring (Medical Representatives, Key Account Managers, Technical Specialists, Sales Managers).</li><li>Build, implement, and continuously improve structured hiring processes and systems to ensure a strong, sustainable talent pipeline.</li><li>Partner with business leaders to anticipate manpower needs and align hiring strategies with business goals and growth plans.</li></ul> Strategic HR Leadership: <ul><li>Develop and execute HR strategies that align with the organization’s vision and growth plans.</li><li>Balance operational excellence with long-term strategic objectives.</li></ul>&nbsp;Organizational Development &amp; Culture: <ul><li>Design and implement initiatives to nurture a positive, collaborative, and performance-driven work culture.</li><li>Drive employee engagement and retention through programs that motivate and inspire teams.</li></ul>&nbsp;HR Operations &amp; Compliance: <ul><li>Ensure HR policies and practices are streamlined, compliant, and effectively communicated.</li><li>Oversee performance management processes and employee relations.</li></ul>&nbsp;Change Management: <ul><li>Champion transformation initiatives and guide the organization through periods of growth and change.</li></ul>&nbsp;Requirements: <ul><li>12 to 15 years of HR experience with proven success in talent acquisition (especially field sales hiring) and process establishment</li><li>Experience from medical device companies &amp; pharma/healthcare experience will be considered</li><li>Strong interpersonal and communication skills, with the ability to influence and collaborate with senior stakeholders</li><li>Hands-on, proactive, and solution-oriented approach to HR challenges</li><li>Demonstrated ability to balance immediate execution needs with long-term strategic goals</li></ul> Ideal Candidate Profile: <ul><li>A results-driven HR professional who thrives on building HR systems from the ground up, enjoys working in a fast-paced and growing business environment, and can translate strategy into actionable HR solutions.</li><li>The ideal candidate will bring industry insights from the medical device sector, possess strong experience in sales-force recruitment and capability building, and be committed to developing a scalable HR function that supports sustainable growth.</li></ul>

Responsibilities: <ul><li>Manage end-to-end hiring process: Source, resume screen, phone screen, schedule interviews, Offer documentation and onboarding.</li><li>Should possess expert knowledge and innovative skills to source and attract active &amp; passive talent from different sourcing channels (job boards, social media, referrals and local outreach to identify potential candidates for direct labor positions)</li><li>Communication and Stakeholder management is key to be successful in this role as you work with global stakeholders and matrix organization</li><li>Good understanding of the manufacturing industries in the local market, able to map talents, develop business intelligence for sourcing strategies and techniques</li><li>Should have good knowledge and hands-on experience in any applicant tracking systems (ATS) and be more system oriented to Maintain accurate and up-to-date records of all candidates in the ATS.</li><li>Should be able to collaborate well and build good working relationship with hiring managers, department heads and other stakeholders for understand and prioritizing their staffing needs.</li><li>Should be process oriented to comply with all recruiting and hiring practices aligning to our client global TA process/policies and comply with local legal and statutory requirements.</li><li>Should be data &amp; metrics driven and be able to independently provide regular updates to relevant stakeholders.</li></ul> Requirements: <ul><li>Should hold a University degree</li><li>2+ years of experience in end-to-end recruitment, preferred manufacturing background</li><li>Should have strong attention to details</li></ul>

About the client Our client is a global leader in talent solutions following a transformative partnership that creates a new market leader. With over three decades of trusted expertise and offices across the USA, UK, Switzerland, Hungary, Poland, Dubai, India, Singapore, and Hong Kong, they work with the worlds most influential and respected businesses on a truly global scale. They deliver research-driven talent mapping, pipelining, and executive search services to Fortune 500 and FTSE companies worldwide, utilising their cutting-edge talent intelligence capabilities to help organisations attract, hire, and retain exceptional talent across all markets. Role Purpose: <ul><li>The Talent Partner (Executive Search and Talent Pipelining) specialises in executive search to support leadership recruitment across our life sciences portfolio.</li><li>This role combines executive recruiting expertise with partnership skills to identify, attract, assess, and secure top tier talent.&nbsp;</li></ul> Responsibilities: Executive Search Recruiter: <ul><li>Partnering with TA teams and senior stakeholders to support comprehensive executive talent strategies aligned with business objectives and succession planning</li><li>Supporting complex executive search assignments for leadership positions</li><li>Building and maintaining executive talent pipelines</li></ul>&nbsp;Executive Candidate Experience: <ul><li>Delivering white-glove candidate experience throughout the executive search process from initial confidential outreach through successful placement</li><li>Conducting in-depth executive interviews focusing on leadership competencies, strategic thinking, and cultural alignment</li><li>Managing complex offer negotiations involving equity packages, executive compensation, and relocation requirements</li></ul>&nbsp;Search Process Excellence &amp; Market Intelligence: <ul><li>Executing comprehensive executive search methodologies including market mapping and competitive intelligence</li><li>Conducting advanced market research including industry analysis, compensation benchmarking, and talent landscape assessments</li><li>Developing comprehensive market reports and talent mapping studies for client presentations</li><li>Maintaining executive network and industry relationships for future search opportunities</li></ul> Requirements:&nbsp;Personal Attributes: <ul><li>Highest level of professionalism and discretion when handling confidential executive information</li><li>Cultural sensitivity and global perspective for international searches</li><li>Resilience and adaptability in managing high-stakes, complex search assignments</li></ul>&nbsp;Preferred Qualifications: <ul><li>Bachelors degree is a plus; MBA or advanced degree preferred, ideally with life sciences/pharmaceutical/biomedical or similar</li><li>Preferred experience within recruitment or professional environment</li><li>Life sciences industry knowledge or relevant experience preferred</li></ul>

Responsibilities: Dealer Relationship Management: <ul><li class="ql-indent-1">Build and maintain strong relationships with assigned dealers to drive revenue, volume, market share, and profitability.</li><li class="ql-indent-1">Communicate weekly with dealers and visit each dealer location at least once per month.</li><li class="ql-indent-1">Evaluate dealer sales performance and market share; recommend and implement corrective actions where needed.</li></ul> Sales Planning &amp; Execution: <ul><li class="ql-indent-1">Plan and forecast billing, retail orders, and ensure achievement of monthly, quarterly, and annual sales targets.</li><li class="ql-indent-1">Prospect and onboard new dealerships following established new dealer guidelines.</li><li class="ql-indent-1">Assist new dealers with merchandising programs, ordering processes, and dealership branding.</li></ul> Events &amp; Promotions: <ul><li class="ql-indent-1">Plan, participate, and support special events such as rodeos, corporate and dealer farm shows, and sporting events within the territory.</li><li class="ql-indent-1">Organize and conduct regional dealer meetings as required.</li></ul> Training &amp; Support: <ul><li class="ql-indent-1">Coordinate and deliver training for new dealers covering computer systems, sales processes, marketing programs, product knowledge, advertising, parts, and service.</li><li class="ql-indent-1">Collaborate with the Service Manager to facilitate product and sales training.</li></ul> Market Intelligence &amp; Product Feedback: <ul><li class="ql-indent-1">Conduct competitive intelligence and product-price positioning analyses to maintain a competitive advantage.</li><li class="ql-indent-1">Test and evaluate new products, recommend improvements, and suggest new product additions.</li></ul> Logistics &amp; Coordination: <ul><li class="ql-indent-1">Assist with the logistics of tractors/equipment for photo shoots, events, and other requirements within the territory.</li></ul> Requirements: Education &amp; Experience: <ul><li>Bachelor’s degree or minimum 5+ years of field sales/channel management experience in the construction, industrial, or agricultural equipment industry.</li><li>In-depth knowledge of product categories, dealership operations, and assigned territory.</li></ul> Skills &amp; Competencies: <ul><li>Strong ability to work independently with minimal supervision.</li><li>Excellent communication skills for interaction with dealers, vendors, employees, and all levels of management.</li><li>Proven ability to meet sales targets and deliver business growth.</li><li>Strong customer service orientation and problem-solving skills.</li><li>Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint, Outlook) and Internet tools.</li><li>Strong presentation skills for small and large group settings.</li><li>Ability to work collaboratively in a team environment.</li></ul> Other Requirements: <ul><li>Valid driver’s license with a clean driving record.</li><li>Willingness to travel 50–75% of the time.</li><li>Ability to lift 50 lbs unassisted.</li><li>Physical capability to sit, stand, walk, climb, balance, kneel, crouch, or crawl as required by the role.</li></ul>

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45 talent intelligence Jobs found

Solution Engineer - AI Infrastructure

Data & Business Intelligence Analyst

IIAD / SAD / LAD Artificial Intelligence Engineer

Central Demand Planner

Continuous Improvement Lead

Business Intelligence Developer

Sr. HR Manager

TA Coordinator - (12- month contract role)

Talent Partner- Executive Search and Talent Pipelining

Business Manager North East

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45 talent intelligence Jobs found

Solution Engineer - AI Infrastructure

Data & Business Intelligence Analyst

IIAD / SAD / LAD Artificial Intelligence Engineer

Central Demand Planner

Continuous Improvement Lead

Business Intelligence Developer

Sr. HR Manager

TA Coordinator - (12- month contract role)

Talent Partner- Executive Search and Talent Pipelining

Business Manager North East

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

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TALENT

COMPANY

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