HR Reporting Analyst

Senior Data Scientist II

Senior Data Scientist

Senior BI Developer - International

Associate Application Developer - Middleware WTXITX

Key Account Manager - Automotive

Gen AI Solution Architect

Data Scientist

Senior Applications Developer - SAP

Responsibilities: <ul><li>Collect, analyze, and report data on shared service operations, including performance metrics, service quality, and efficiency.</li><li>Identify and implement process improvements to enhance efficiency, reduce errors, and boost customer satisfaction.</li><li>Monitor shared service performance against targets and SLAs, reporting any deviations.</li><li>Communicate insights and recommendations to stakeholders through reports and presentations.</li><li>Develop and manage reporting tools and dashboards for real-time operational insights.</li><li>Ensure compliance with internal and external reporting standards to maintain high-quality service delivery.</li><li>Collaborate with operations, IT, and finance teams to gather data and contextualize findings.</li><li>Train staff on reporting tools and methodologies, providing support for reporting-related issues</li><li>Analyze trends to predict future performance and make strategic recommendations.</li><li>Conduct ad-hoc analyses based on management or departmental requests.</li><li>Utilize data visualization tools to highlight trends for leadership review.</li><li>Ensure the accuracy and integrity of generated data and reports.</li><li>Enhance existing reporting systems and explore new data presentation methods.</li><li>Stay informed on the latest reporting trends and technologies.</li></ul> Requirements: <ul><li>Bachelors degree in business, finance, economics, statistics, information technology, or a related field is often required.</li><li>2+ years of relevant experience in Reporting, Data Analysis, or a similar role</li><li>Database management and data warehousing knowledge</li><li>Experience with Workday and ServiceNow platforms and services</li><li>Strong analytical skills to interpret complex data and turn it into actionable insights (e.g., the ability to perform statistical analysis and use data visualization techniques)</li><li>Ability to work with precision to ensure accuracy in reports and data analysis</li></ul>

About the Role : <ul><li>As a data scientist on our team, you will work on new product development in a small team environment writing production code in both run-time and build-time environments.&nbsp;</li><li>You will help propose and build data-driven solutions for high-value customer problems by discovering, extracting, and modeling knowledge from large-scale natural language datasets including matter and contract repository, invoice/legal spend data and work management.&nbsp;</li><li>You will prototype new ideas, collaborating with other data scientists as well as product designers, data engineers, front-end developers, and a team of expert legal data annotators.</li><li>You will get the experience of working in a start-up culture with the large datasets and many other resources of an established company.</li><li>We are committed to advancing gender diversity within the technology sector and supporting greater representation of women in tech. To further this commitment,</li></ul> Responsibilities: <ul><li>Develop and implement LLM-based applications tailored for legal use-cases&nbsp;</li><li>Evaluate and help maintain our data assets and training/evaluation data sets&nbsp;</li><li>Design and build pipelines for preprocessing, annotating, and managing legal document datasets&nbsp;</li><li>Collaborate with legal experts to understand requirements and ensure ML-applications meet domain-specific needs&nbsp;</li><li>Conduct experiments and evaluate model performance to drive continuous improvements&nbsp;</li><li>Fine-tune and deploy large language models to enhance their performance on legal text processing tasks&nbsp;</li><li>Interface with other technical personnel or team members to finalize requirements.&nbsp;</li><li>Work closely with other development team members to understand complex product requirements and translate them into software designs.&nbsp;</li><li>Successfully implement development processes, coding best practices, and code reviews for production environments.</li></ul> Requirements:&nbsp; <ul><li>Able to work in person 2 days per week&nbsp;</li><li>Bilingual English and Spanish&nbsp;</li><li>Practical experience with large language models, prompt engineering, fine-tuning RAG-based applications and benchmarking, using frameworks such as LangChain&nbsp;</li><li>MS in Data Science, Computer Science, Statistics, Machine Learning, or relevant work experience&nbsp;</li><li>Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, Flair, BERT (ways to vectorize text data)&nbsp;</li><li>Formal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithms&nbsp;</li><li>Strong Python background&nbsp;</li><li>Knowledge of AWS, GCP, Azure, or other cloud platform&nbsp;</li><li>Understanding of data modeling principles and complex data models.&nbsp;</li><li>Proficiency with relational and NoSQL databases as well as vector stores (e.g., MySQL, Postgres, Solr, Elasticsearch/OpenSearch)</li><li>Knowledge of Spark-Scala, Ray or other distributed computing systems highly preferred&nbsp;</li><li>Knowledge of API development, containerization, and machine learning deployment highly preferred&nbsp;</li><li>Experience with ML Ops/AI Ops including experiment tracking tools like LangFuse and DVC&nbsp;</li><li>Experience with deep learning frameworks such as PyTorch, Tensorflow and Hugging Face Transformers Work in a way that works for you We promote a healthy work/life balance across the organization. </li><li>We offer an appealing working prospect for our people.&nbsp;</li><li>With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate. </li><li>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.</li></ul>

Responsibilities: <ul><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Leading the development of advanced AI and machine learning models to solve complex business problems Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Leading the automation and lifecycle management of sophisticated data systems. Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Designing APIs for disseminating data science outputs to various business units. Overseeing the scaling of production systems to meet growing demands.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Leading the development of advanced AI and machine learning models to solve complex business problems Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Leading the automation and lifecycle management of sophisticated data systems.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Designing APIs for disseminating data science outputs to various business units.</li><li>Overseeing the scaling of production systems to meet growing demands.</li></ul> Requirements: <ul><li>Possess an advanced or Masters education in Computer Science, Mathematics, Statistics, or a related field. Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.</li><li>Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.</li><li>Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.</li><li>Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.</li><li>Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests Possess advanced programming skills in Python, R, or other relevant languages for data analysis.</li></ul>

Responsibilities: <ul><li>Foster a culture of teamwork across the IT team and the organization</li><li>Mentor junior team members through their project delivery, support and customer service</li><li>Document reporting specifications as designated by the reporting consumer</li><li>Develop requisite reporting solutions</li><li>Shares responsibility in development of semantic models and data flows</li><li>Document and maintain governance information regarding data and objects in the reporting enterprise</li><li>Develop and assist in delivery of education material on tool and reporting object use</li><li>Analyze usage of reporting objects in the reporting enterprise</li><li>Shares responsibility with the greater BI team for ensuring quality and integrity of data in the data warehouse, ensuring consistency and synchronization between systems</li><li>Shares responsibility for maintenance and ensuring optimal performance of BI systems and tools</li><li>Perform requisite support of the BI Platform in line with Service Level Agreements, which may require 24/7 on-call support</li></ul> ﻿Requirements: <ul><li>Bachelor’s Degree preferred - Background in Computer Science, Engineering, Business, or related Discipline&nbsp;&nbsp;</li><li>Coursework in Statistics and/or Data Visualization desired</li><li>6-9 years working with Microsoft’s analytic tools (Power BI) with working knowledge of environment administration.</li><li>Participation in 4+ full lifecycle implementations involving new analytic capabilities and/or new data; at least 2 of the implementations in the capacity of the Lead for the reporting initiatives.</li><li>Working knowledge of Azure Data Factory, Azure Synapse, Azure Data Lake Gen 2, SQL, Power Automate, Power BI, Fabric</li><li>Translate business reporting requirements into technical specifications for EDW members</li><li>Ability to facilitate interactive design and functional specification sessions</li><li>Strong analytical problem-solving, and conceptual skills</li><li>Demonstrated track record in new concept development for a variety of projects and complex analytic artifacts</li><li>Passionate to share ideas, work with and mentor other members to ensure the success of the team</li><li>Solid communication skills (verbal, written, listening) and the ability to interact with all levels of company customers and members</li><li>Proactive, self-motivated with the ability to motivate others</li><li>Customer-focused service attitude</li><li>Good organizational skills, with the ability to meet objectives and day-to-day task management</li><li>Excellent technical documentation skills</li><li>Ability to generate and analyze requirements</li></ul>

Responsibilities: <ul><li>Analyze and gather requirements for new implementations and change requests.</li><li>Detailed Technical specification and mapping specification in coordination with cross technology Team.</li><li>Develops ITX typetrees, maps, and system related to the mapping specification.</li><li>Develops testing strategies for efficient and error free testing.</li><li>Coding with best practices in mind.</li><li>Collaborating with business analysts and business partners.</li><li>Post go-live support.</li><li>Involves in technical enhancements and automation of reprocessing of messages in case of environment outage.</li></ul> Requirements: <ul><li>Bachelor’s Degree or International equivalent</li><li>Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field – Preferred.</li><li>3 to 5 years of experience in Integration development, design, and implementation.</li><li>Minimum 2 years of experience performing in a WTX/ITX, IIB developer role with UNIX and PL/SQL hands on.</li><li>IBM WTX/ITX development, good knowledge and hands on experience on WTX tools including (MAP, Typetree, Database Integration Design, Integration Flow designer).</li><li>Knowledge in latest version of ITX 9.0/ 10.0 including Design studio, Partner manager setup and implementation.</li><li>IBM MQ development and knowledge on SSL, channels, queues and MQIPT.</li><li>Knowledge in various file format (XML, Flat file, JSON, EDIFACT) and implementing using ITX.</li><li>Hands on experience on SQL complex queries.</li><li>Understanding of Database, table views packages.</li><li>Unix server basic commands and shell script understanding</li><li>Strong analytical and design skills</li><li>Exhibit creative thinking while defining sound and practical solutions.</li><li>Self-starter with the ability to learn complex business processes.</li></ul>

Role Description: <ul><li>Marketing and Selling electrical/electronic components to key customers in Automotive Industry.</li><li>ROLE OBJECTIVE We are looking to hire an experienced key account manager to maintain solid relationships with the companys key customers.</li><li>The key account managers responsibilities include growing the companys revenue by ensuring that key customers are satisfied with the services provided, identifying new business opportunities, and attending all meetings, conventions and training workshops.</li></ul> Responsibilities: <ul><li>Managing Key Accounts with strong customer relationships for long-term success</li><li>Building strategies to increase CPV’s by promoting value propositions thru design speck inn’s &amp; Competition replacements.</li><li>Respond on new RFQ’s and developing new sales opportunities</li><li>Tracking accounts targets and ensure increased sales</li><li>Analyze data and sales statistics and improve business and marketing strategies.</li><li>Mapping competition activities &amp; preparing SWOT analysis to build further strategies.</li><li>Compiling reports on account progress, goals, and forecasts for internal teams and stakeholders</li><li>Developing a thorough understanding of key customers requirements and propose customized solutions</li><li>Communicating as the main point of contact between key customers and internal teams to ensure that customer needs are met</li><li>Negotiating contracts with key customers and meeting established deadlines for the fulfillment of long-term goals</li><li>Managing &amp; motivating the team to achieve the desired outcomes</li></ul> Requirements: <ul><li>BE/ B.Tech (Electronics, Mechanical), MBA (preferred)</li></ul>

Role Description: <ul><li>The AI Solution Architect will oversee the architecture for AI solution teams, focusing on modifying existing products and creating new ones.</li><li>The ideal candidate should be passionate about designing, building, implementing, and maintaining AI/ML/Generative AI applications.</li><li>Leadership skills are essential to implement the latest AI techniques and architectures and to continuously improve the AI/ML development, delivery, and operations process.</li><li>The role involves adhering to best practices from Software Engineering, DevOps, MLOps, and LLMOps.</li><li>The AI Solution Architect will also be responsible for translating project requirements into strategic architecture solutions, ensuring the integration of cloud-native tools from major hyperscalers and machine learning to create chatbots, optimizations, and cognitive services.</li><li>This role requires a blend of technical expertise and the ability to bridge the gap between intricate business challenges and transformative AI solutions, making it a strategically crucial position.</li></ul> Responsibilities: <ul><li>Define and oversee the AI/ML/GenAI technical direction and architectural vision, ensuring alignment with strategic goals and digital transformation efforts.</li><li>Data Analysis, Tool and Framework selection, Model Development, Testing and Deployment.</li><li>Key contributor in architecting a comprehensive AI Engineering framework that supports the deployment, evaluation, and management of ML models &amp; GenAI solutions.</li><li>Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools.</li><li>Understand and contribute to MLOps and LLMOps focusing on operational capabilities and infrastructure to deploy and manage machine learning models and large language models.</li><li>Collaborate with Enterprise, Application, Data &amp; DevOps Architects, Data scientists, Machine Learning &amp; GenAI Engineers, and Business teams to pilot use cases and discuss architectural design.</li><li>Develop and maintain contact with top decision makers, lead proposal development, and contribute to pricing strategies.</li><li>Audit AI tools and practices across data, models and software engineering focusing on continuous improvement and feedback mechanisms.</li><li>Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.</li><li>Own all communication and collaboration channels pertaining to assigned projects, including regular stakeholder review meetings and cross team alignments.</li><li>Work closely with the business, segment analytics, IT teams and partners to deliver the outcome and help drive adoption.&nbsp;</li><li>Hands-on prototyping of new technology solutions by working with cross teams</li></ul>&nbsp;Requirements: <ul><li>15+ Years of Experience operating on AWS Cloud or other cloud hyperscalers with building Data and AI Solutions</li><li>15+ Years of Experience Data Warehouses, Data Lakes and Data Modelling techniques</li><li>15 + years of experience in Data Science, Statistics, and Machine Learning</li><li>15+ years of experience in machine learning model development, natural language processing, and data analysis;</li><li>Experienced in Supervised and Unsupervised learning, feature engineering, model training, and deployment.</li><li>15+ years of experience in implementing cloud-based AI/ML workloads on any cloud hyperscalers (AWS, Google or Azure).</li><li>Good understanding and implementation experience on GenAI models available with Cloud hyperscalers. AWS Bedrock experience is a plus but not required.</li><li>15+ Years of coding experience with Python, R, SQL etc.</li><li>Hands on experience working with LLM/RAG/Finetuning</li><li>Experience working on Agile projects and Agile methodology in general.</li><li>Experience in configuration management tools and defining configuration management schema</li><li>Excellent problem solving, communications, and teamwork skills.</li><li>Exceptional presentation, visualization, and analysis skills</li></ul> Motivational/Cultural Fit <ul><li>Innovation demeanor Problem solving.</li><li>Passion for technology.</li><li>Self development.</li><li>Results driven.</li><li>Clear and concise communication both locally and globally.</li></ul> Competencies <ul><li>Values: Integrity, Accountability, Teamwork, Innovation.</li><li>Knowledge of business ethics and Ethical Sourcing Requirements.</li><li>Ability to influence at an Executive Level both internally and externally.</li><li>Ability to lead and influence peer groups both internally and externally.</li><li>Knowledge of Total Cost of Ownership methodology (TCO).</li><li>Distributor/Supplier dynamics &amp; business models.</li><li>Knowledge of critical procurement legal requirements and contracting best practices a plus.</li></ul>

Responsibilities: <ul><li>Implement business process improvements - automating manual processes, optimizing data delivery, redesign/restructure data and process flows for more efficiency.</li><li>Develop expertise and aim to become a subject matter expert on the entire data, analytics and process automation ecosystem.</li><li>Bridge process and technology gaps with innovative solutions using a variety of tools (e.g. Power Automate, Python, PowerApps, Selenium, SQL, UI Path etc.)</li><li>Develop and maintain ETL (Extract, Transform, Load) processes for data management.</li><li>Create visually appealing, intuitive and insightful dashboards and reports using data visualization tools (e.g. Power BI, Tableau).</li><li>Utilize statistical techniques to solve business problems and provide insights.</li><li>Present findings and recommendations to stakeholders in a clear and concise manner.</li><li>Collaborate with cross-functional teams to understand their data and process needs and provide analytical and digitization support.</li><li>Collaborate with DBAs, IT and Architecture teams as required</li><li>Be heavily involved in development and testing of newly integrated data sources and/or environments</li><li>Document data processes, methodologies, and analysis techniques for future reference and training purposes.</li></ul> Requirements: <ul><li>Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Industrial Engineering or a related field.</li><li>2+ years of experience as a Data Analyst, Digital Transformation Analyst or in a similar analytical/technical role preferably in a procurement or supply chain environment.</li><li>Experience with automation tools such as Power Automate, PowerApps, UI Path, Python, Selenium etc.</li><li>Experience with creating and managing databases in AWS, SQL Server, Oracle etc. and working with APIs to integrate systems.</li><li>Possess transferrable programming skills in any language (e.g. Python, C++, JavaScript etc.)</li><li>Proficiency in SQL for database querying and manipulation.</li><li>Experience with statistical analysis software (e.g., R, Python).</li><li>Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>Knowledge of Excel at an advanced level (Power query, macros).</li><li>Demonstrable willingness to learn new tools and technologies.&nbsp;</li><li>Strong analytical and critical thinking abilities.</li><li>Ability to explain technical processes to non-technical audiences.</li><li>Attention to detail and a proactive approach to problem-solving.</li><li>Ability to manage multiple projects and meet deadlines in a fast-paced environment.</li><li>Knowledge of machine learning algorithms and data modelling techniques.</li></ul>

Overview:He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives. This position provides knowledge and support for applications development, integration, and maintenance. He/She provides input to department and project teams on decisions supporting projects.Responsibilities:provides input, support, and performs full systems life cycle management activities (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.).participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements.provides input to applications development project plans and integrations.Performs systems analysis and design.Designs and develops moderate to highly complex applications.Develops application documentation.Produces integration builds.Performs maintenance and support.Supports emerging technologies and products.Requirements:Additional Skills:SAP BoBJ, reporting tools.SAP, WMS , logistics domain Qualifications:Bachelor’s Degree or International equivalentBachelor's Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred

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HR Reporting Analyst

Senior Data Scientist II

Senior Data Scientist

Senior BI Developer - International

Associate Application Developer - Middleware WTXITX

Key Account Manager - Automotive

Gen AI Solution Architect

Data Scientist

Senior Applications Developer - SAP

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HR Reporting Analyst

Senior Data Scientist II

Senior Data Scientist

Senior BI Developer - International

Associate Application Developer - Middleware WTXITX

Key Account Manager - Automotive

Gen AI Solution Architect

Data Scientist

Senior Applications Developer - SAP

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