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enterprise architect

Teradata

<div>
 
 Our company:
 
 
 
 At Teradata, we believe that people thrive when empowered with better information. That&rsquo;s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers&mdash;and our customers&rsquo; customers&mdash;to make better, more confident decisions. The world&rsquo;s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
 
 
 
 What you will do:
 
 
 
 As a senior product leader, you will drive the creation of Teradata&rsquo;s next-generation AI Marketplace from the ground up, redefining how AI/ML technologies are integrated into our global portfolio of enterprise-scale data and analytics platforms. Based in India, you will architect and lead the strategy for a groundbreaking AI Marketplace that empowers customers to leverage Teradata&rsquo;s VantageCloud and data warehouse capabilities through innovative AI-driven solutions.
 
 
 <ul>
 <li>
 Vision and Strategy: Define and champion the vision for the Teradata AI Marketplace, creating a scalable, enterprise-grade platform that enables seamless discovery, deployment, and management of AI models, tools, and applications.
 </li>
 <li>
 Marketplace Development: Lead the end-to-end development of the AI Marketplace, from conceptualization to launch, ensuring it delivers a robust ecosystem tailored for enterprise data and analytics workloads.
 </li>
 <li>
 AI Integration: Shape how AI/ML technologies are embedded into the Marketplace, enabling customers to harness VantageCloud and data warehouse capabilities for advanced insights, automation, and intelligent applications.
 </li>
 <li>
 Roadmap Leadership: Set and own the product roadmap for the AI Marketplace, balancing cutting-edge innovation with enterprise requirements for performance, governance, and compliance.
 </li>
 <li>
 Cross-Functional Collaboration: Partner with global engineering, data science, UX, and go-to-market teams to build a secure, intuitive, and high-performance Marketplace that meets enterprise needs.
 </li>
 <li>
 Customer-Centric Design: Engage with customers to understand their challenges and needs, ensuring the Marketplace delivers measurable value for mission-critical AI workloads in hybrid and multi-cloud environments.
 </li>
 <li>
 Ecosystem Development: Build and nurture partnerships with AI vendors, developers, and third-party providers to create a vibrant Marketplace ecosystem, driving adoption and innovation.
 
 
 </li>
 </ul>
 
 Who you will work with:
 
 
 
 On our team, we collaborate with engineering, cloud infrastructure, data science, UX, and governance functions to bring next-generation AI capabilities into Teradata&rsquo;s enterprise ecosystem. We are responsible for the product vision, roadmap, and execution of AI initiatives, ensuring they meet both business and technical objectives.
 
 
 This role reports to the
 
 SVP of Product Engineering
 
 and will partner closely with product engineering and platform leaders worldwide. You will act as a strategic AI product leader for Teradata, influencing global product direction.
 
 
 
 What makes you a qualified candidate:
 
 
 
 <ul>
 <li>
 Degree from top tier IIT in Computer Science, Data Science, Engineering, or related field (PhD preferred).
 </li>
 <li>
 15+ years of product management experience, including 5+ years leading AI/ML or advanced analytics products.
 </li>
 <li>
 Deep technical expertise in AI/ML concepts including LLMs, foundation models, supervised/unsupervised learning, fine-tuning, inference pipelines, and multi-modal AI.
 </li>
 <li>
 Proven success embedding AI into enterprise-scale platforms, especially in data management, analytics, or cloud environments.
 </li>
 <li>
 Strong technical fluency with AI infrastructure &mdash; including distributed training, inference optimization, GPU/accelerator integration, and workload orchestration.
 </li>
 <li>
 Experience defining APIs, SDKs, and developer integrations for enterprise AI adoption.
 </li>
 <li>
 Demonstrated knowledge of hybrid and multi-cloud architectures and their impact on AI performance, scalability, and cost optimization.
 </li>
 <li>
 Familiarity with governance and compliance frameworks (HIPAA, GDPR, SOC2) and applying them to AI/ML solutions.
 </li>
 <li>
 Exceptional communication skills with the ability to influence C-level stakeholders and articulate AI product strategy.
 </li>
 <li>
 Track record of customer engagement, market analysis, and competitive benchmarking in enterprise software.
 
 
 </li>
 </ul>
 
 What you will bring:
 
 
 
 <ul>
 <li>
 Expertise in optimizing AI workloads across cloud and hybrid environments, ensuring cost-efficiency and performance at scale.
 </li>
 <li>
 Hands-on knowledge of GPU, TPU, and emerging accelerator technologies for training, inference, and fine-tuning AI models.
 </li>
 <li>
 Ability to bridge AI model development with structured and unstructured enterprise data at petabyte scale.
 </li>
 <li>
 A strong understanding of responsible AI, including fairness, explainability, auditability, and bias detection.
 </li>
 <li>
 Vision to anticipate industry trends and position Teradata&rsquo;s AI offerings as differentiated and enterprise-ready.
 </li>
 <li>
 Passion for enabling intuitive, AI-powered user experiences (e. g. , natural language query, automated insights, intelligent automation).
 </li>
 <li>
 Ability to operate as a senior executive IC &mdash; setting strategy, guiding technical direction, and influencing globally without direct people management responsibilities.
 
 
 </li>
 </ul>
 
 Why we think you will love Teradata:
 
 
 
 We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are
 
 
 
 Why We Think You&rsquo;ll Love Teradata
 
 
 
 We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
 
 
 Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. &ZeroWidthSpace; We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.
</div>

Principal Product Manager - AI Marketplace

Xemplar Insights

<div>
 
 
 
 Must Have Skills:
 
 
 
 <ol>
 <li>
 Machine learning techniques: regression, classification, clustering, deep learning
 </li>
 <li>
 Programming languages: Python, R
 </li>
 <li>
 Machine learning libraries: TensorFlow, scikit-learn, PyTorch
 </li>
 <li>
 Data wrangling, feature engineering
 </li>
 <li>
 Model validation and testing
 </li>
 <li>
 Cloud platforms, distributed computing, big data technologies
 </li>
 </ol>
 
 
 
 
 
 
 Nice to Have Skills:
 
 
 
 <ol>
 <li>
 Knowledge of P&amp;C Insurance domain
 </li>
 <li>
 Experience working with US-based customers
 </li>
 <li>
 Experience in leading teams or projects
 </li>
 <li>
 Experience with high-performance computing
 </li>
 <li>
 GenAi Skills, Experience with LLMs.
 </li>
 </ol>
 
 
 
 
 
 
 Job Responsibilities of this position:
 
 
 
 
 1. Architect the design and development of AI/ML predictive models that significantly enhance decision-making processes for clients, leveraging their own historical data sets and industry insights.
 
 
 2. Engage with senior executives and key stakeholders to fully understand their business needs, strategic objectives, and data requirements, ensuring the AI/ML models are precisely tailored to deliver maximum business value.
 
 
 3. Oversee the implementation, testing, and validation of machine learning algorithms, ensuring that the models are not only accurate but also scalable, reliable, and robust for enterprise-level production environments.
 
 
 4. Collaborate cross-functionally with product managers, engineers, and data scientists to integrate AI/ML models into Xemplar&rsquo;s product ecosystem, optimizing performance and efficiency across multiple teams.
 
 
 5. Provide expert analysis and interpretation of complex data sets from various sources, delivering actionable insights that inform business decisions and improve the accuracy and predictive power of models.
 
 
 6. Stay ahead of emerging AI/ML trends and innovations, actively incorporating cutting-edge research, techniques, and best practices into the modeling and development processes.
 
 
 7. Drive the technical vision and strategic direction for AI/ML initiatives, mentoring and guiding less experienced team members while also establishing best practices and a culture of continuous improvement.
 
 
 8. Partner with business analysts, frontend, mid-tier, and backend developers to ensure the development, deployment, and performance of production applications that effectively utilize AI/ML models to deliver real-world impact.
 
 
 
 
 
 Required Relevant Experience:
 
 <ol>
 <li>
 5+ years of experience in developing and deploying AI/ML predictive models in production environments, with a strong portfolio of successful enterprise-scale projects and solutions.
 </li>
 <li>
 Expertise in machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and deep learning.
 </li>
 <li>
 Advanced proficiency in programming languages such as Python, R, or similar, and mastery of machine learning libraries (e.g., TensorFlow, scikit-learn, PyTorch).
 </li>
 <li>
 Extensive experience with data wrangling, feature engineering, and working with large, complex, high-volume datasets.
 </li>
 <li>
 Proven track record in model validation and testing, ensuring models are robust, reliable, and scalable across different use cases and environments.
 </li>
 <li>
 Deep understanding of the P&amp;C Insurance domain, with specific experience in areaslike claims prediction, risk modeling, pricing optimization, and customer segmentation.
 </li>
 <li>
 Strong ability to communicate complex technical concepts to senior, non-technical stakeholders, influencing decision-making at the highest levels.
 </li>
 <li>
 Significant hands-on experience working with both structured and unstructured data atscale, with expertise in cloud platforms, distributed computing, and big data technologies.
 </li>
 <li>
 5+ years of experience in predictive model development, data mining, statistical modeling, and high-performance computing in complex enterprise environments.
 </li>
 </ol>
 
 
 
 
 
 
 
 
 Years of experience required:
 
 3 to 5+ years
 
 
 
 Location:
 
 Hyderabad
 
 
 
 Mode of work:
 
 Work of Office (All 5 days a week Work from office)
 
 
 
</div>

Data Scientist

ValueMomentum

<div>
 
 Job Title:
 
 AI/ML Lead
 
 
 
 Job ID:
 
 POS-16044
 
 
 
 Primary Skill:
 
 AWS Services
 
 
 
 Location:
 
 Hyderabad
 
 
 
 Experience:
 
 9.00
 
 
 
 Secondary Skills:
 
 GenAI, Langchain,LLMs, and RAG
 
 
 
 Job Location:
 
 Hyderabad
 
 
 
 Mode of Work:
 
 Work From Office
 
 
 
 Experience
 
 
 :
 
 7-12 Years
 
 
 
 About The Job
 
 
 
 We are seeking an AI Architect to join their team in Erie, PA. We are looking for a senior data scientist/agentic AI architect with heavy ML/MLops experience (strong Python) who can evaluate and implement models that are provided by the enterprise and act as Lead Engineer. We are really searching for someone who can analyze the models and select which model can be used for which situation. The Senior/Lead ML Engineer will need deep ML knowledge but will not be building models from scratch, but potentially making them more efficient, implementing them, analyzing them and assisting with metrics and future plans with a focus on agentic AI (workflows).
 
 
 
 Know Your Team
 
 
 
 At ValueMomentum&rsquo;s Technology Solution Centers, we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&amp;C insurance value chain. We achieve this through a strong engineering foundation and by continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas:
 
 Platforms, Infra/Cloud, Application, Data, Core, and Quality Assurance
 
 .
 
 
 Join a team that invests in your growth. Our Infinity Program empowers you to build your career with role-specific skill development, leveraging immersive learning platforms. You'll have the opportunity to showcase your talents by contributing to impactful projects.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead the design and development of an Agentic AI platform
 </li>
 <li>
 Architect and implement core systems for agent-based AI workflows
 </li>
 <li>
 Design and deploy LLM-based pipelines, agent orchestration, and vector-based memory systems,
 </li>
 <li>
 Develop and optimise ML models, pipelines, and orchestration logic
 </li>
 <li>
 Ensure the integration and compatibility of network, IDAM (Identity and Access Management), Active Directory, key vaults, and other security-related components within the self-service platform.
 </li>
 <li>
 Provide technical leadership and guidance to development teams on leveraging the self-service platform for their AI-based initiatives.
 </li>
 <li>
 Collaborate with stakeholders to define key performance indicators (KPIs) and establish metrics for measuring the effectiveness and adoption of the self-service platform with improved developer experience.
 </li>
 <li>
 Stay abreast of industry trends, best practices, and regulatory requirements related to cloud computing, DevOps, network, security, and platform modernisation.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s / master&rsquo;s degree in computer science, Engineering, or a related field (or equivalent work experience).
 </li>
 <li>
 Programming Languages: Proficiency in Python is essential.
 </li>
 <li>
 Agentic AI : Expertise in LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK
 </li>
 <li>
 Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, and AutoML; Deep expertise in machine learning, system architecture, and AI agent frameworks to build scalable, autonomous systems
 </li>
 <li>
 Generative AI: Hands-on experience with generative AI models, RAG architecture, and Natural Language Processing (NLP)
 </li>
 <li>
 Cloud Platforms: Familiarity with AWS
 </li>
 <li>
 Data Engineering: Proficiency in data preprocessing and feature engineering
 </li>
 <li>
 Version Control: Experience with GitHub for version control
 </li>
 <li>
 Data Science Practices: Skills in building models, testing/validation, and deployment
 </li>
 <li>
 Collaboration: Experience working in an Agile framework
 </li>
 <li>
 RAG Architecture: Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search
 </li>
 <li>
 Understanding of AWS services such as EC2, S3, VPC, IAM, Lambda, API Gateway, and others.
 </li>
 <li>
 Knowledge in infrastructure as code (IaC) tools such as Terraform,.
 </li>
 <li>
 Understanding of cloud security best practices, compliance standards, and governance frameworks.
 </li>
 <li>
 Experience with containerization technologies (e.g., Docker, Kubernetes) and serverless computing.
 </li>
 <li>
 Experience with DevOps practices, including CI/CD pipelines, configuration management, and automated testing.
 </li>
 <li>
 Experience in network architecture, IDAM (Identity and Access Management), Active Directory, key vaults, and other network and security-related components.
 </li>
 <li>
 Excellent problem-solving skills and the ability to troubleshoot complex issues in distributed systems.
 </li>
 <li>
 Effective communication and collaboration skills, with the ability to effectively interact with stakeholders at all levels.
 
 
 </li>
 </ul>
 
 About The Company
 
 
 
 ValueMomentum is a leading solutions provider for the global property and casualty insurance industry. The company helps insurers stay ahead with sustained growth and high performance, enhancing stakeholder value and fostering resilient societies. Having served over 100 insurers, ValueMomentum is one of the largest services providers exclusively focused on the insurance industry.
 
 
 
 Benefits
 
 
 
 We at ValueMomentum offer you a congenial environment to work and grow in the company of experienced professionals. Some benefits that are available to you are:
 
 
 <ul>
 <li>
 Competitive compensation package.
 </li>
 <li>
 Career Advancement: Individual Career Development, coaching and mentoring programs for professional and leadership skill development.
 </li>
 <li>
 Comprehensive training and certification programs.
 </li>
 <li>
 Performance Management: Goal Setting, continuous feedback and year-end appraisal. Reward &amp; recognition for the extraordinary performers.
 </li>
 </ul>
</div>

AI/ML Lead

GE Vernova

<div>
 
 Job Description Summary
 
 
 
 GE Vernova is at the forefront of driving the global energy transition, dedicated to delivering cleaner, more efficient, and sustainable energy solutions. Our GE Vernova is pioneering the global energy transition by delivering cleaner, more efficient, and sustainable energy solutions. Our mission is to lead the industry in energy innovation, focusing on decarbonizing the world's energy systems and creating a more resilient and reliable energy infrastructure. Within our Wind segment, we utilize advanced analytics and digital solutions to optimize wind energy production, enhance operational efficiency, and ensure the reliability of wind power systems. By integrating data-driven insights, we are transforming the wind energy landscape and accelerating the transition to a sustainable energy future.
 
 
 We are seeking a visionary Sales Force Solutions Architect to join our team. In this role, you will develop and implement Salesforce solutions that align with our strategic goals for renewable energy service agreements. You will be the key architect in designing systems that turn performance data into actionable insights, thereby increasing revenue, reducing costs, and lowering risk for both internal and external customers. As a domain expert, you will be responsible for understanding unmet business and user needs, leading the development of innovative solutions, and bridging the gap between customer requirements and technological advancements. Your contributions will be vital in driving the success of our energy transition initiatives
 
 
 
 Job Description
 
 
 
 
 Roles and Responsibilities
 
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Participate in technical and business discussions to shape the future direction of Salesforce architecture, leveraging insights to drive strategic initiatives.
 </li>
 <li>
 Assist in analyzing, designing, and developing a comprehensive roadmap and implementation plan that aligns current capabilities with future state objectives within a cohesive architecture viewpoint.
 </li>
 <li>
 Gather and analyze data to develop architectural requirements at the project level, ensuring solutions are robust and scalable.
 </li>
 <li>
 Actively participate in the Enterprise Architecture governance model, contributing to the establishment of best practices and compliance standards.
 </li>
 <li>
 Contribute to the development of software and data delivery platforms by creating reusable components that can be orchestrated together into diverse methods, optimizing Salesforce solutions.
 </li>
 <li>
 Research and evaluate emerging technologies, industry advancements, and market trends to enhance project development and operational support activities.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science or &ldquo;STEM&rdquo; Majors (Science, Technology, Engineering and Math)
 </li>
 <li>
 Minimum of 6 years of experience working on Salesforce (Administrator or Developer or combination of both)
 </li>
 <li>
 Deep proficiency with Salesforce platform
 </li>
 <li>
 Extensive experience with Salesforce Field Services
 </li>
 <li>
 Integration and troubleshooting skills for existing Salesforce implementations
 </li>
 <li>
 Programming knowledge in Apex
 </li>
 <li>
 End-to-end architectural knowledge
 </li>
 <li>
 Certifications: Salesforce Administrator or Developer Certification highly preferred.
 
 
 </li>
 </ul>
 
 Desired Characteristics
 
 
 
 <ul>
 <li>
 Ability to consult customer on alignment of outcomes and desired technical solutions at an enterprise level
 </li>
 <li>
 Ability to Analyze, design, and develop a software solution roadmap and implementation plan based upon a current vs. future state of the business.
 </li>
 <li>
 Working knowledge of configuration choices and related cost implications; Experience with complex solution configurations.
 </li>
 <li>
 Knowledgeable of full range of solution catalog within a business unit and able to discuss overall solution at depth.
 </li>
 <li>
 Experience sustaining operational stability through various life cycle phases (planning, implementation, steady state, de-commissioning); Ability to provision and budget via capital and operating.
 </li>
 <li>
 Able to lead early stage customer interactions; Guide customers as they develop confidence and comfort with approaches, and integrate with their legacy tech investments.
 </li>
 <li>
 Adept at navigating the organizational matrix; understanding people's roles, can foresee obstacles, identify workarounds, leverage resources and rally teammates.
 </li>
 <li>
 Understand how internal and/or external business model works and facilitate active customer engagement
 </li>
 <li>
 Able to articulate the value of what is most important to the business/customer to achieve outcomes
 </li>
 <li>
 Able to produce functional area information in sufficient detail for cross-functional teams to utilize, using presentation and storytelling concepts.
 </li>
 <li>
 Possess extensive knowledge of full solution catalog within a business unit and proficiency in discussing each area at an advanced level.
 </li>
 <li>
 Six Sigma Green Belt Certification or equivalent quality certification
 </li>
 <li>
 Demonstrated working knowledge of internal organization
 </li>
 <li>
 Foresee obstacles, identify workarounds, leverage resources, rally teammates.
 </li>
 <li>
 Demonstrated ability to work with and/or lead blended teams, including 3rd party partners and customer personnel.
 </li>
 <li>
 Demonstrated Change Management /Acceleration capabilities
 </li>
 <li>
 Strong interpersonal skills, including creativity and curiosity with ability to effectively communicate and influence across all organizational levels
 </li>
 <li>
 Proven analytical and problem resolution skills
 </li>
 <li>
 Ability to influence and build consensus with other Information Technology (IT) teams and leadership
 
 
 </li>
 </ul>
 The direct hire full-time salary range for this position is 119,200.00 - 158,900.00 USD Annual. The specific direct hire salary offered to a candidate may be influenced by a variety of factors including the candidate&rsquo;s experience, their education, and the work location. In addition, this position is eligible for a performance bonus.
 
 
 Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness.
 
 
 General Electric Company, Ropcor, Inc., their successors, and in some cases their affiliates, each sponsor certain employee benefit plans or programs (i.e., is a &ldquo;Sponsor&rdquo;). Each Sponsor reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor&rsquo;s welfare benefit plan or program. This document does not create a contract of employment with any individual.
 
 
 
 
 
 Additional Information
 
 
 
 
 
 GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
 
 
 GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
 
 
 
 Relocation Assistance Provided:
 
 No
</div>

Salesforce Solution Architect

Align Technology

<div>
 
 &middot; BS/MS degree or equivalent years of experience
 
 
 &middot; 6+ years of overall backend development experience, preferably building secure, scalable, and high-performance web applications using Node.js, Ruby on Rails and related backend frameworks si
 
 
 &middot; 6+ years of experience building enterprise, SaaS applications using technologies such as the MERN stack, Ruby on Rails or other technologies.
 
 
 &middot; Enhance and maintain our applications with high-quality code contributing across the full stack.
 
 
 &middot; Expertise with web architecture, cross-platform integration, and building scalable applications in heterogeneous environments
 
 
 &middot; Experience in client-side coding using HTML5, CSS, JavaScript, ES6, TypeScript, ReactJS.
 
 
 &middot; Experience with Microserver architecture.
 
 
 &middot; Experience with AJAX, XML, JSON, and useful Design Patterns
 
 
 &middot; Extensive knowledge and experience with Test-Driven Development and/or Behavior-Driven
 
</div>

Software Engineer

MediaMint

<div>
 
 The Onboarding Specialist is a critical role responsible for ensuring the seamless onboarding and successful launch of clients on our SaaS e-commerce platform. This role involves acting as a technical expert, managing a portfolio of projects, and delivering a high-quality onboarding experience within specified time and budget constraints. The successful candidate will work with a range of clients, from mid-market self-service to enterprise-level, setting appropriate expectations, improving processes, and ensuring consistent client satisfaction.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 Platform &amp; Technical Expertise
 
 
 <ul>
 <li>
 Serve as a platform expert and technical subject matter expert during the onboarding phase, addressing client queries related to software, data feeds, APIs, and FTP protocols.
 </li>
 <li>
 Provide actionable feedback to the Product Management team regarding feature improvements and product enhancements.
 </li>
 <li>
 Create additional client-facing resources such as training videos and webinars; contribute to internal cross-training initiatives.
 </li>
 </ul>
 
 
 Client Onboarding
 
 
 <ul>
 <li>
 Set up, configure, and optimize customer accounts to meet individual client needs.
 </li>
 <li>
 Conduct tailored training sessions for client user groups using established onboarding methodologies.
 </li>
 <li>
 Handle configuration and troubleshooting during the onboarding process to ensure smooth implementation.
 </li>
 <li>
 Transition clients seamlessly to the Support team post-implementation.
 </li>
 </ul>
 
 
 Collaboration &amp; Communication
 
 
 <ul>
 <li>
 Work closely with cross-functional teams including Sales, Business Development, Engineering, Product Management, Customer Success Managers (CSMs), and Account Strategy Managers (ASMs) to ensure a smooth onboarding experience and resolve any blockers.
 </li>
 <li>
 Stay actively updated on project statuses to maintain progress and avoid delays.
 </li>
 <li>
 Communicate technical concepts effectively to both technical and non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Fluency in both written and spoken English; proficiency in additional languages is a plus.
 </li>
 <li>
 Solid understanding and/or hands-on experience with API integrations (REST and SOAP).
 </li>
 <li>
 Familiarity with product data feed formats such as XML, TXT, CSV, and JSON, along with experience working with FTP protocols.
 </li>
 <li>
 Strong working knowledge of Excel and HTML.
 </li>
 <li>
 Minimum of 2 years&rsquo; experience in SaaS onboarding or implementation roles.
 </li>
 <li>
 Proven ability to manage multiple complex projects simultaneously.
 </li>
 <li>
 Strong analytical and problem-solving skills, paired with a proactive and positive attitude.
 </li>
 <li>
 Excellent time management and task prioritization abilities.
 </li>
 <li>
 Strong documentation skills with attention to detail.
 </li>
 <li>
 Experience in developing and delivering software training programs.
 </li>
 <li>
 Exceptional written and verbal communication, as well as presentation skills.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Prior experience guiding API integrations from a technical or functional standpoint.
 </li>
 <li>
 Exposure to enterprise-level clients and a solid understanding of the e-commerce industry.
 </li>
 <li>
 Familiarity with remote training tools and platforms.
 </li>
 <li>
 Project Management experience or relevant certifications (e.g., PMP, Prince2) would be a strong advantage.
 </li>
 </ul>
 
 If you're interested in this opportunity, please take a moment to fill out our Candidate Information Form to help us get to know you better.
 
</div>

Implementation Consultant

<div>
 At EY, you&rsquo;ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we&rsquo;re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
 
 
 
 Job Description
 
 :
 
 EY GDS &ndash; Data and Analytics (D&amp;A) &ndash; Senior &ndash; Senior Data Scientist
 
 
 
 
 Role Overview:
 
 
 
 We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
 
 
 
 Responsibilities:
 
 
 
 
 Your technical responsibilities:
 
 
 
 <ul>
 <li>
 Contribute to the design and implementation of state-of-the-art AI solutions.
 </li>
 <li>
 Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
 </li>
 <li>
 Collaborate with stakeholders to identify business opportunities and define AI project goals.
 </li>
 <li>
 Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
 </li>
 <li>
 Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
 </li>
 <li>
 Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
 </li>
 <li>
 Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
 </li>
 <li>
 Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
 </li>
 <li>
 Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
 </li>
 <li>
 Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
 </li>
 <li>
 Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
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 Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
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 Ensure compliance with data privacy, security, and ethical considerations in AI applications.
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 Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
 </li>
 <li>
 Minimum 3-7 years of experience in Data Science and Machine Learning.
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 In-depth knowledge of machine learning, deep learning, and generative AI techniques.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
 </li>
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 Familiarity with computer vision techniques for image recognition, object detection, or image generation.
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 Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
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 Expertise in data engineering, including data curation, cleaning, and preprocessing.
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 Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
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 <li>
 Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
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 Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
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 Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
 </li>
 <li>
 Understanding of data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Track record of driving innovation and staying updated with the latest AI research and advancements.
 
 
 </li>
 </ul>
 
 Good to Have Skills:
 
 
 
 <ul>
 <li>
 Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
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 Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
 </li>
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 Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
 </li>
 <li>
 Implement CI/CD pipelines for streamlined model deployment and scaling processes.
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 Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
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 Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
 </li>
 <li>
 Implement monitoring and logging tools to ensure AI model performance and reliability.
 </li>
 <li>
 Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
 </li>
 <li>
 Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
 
 
 </li>
 </ul>
 
 EY | Building a better working world
 
 
 
 EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 
 
 Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 
 
 Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
</div>

EY - GDS Consulting - AI And DATA - Gen AI - Senior

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