דרושים Ai & Machine Learning Engineering Consultant ב-Ey ב-United States, New York

Your key responsibilities

You will be part of diverse teams of professionals across different geographies to deliver a wide range of data and analytics services. You will be solving complex issues and driving growth across financial services.

Skills and attributes for success

• Fostering an innovative and inclusive team-oriented work environment
• Working in diverse teams of professionals with different backgrounds
• Demonstrating in-depth technical capabilities and professional knowledge
• Contributing to thought leadership through white papers, point of views, and proof of concepts
• Working in an entrepreneurial environment to pave your own career path
• Ability to meet deadlines, own deliverables and contribute to project delivery

To qualify for the role, you must have

• Undergraduate or Master’s degree in a quantitative field (e.g. engineering, computer science, business, economics, finance, statistics, and/or analytics).
• At least 2 to 5 years of related work experience in banking, capital markets, insurance, or asset management domain
• Good communication (verbal and written) with the ability to effectively advocate technical solutions and results to technology and business audiences
• Experience working independently, efficiently, and effectively under extreme time constraints and delivering results by critical deadlines
• Strong analytical and problem-solving skills
• Experience with client-facing activities such as requirements gathering, facilitating meetings, presentation creation, and ability to prepare client ready deliverables
• Proven track record of consistently meeting deadlines, and provide reporting and business recommendations in a dynamic environment
• Good leadership and teaming skills
• Strong organizational and time-management skills
• Ability to integrate new knowledge and adapt to change with a natural curiosity and desire to learn
• A willingness and ability to travel to meet client needs; travel is estimated at 60%
• Valid Passport

DAE Specific

• Ability to understand business challenges and address remediations through data architecture and engineering solutions.
• Must have practical experience assisting clients with development of one or more of strategic Data Architecture and Engineering, Cloud Data Modernization, Data migration and Event-driven architecture, preferably focused on financial services.
• Experience development of large data platforms, data warehouses and data lakes, streaming applications, data ingestion, integration, and distribution pipelines.
• Practical experience using latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and visualization.
• Understanding of traditional data architecture practices (data warehousing, datahub, MDM, ODS etc.) as well transition to Next-Gen platform architectures such as distributed data lake and Data mesh on cloud, etc.
• Practitioner experience in multiple data technologies such as:
• Cloud Data Platforms (AWS, Azure, Google Platform, Databricks, Snowflake)
• Big Data applications and Distributed Processing (Hadoop and Spark ecosystem components)
• Data integration Tools (Informatica, Talend, etc.)
• Experience with scripting languages: Python, Java, C++, Scala, etc.
• Traditional RDBMS (Teradata, Netezza, MS SQL Server, Oracle, MySQL, PostgreSQL)
• MPP (Snowflake, BigQuery, AWS Redshift etc.)
• NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan, Elasticsearch)
• Streaming Platform and Applications (Spark streaming, Kafka, Storm, etc.)
• Experience with data pipeline and workflow management tools (Airflow, etc.)
• Dev Ops (GitHub, Kubernetes Jenkins, Terraform)
• Data Modeling (Data vault, Star, Snowflake)

Ideally, you’ll also have

• Master’s degree in Business Administration (MBA) or Science (MS) preferred
• Prior consulting experience

What we offer you

Job Title: Assistant Manager - Financial Due Diligence

We are seeking an Assistant Manager in Financial Due Diligence to join our Strategy and Transactions team. In this role, you will be instrumental in providing analytical insights for mergers and acquisitions (M&A) and assisting our clients in navigating through the complexities of the transaction process.

Key Responsibilities:

• Conduct financial due diligence for M&A transactions across a variety of sectors.
• Analyze financial statements and business trends to identify financial risks and opportunities.
• Prepare comprehensive due diligence reports that highlight key findings and provide value-added insights to clients.
• Work closely with multi-disciplinary teams to integrate financial due diligence findings with other aspects of the transaction process.
• Manage and mentor junior staff, fostering a learning environment and encouraging career growth.
• Engage directly with clients, ensuring their needs are met and delivering exceptional service.
• Support business development initiatives, including market research and proposal development.

Qualifications and Skill Set:

• A professional accounting / finance qualification (CA, CPA, ACCA, MBA or equivalent)
• A minimum of 3-5 years of experience in financial due diligence
• Strong analytical, problem-solving, and financial modelling skills.
• Excellent communication and report writing skills.
• Ability to manage multiple projects and meet tight deadlines.

• Excellent knowledge and hands on experience in area of SAP Projects System (PS) and Project Portfolio Management (PPM)
• Good configuration knowledge of PS structures- WBS, standard structures, user status profiles and Master Data.
• PPM: Portfolio definition, buckets, Initiatives Management, Financial and Capacity Planning, Resource Planning and SAP PPM integration with SAP applications (PS, FI, HCM etc)
• Proficient in Cost & Revenue planning and budgeting.
• Proven knowledge on Results Analysis - Cost based and Revenue Based methodsResponsibilities, Qualifications, Certifications - External
• Period end processing, Project Settlement.
• Should have good understanding of relevant methodologies business processes and standards.
• Strong understanding of Integration between Project Systems with other modules
• Should possess strong skills in functional requirement gathering / fit-gap analysis, master data setup, end user support and documentation.
• Design and support development of custom enhancements in PS, PPM and integration area
• Good exposure on interaction with business users.
• Good communication, problem solving and analytical skills.
• Certification in PS/PPM will be an advantage.
• 3-7 years’ experience

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.

AI/Machine Learning Engineer, Senior Consultant

Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.

As a Senior AI Native Engineer, you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role will involve researching, building, and implementing scalable AI systems that learn and make predictions tailored to diverse business environments, whether in the cloud or on-premises. You will enhance data pipelines to ensure data integrity and optimize learning processes, all while collaborating with a talented team of data and analytics professionals.

Your key responsibilities

In this role, you will contribute significantly to the delivery of innovative AI solutions. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.

You will spend your time on key responsibilities that include:

• Researching and implementing scalable AI systems that meet business requirements.
• Enhancing data pipelines and storage for optimal data accuracy and cleanliness.
• Monitoring and optimizing learning processes to improve high-performance models.
• This position may have travel requirements as needed to engage with external clients regularly.

Skills and attributes for success

To excel in this role, you will need a blend of technical expertise and interpersonal skills. Your ability to navigate complex challenges and deliver impactful solutions will be essential.

This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.

• Strong analytical and decision-making skills to guide project direction.
• Proven experience in project management and tracking deliverable completion.
• Ability to build and maintain relationships with clients and team members.
• Excellent communication skills to convey complex ideas effectively.

qualify for the role, you must have

• A Bachelor’s degree required (4-year degree).
• 3-6 years of full-time working experience in AI and/or Machine Learning
• Strong skills in Python
• Ability to collaborate and communicate effectively with diverse, hybrid and global teams
• Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform
• Proficient in Generative AI models and frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch
• Experience with natural language processing and deep learning
• Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions
• Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation
• Experience with model retraining and feedback loop methodologies
• Experience with model and solution monitoring and reporting
• Understanding of data structures, data modelling, and software engineering best practices
• Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques
• Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements

Ideally, you’ll also have

• Master's degree Computer Science, Mathematics, Physical Sciences, or another quantitative field
• Experience in hybrid collaboration and emotional agility
• A track record of working with diverse teams to drive outcomes through complex problem-solving
• Knowledge of sustainability practices in technology
• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them
• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C
• Experience fine-tuning Generative AI models
• Experience with image processing techniques and/or speech and audio processing and analysis

Your key responsibilities

You will be part of diverse teams of professionals across different geographies to deliver a wide range of data and analytics services. You will be solving complex issues and driving growth across financial services.

Skills and attributes for success

• Fostering an innovative and inclusive team-oriented work environment
• Leading and coaching diverse teams of professionals with different backgrounds
• Providing subject matter expertise in defining technical and business approaches
• Building strong relationships with the clients and cultivating business opportunities
• Initiating and building thought leadership through white papers, point of views, and proof of concepts
• Working in an entrepreneurial environment to pave your own career path
• Propose and drive new technologies to enhance or replace existing business processes

To qualify for the role, you must have

• Undergraduate or master’s degree in a quantitative field (e.g. engineering, computer science, business, economics, finance, statistics, and/or analytics)
• Around 6 or more years of related work experience in banking, capital markets, insurance or asset management space
• Superior communication (verbal and written) with the ability to effectively advocate technical solutions and results to technology and business audiences at all levels and disciplines within EY and client organizations
• Experience working independently, efficiently and effectively under extreme time constraints and delivering results by critical deadlines
• Strong analytical and problem-solving skills
• Experience with client-facing activities such as requirements gathering, facilitating meetings, presentation creation, and ability to prepare client ready deliverables
• Prior experience in project management and client serving roles
• Excellent leadership and teaming skills
• Strong organizational and time-management skills
• Ability to integrate new knowledge and adapt to change with a natural curiosity and desire to learn
• A willingness and ability to travel to meet client needs; travel is estimated at 60%
• Valid passport

AI Specific

• Ability to understand business challenges and translate them into value-add analytics and insights solutions.
• Practical experience in leading and managing multi-disciplinary teams through a product life cycle – requirements, design, development, and testing.
• Experience designing, building, and maintaining production-grade ML and DL models, machine learning workflows, and pipelines. Demonstrated exploration of new techniques outside of day-to-day job duties.
• Proficiency in Generative AI techniques, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformers. Experience with working open-source and commercial LLMs
• Helping clients make data-driven decisions by working with structured and unstructured data sets, building out predictive models, and advising our clients on leading practices.
• Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, RNNs, CNNs, etc.) as appropriate.
• Designing, architecting, and developing solutions leveraging big data technology (Hadoop, Cassandra, Spark, Neo4j) to ingest, process, and analyze large, disparate data sets to exceed business requirements.
• Leveraging in-house data platforms as needed and recommending and building new data platforms/solutions as required to exceed business requirements.
• A thorough understanding of the Python programming language and associated machine learning libraries/packages (sklearn, TensorFlow, PyTorch, statsmodels, etc.).
• Experience in multiple tools/language/frameworks within the Big Data & cloud ecosystem (Hadoop, MongoDB, Neo4j, Spark, Hive, HBase, Cassandra, etc.).
• Demonstrated experience of managing and mentoring teams of data scientists, ML engineers, and data engineers on the execution of specific business use cases for AI/ML.
• Strong machine learning and data structure design, development, application of advanced analytical and statistical methods, and architecture experience.
• Ability to quantify improvement in business areas resulting from optimization techniques through the use of business analytics and/or statistical modeling.
• Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models.

Additional Requirements:

• Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) for deploying and managing ML and AI solutions.
• Strong deep learning experience, particularly in applications of Neural Network architectures to Natural Language Processing, Computer Vision, Machine Intelligence, and/or Reinforcement Learning.
• Expertise in designing and deploying cloud-native architectures and solutions that leverage serverless computing, containerization (Docker, Kubernetes), and microservices.
• Experience in integrating AI/ML solutions within cloud environments to ensure scalability, reliability, and security.
• Familiarity with cloud-based machine learning services like AWS SageMaker, AWS Bedrock, Google AI Platform, Azure Machine Learning & Azure AI Studio
• Knowledge of MLOps practices for continuous integration and continuous deployment (CI/CD) of machine learning models in a cloud environment.
• Understanding of data security and privacy best practices in cloud environments, including compliance
• Practical experience in developing and deploying Generative AI applications for various use cases such as text generation, image synthesis, and creative AI.
• Strong ability to collaborate with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.

Ideally, you’ll also have

• Master’s degree in Business Administration (MBA) or Science (MS) preferred
• Prior consulting experience

Job Description

As a Procurement Manager, you will support all aspects of client-facing procurement technology projects, which spans many leading solutions in the market (e.g. GEP, Zycus, and Zip). You will be expected to drive project initiatives and lead process design, implementation, problem solving, and project management activities that add value and results for our client base.

Typical responsibilities include:

Project Execution

• Manage implementation of procurement solutions throughout the full lifecycle of execution
• Provide thought leadership and benchmarking
• Lead and drive current state activities
• Lead and drive future state end to end process design sessions
• Identify S2P business, technical, and integration requirements to support the implementation of S2P technologies.
• Synthesize disparate data sources into insights and clear deliverables
• Work together with clients to identify and interpret key project requirements
• Develop and enhance relationships with client stakeholders
• Create project plans and manage delivery of client project work
• Coordinate with subject matter experts within and outside of the firm

Business Development

• Support sales pursuits
• Develop materials and thought leadership for go-to-market conversations

Travel Requirements:

Travel is required for this role and could vary from 10-50%

As Engineering Portfolio Leader your responsibilities will be defining, designing, implementing and operating world-class products for EY and our Clients.

In this role, you will partner with product management to set the vision, strategy and execution for a portfolio that will support yearly revenue in excess of US$40B.

Your key responsibilities

• Build, manage and lead a global team of over 100 passionate engineers as part of the broader EY Engineering team
• End-to-end delivery of a portfolio of Products in partnership with Product Management within agreed targets (on-time, on-budget) and standards
• Manage an overall budget (P&L) in excess of $XM (inc. hosting charges)
• Design, Develop and Operate multi-tenant, global, scalable & highly available Products following the agreed Engineering Operating Model
• Optimize ROI for development and ongoing operations costs of portfolio
• Drive awareness, adoption and reuse of platforms across CT, EY and external partner ecosystem
• Support, measure and continuously improve product availability through Site Reliability Engineering foundational practices (SRE, DraaS)
• Implement DevOps Practices and establish Site Reliability Engineering capabilities across all Products
• Advise and implement technology and platform strategy and standards for Client Technology in collaboration with technology teams across EY
• Advise and implement technology, platforms and development standards as part of Engineering Leadership
• Scout the technology landscape for emerging technologies, patterns and solutions to benefit EY or our Clients
• Drive an engineering culture that attracts and retains the best talent

Other Client-Facing Activities

• Collaborate with technology teams across EY Service Lines, being a thought leader and strategizing with the Client facing teams on implementation of global scale projects, including but not limited to migrations and build out of large-scale solution deployment.
• Participate in client pursuits as the lead representative for EY in the platform and cloud space

Skills and attributes for success

• Balanced experience in managing a delivery organization while having hands-on software development experience
• Expert in driving full product development and software development lifecycle including definition, design, development and operations of globally distributed and scalable cloud-based products
• Expert understanding of software engineering concepts such as: multithreading, data structures, algorithms, design patterns, high performance and scalable components
• Expert knowledge of Application and Infrastructure architectures including non-functional aspects like performance, scalability, reliability, availability etc
• Expert knowledge of software and product development practices and tooling (incl. coding, coding standards and reviews, source control, testing, debugging, build, deployment and operations)
• Deep knowledge on modern multi Cloud (on-prem and public) platforms and infrastructures, Cloud Native application product architectures based on PaaS. SaaS and IaaS services
• Delivering integrated IT operations services across complex multi cloud environments (On-Prem, Azure, Google, AWS) meeting agreed to SLAs
• Technical leadership across infrastructure, networking and platform technologies supporting a diverse application product portfolio (IaaS, PaaS, SaaS)
• Leadership qualities include developing teamwork and trust, exhibiting respectful transparent communication, exemplifying collaboration both with peers and clients and leading positive change that fosters diversity and inclusiveness
• Experienced with managing large IT budgets, driving productivity, quality and cost efficiencies
• Technical leader providing vision, strategy and execution for modern application and infrastructure operations organizations.
• Skilled at creating efficient and modern organization operating models, process and structure supporting shift to Agile, DevOPS and SRE delivery practices.
• Customer centric leader with a sharp focus on delivering significant business value across diverse set of IT and Business stakeholders
• Fiscally responsible budget management and financial control, driving productivity, quality and efficiencies.
• Regular international and domestic travel. Reasonable extension of the working day should be expected commensurate with the needs to fulfil the obligations of the role

Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You will lead your team to shape and deliver a portfolio of products

• Manage a software engineering team that builds, designs, implements and maintains a portfolio of software products and related services.
• Set goals, strategies, budgets, and oversee deployment of large-scale projects across multiple sites.
• Manage robust and scalable systems in order to get ahead of the exponential demand.
• Influence and establish best engineering practices through solid design decisions, processes and tools.
• Provide leadership for engineering standards inside EY and manage collaboration with cross-functional Engineering teams to streamline and improve adoption of software platforms.
• Act as Engineering Leadership provide technical governance across all Engineering products

To qualify for the role, you must have

• Degree at university level
• English language skills - excellent written and verbal communication
• 15+ years in business, prior work in industry, technology or a professional services firm
• 5+ years’ experience in managing senior staff and offshore teams
• Understanding of IT life cycle: pipeline, resource, demand, project delivery, financials
• Outstanding self-management, influence management, information presentation and interpersonal communication