Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Principal Platform Engineering – Digital Integration

AVP AI Solutions Management

Lead Field Service Engineer - Power Generation

IAD / SAD / LAD GCP Data Engineer

HR Business Partner IV

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

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

Responsibilities: <ul><li>Technical Leadership &amp; Strategy: Create long-term Integration Strategy and Roadmap, Define and implement Integration patterns &amp; standards</li><li>Technology Evaluation: Research, evaluate, and adopt emerging technologies, tools, and industry trends to enhance integration capabilities</li><li>Solution Architecture: Design scalable and reusable middleware components, including API gateways, message brokers, iPaas and application servers</li><li>Infrastructure Management: Deploy, manage and monitor integration solutions to ensure high availability, optimal performance and minimal downtime</li><li>Governance &amp; Standards: Establish and enforce best practices, security measures, and documentation standards for middleware platforms</li><li>Collaboration &amp; Leadership: Ability to work across teams, mentor engineers, and communicate technical strategies to stakeholders.</li><li>Experience: Substantial experience in multiple middleware technologies for architecture design, software development and system administration in both cloud-native and hybrid environments</li><li>Systems Thinking: Ability to evaluate, design and maintain future ready, secure, scalable digital integration solutions.</li></ul> Requirements: <ul><li>Minimum requirement of 8 years of relevant work experience. Typically reflects 12 years or more of relevant experience.</li><li>Technical Expertise: Strong proficiency with middleware technologies such as</li><li>Integration Platforms: Boomi, SAP BTP, MuleSoft</li><li>API Gateways: Kong, Layer7, Apigee</li><li>B2B/EDI: Open Text, Boomi, IBM Sterling</li><li>Messaging Queue: Kafka, Solace, Pulsar</li><li>Web/App Servers: WebLogic, WebSphere, Tomcat</li><li>Technical Services: Jira, GitHub, Azure DevOps, Datadog, AppDynamics</li></ul>

Responsibilities: <ul><li>Support the AI use-case intake process, gather requirements, and rapidly assess strategic fit, value, complexity, and feasibility.</li><li>Maintain an AI use-case/solution inventory; identify duplication and promote reuse of existing platforms and components.</li><li>Evaluate alignment to the company’s AI strategy, enterprise architecture, data strategy, and target operating model.</li><li>Help establish guidelines for build/buy/hybrid and create recommendation artifacts for leadership and governance bodies.</li><li>Assess candidate architectures across cloud services, data platforms, model choices (LLMs, classical ML, CV, NLP), and integration patterns.</li><li>Compare third-party SaaS/managed services with in-house custom builds and hybrids; estimate TCO, scalability, maintainability, and time-to-value.</li><li>Support vendor evaluations and small proof-of-concept efforts, reviewing items like security practices, data handling, SLAs, integration needs, and roadmap alignment.</li><li>Partner with Procurement/Vendor Management on contracting, licensing, data processing, and exit strategies.</li><li>Partner with Engineering, Data Science, and DevOps/MLOps to scope pilots and define success metrics and guardrails.</li><li>Ensure handoffs include documentation, controls, and operational readiness</li><li>Develop playbooks, patterns, and templates to support AI solution reviews, and help enable business and tech teams through training sessions and office hours..</li><li>Track portfolio outcomes (benefits, risk findings, reuse rate) and continuously improve intake and evaluation processes.</li></ul> Requirements: <ul><li>Software engineering and cloud architecture knowledge across AWS/Azure; APIs; event/microservices; observability.</li><li>Good understanding of AI/ML and LLM stacks (vector databases, embeddings, RAG, prompt engineering, guardrails).</li><li>Understanding of privacy/security controls in financial services (data classification, encryption, DLP, IAM, segmentation) and third-party risk.</li><li>Proven ability to translate business objectives into technical evaluation criteria and clear decisions.</li><li>Excellent written and verbal communication for executive-level summaries and deep-dive technical reviews.</li><li>Critical thinker with structured problem-solving and sound judgment</li></ul>

Role Description: <ul><li>Lead Field Service Engineer – Power Distribution Location: Spain Region Covered: EMEA Work Model: Hybrid / Field-based Travel: Up to ~50% across Europe</li><li>Role Overview We are hiring a senior Lead Field Service Engineer with deep technical expertise in Medium Voltage (MV) power distribution and switchgear systems.</li><li>This is a technical lead role supporting large-scale data center and critical infrastructure projects across Europe.</li><li>This is not a people management role, but a technical authority position supporting and guiding other field engineers on complex installations and commissioning activities. Required Technical Experience.</li><li>Strong hands-on experience with Medium Voltage switchgear and distribution systems.</li><li>MV mechanical installation and commissioning experience.</li><li>Experience with MV testing and commissioning tools (e.g., Omicron, Megger, T&amp;R, Fluke or similar) Protection relay and control scheme testing knowledge.</li><li>Experience creating SAT test plans and commissioning procedures.</li><li>Ability to interpret electrical drawings and protection schemes.</li><li>Experience with interlocking, inter-tripping, blocking, and I/O testing.</li><li>Background in data center, critical power, or large industrial electrical projects.</li></ul> Responsibilities: <ul><li>Lead installation, commissioning, testing, and maintenance of MV power distribution and switchgear equipment.</li><li>Execute site acceptance testing (SAT) and commissioning test plans.</li><li>Perform MV electrical testing and functional verification.</li><li>Act as primary technical point of contact during project execution.</li><li>Support and guide field service engineers on complex technical issues.</li><li>Review drawings, schemes, and specifications and flag gaps or risks.</li><li>Prepare RAMS (risk assessments and method statements).</li><li>Ensure strict adherence to electrical safety and LOTO procedures.</li><li>Support project managers to ensure delivery within timelines.</li><li>Interface with customers during installation and commissioning phases.</li><li>Deliver technical demonstrations and customer witness testing.</li></ul> Requirements: Preferred Qualifications: <ul><li>Electrical Engineering qualification or equivalent experience.</li><li>Typically 10+ years of relevant field service / commissioning experience Skills &amp; Competencies.</li><li>Strong troubleshooting and decision-making ability.</li><li>Technical leadership mindset</li><li>High safety awareness culture.</li><li>Strong customer-facing communication skills.</li><li>Ability to work independently on complex sites Willingness to travel extensively across EMEA Language.</li><li>English — required&nbsp;</li><li>Spanish — preferred but not mandatory</li></ul>

Responsibilities: Architecture &amp; Design:&nbsp; <ul><li>Design end-to-end data architectures that integrate real-time streaming (Kafka, GCP Pub/sub) and batch processing (Big Query OR Databricks).</li></ul> Pipeline Development:&nbsp; <ul><li>Build and maintain robust ETL/ELT pipelines flowing into BigQuery/Databricks, ensuring data is clean, modeled, and ready for consumption.</li></ul> Custom Integration:&nbsp; <ul><li>Develop custom APIs and microservices using Java/Python/C# to facilitate data movement between niche systems and the data lakehouse.</li></ul> Infrastructure Management:&nbsp; <ul><li>Deploy and manage data workloads on Google Kubernetes Engine (GKE), ensuring high availability and cost-efficiency.</li></ul> Technical Leadership:&nbsp; <ul><li>Mentor junior engineers, conduct code reviews, and establish DataOps best practices (CI/CD, automated testing, and monitoring).</li></ul> Data Reliability:&nbsp; <ul><li>Implement data quality frameworks to ensure accuracy and lineage across the hybrid environment.</li></ul> Requirements: <ul><li>Experience with Terraform &amp; Azure Dev Ops (ADO).</li><li>Knowledge of workflow orchestrators like Apache Airflow (Cloud Composer).</li><li>Experience implementing Data Governance (metadata management, data cataloging).</li><li>Data Processing &amp; Storage</li><li>BigQuery: Expert-level SQL and experience with partition/cluster optimization.</li><li>Databricks: Deep knowledge of the Lakehouse architecture, Delta Lake, and Spark (PySpark/Scala) Software Engineering &amp; APIs</li><li>Languages: Proficiency in Java/Python/C# for backend development and custom data connectors.</li><li>API Design: Proven ability to build and consume RESTful APIs for data ingestion Streaming &amp; Infrastructure</li><li>Kafka/GCP Pub-Sub: Experience building event-driven architectures and managing producers/consumers.</li><li>GKE: Proficiency in containerization (Docker) and orchestrating data workloads on Kubernetes.</li></ul>

Repsonibilites: <ul><li>Plant serves as a strategic business partner and trusted thought partner to Plant Leaders and in country senior Management.</li><li>This position is located on-site, but a hybrid work schedule will also be considered</li><li>Serve as the HR site leader for the Tullahoma facility, acting as a trusted advisor to site leadership and aligning HR support with key business initiatives.</li><li>Partner with the broader HR network to deliver strategic talent solutions, organizational design, and effectiveness initiatives, fostering a One HR mindset.</li><li>Provide guidance on leadership development, succession planning, and talent pipeline strategies to support long term organizational growth.</li><li>Champion diversity, engagement, and inclusion efforts, with a global mindset and focus on creating equitable access to development and information.</li><li>Coach and support managers on performance, team effectiveness, and employee development to enhance leadership capability and culture.</li><li>Lead and resolve complex employee relations matters, ensuring legal compliance and a respectful, inclusive workplace.</li><li>Design and implement talent development initiatives including stretch assignments, mentoring, and targeted training programs.</li><li>Lead HR project management efforts related to workforce transitions, organizational change, and process improvement initiatives.</li><li>Collaborate with cross-functional partners to deliver high-impact HR initiatives, ensuring clear communication, risk management, and timely execution.</li><li>Preferred: Experience supporting M&amp;A activities, including HR due diligence, integration planning, and workforce impact assessments.</li><li>Develop and manage detailed project plans for HR initiatives, including milestones, communications, and risk mitigation strategies</li></ul> Requirements: <ul><li>Bachelor’s or Master`s degree in business, Human Resource Management, Psychology, or any related field</li><li>10+ years of progressive, international, HR related experience; breadth of HR knowledge and skills in a variety of fields in international context, including Business Partner;</li><li>Experience in a manufacturing and or operations environment is strongly preferred.</li><li>Executive level and leadership experience; Experience influencing without authority Ability to influence, lead and drive execution into the functions/region through close partnership and collaboration with the broader HR function Proved track record in Organization Design, Change Leadership, Talent Management, and Organizational Development Ability to multi-task and work efficiently in a fast-paced, international matrix organization Strong project management and organizational skills.</li><li>Fluent English language skills Has advanced knowledge of regional labor laws and obligations and uses this knowledge to advise management, especially in conflict situations Excellent interpersonal, negotiation, and communication.</li><li>Ability to travel up to 10%</li></ul>

Overview: <ul><li>The ICT business unit HRBP – Plant serves as a strategic business partner and trusted thought partner to Plant Leaders and in country senior Management.</li><li>This position is located on-site, but a hybrid work schedule will also be considered Serve as the HR site leader for the Tullahoma facility, acting as a trusted advisor to site leadership and aligning HR support with key business initiatives.</li></ul> Responsibilities: <ul><li>Partner with the broader HR network to deliver strategic talent solutions, organizational design, and effectiveness initiatives, fostering a One HR mindset.</li><li>Provide guidance on leadership development, succession planning, and talent pipeline strategies to support long term organizational growth.</li><li>Champion diversity, engagement, and inclusion efforts, with a global mindset and focus on creating equitable access to development and information.</li><li>Coach and support managers on performance, team effectiveness, and employee development to enhance leadership capability and culture.</li><li>Lead and resolve complex employee relations matters, ensuring legal compliance and a respectful, inclusive workplace.</li><li>Design and implement talent development initiatives including stretch assignments, mentoring, and targeted training programs.</li><li>Lead HR project management efforts related to workforce transitions, organizational change, and process improvement initiatives.</li><li>Collaborate with cross-functional partners to deliver high-impact HR initiatives, ensuring clear communication, risk management, and timely execution.</li><li>Develop and manage detailed project plans for HR initiatives, including milestones, communications, and risk mitigation strategies.</li></ul> Requirements: <ul><li>Bachelor’s or Master`s degree in business, Human Resource Management, Psychology, or any related field 10+ years of progressive, international, HR related experience; breadth of HR knowledge and skills in a variety of fields in international context, including Business Partner; Experience in a manufacturing and or operations environment is strongly preferred.</li><li>Executive level and leadership experience; Experience influencing without authority.</li><li>Ability to influence, lead and drive execution into the functions/region through close partnership and collaboration with the broader HR function Proved track record in Organization Design, Change Leadership, Talent Management, and Organizational Development Ability to multi-task and work efficiently in a fast-paced, international matrix organization.</li><li>Preferred: Experience supporting M&amp;A activities, including HR due diligence, integration planning, and workforce impact assessments.</li><li>Strong project management and organizational skills Fluent English language skills Has advanced knowledge of regional labor laws and obligations and uses this knowledge to advise management, especially in conflict situations Excellent interpersonal, negotiation, and communication Ability to travel up to 10%</li></ul>

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8 hybrid Jobs found

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Principal Platform Engineering – Digital Integration

AVP AI Solutions Management

Lead Field Service Engineer - Power Generation

IAD / SAD / LAD GCP Data Engineer

HR Business Partner IV

HR Business Partner IV

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8 hybrid Jobs found

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Principal Platform Engineering – Digital Integration

AVP AI Solutions Management

Lead Field Service Engineer - Power Generation

IAD / SAD / LAD GCP Data Engineer

HR Business Partner IV

HR Business Partner IV

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

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TALENT

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Contact Us

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