Ai & Machine Learning Engineer - Tmt jobs at Ey in United States, New York

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%

EY Assurance practice requires a professional who will take responsibility for driving and supporting our Operational Excellence agenda and work to implement various Operations and Finance-related initiatives for Malaysia’s Assurance business, where you will work with Malaysia Assurance Leader and interact across all Assurance Sub-Service Lines Leaders/Group Heads. You will have the opportunity to build relationships, drive initiatives and shape solutions across our local Assurance practice, understand the market and issues, and collaborate with other teams not only within Assurance but beyond.

The position will report directly to Malaysia Assurance Leader and the role would require for the incumbent to have close engagement and collaboration with Service Line support such as Finance, Market Operations, Talent, Resourcing and Quality and Risk Management Teams.

Your key responsibilities

In the role as the Assurance Operations Leader, you will be expected to:

• Review and monitor key financial & performance measures, KPIs (TNR, Margin, Utilisation, Revenue days)
• Provide robust regular performance and dashboard reporting with insightful, timely, forward looking and action oriented commentaries
• Together with Malaysia Assurance Leader, drive the yearly planning process and half-year forecast exercise
• Drive and monitor compliance around key quality areas to meet internal business requirements e.g. milestones review
• Local project lead for Global and Area centralisation initiatives
• Develop and execute other strategic and operational initiatives to drive end to end business performance improvements
• Analyze, articulate and monitor operational performance issues. Investigate anomalies and coordinate with leaders for the information required, escalate issues, assist in providing insight and solutions
• Provide communications support for Malaysia Assurance Leader in drafting key messages for Townhalls, prepare management materials, analysis and narratives for Executive or Regional Leadership meetings and liase with communications functions in EY.

Skills and attributes for success

• Good interpersonal, communication, and organizational skills

• Strong analytical thinking and project management skills
• A team player
• Agile

To qualify for the role you must have

• Bachelor's Degree with at least 5 years of working experience, preferably in Professional Services industry
• Experience in an operations related, business management or control function preferred

• Strong people management skills and able to work/ manage different stakeholders
• Attention to detail and ability to analyze problems, design and implement solutions independently
• A Self-starter. Able to work with limited supervision, to juggle conflicting demands and to prioritize work effectively
• A committed team player with good interpersonal and communication skills, able to articulate clear and logical messages
• Strong organizational skills, able to work across and project manage multiple-initiatives at a time

• Ability to work in cross-functional teams and liaise with colleagues in both business and technical roles
• Good command of written and spoken English.

Ideally, you’ll also have

• Advanced Excel & PowerPoint skills – e.g. Pivot, vlook ups and ability to manipulate and draw trends from vast amounts of data
• Data analytics skills such as PowerBI will be preferred

What we look for

A highly-motivated individual with excellent problem-solving skills and the ability to manage successful change in a complex environment. An effective communicator and a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization. If you’re ready to take on a wide range of responsibilities and are committed to seek out new ways to make a difference, this role is for you.

What we look for

Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you’ll be a confident team player equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization. If you’re ready to take on a wide range of responsibilities, and are committed to seeking out new ways to make a difference, this role is for you.

EY offers a competitive remuneration package commensurate with your work experience, where you will be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements (FWA), as needed, guided by our FWA Policy. Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

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.

As a Snowflake Subject Matter Expert (SME) you will be responsible for architecting, developing, and optimizing data warehouse and lakehouse solutions using the Snowflake platform and integrating into SAP BDC.

You will collaborate closely with data architects, engineers, and business teams to ensure data ingestion, storage, and access solutions on Snowflake meet performance, security, and compliance requirements supporting enterprise SAP data migration and analytics.

Your key responsibilities

• Design and implement Snowflake data warehouse and lakehouse architectures aligned with SAP data migration strategies.
  
• Develop and optimize Snowflake SQL queries, stored procedures, and data transformation logic to support SAP workloads.
  
• Manage Snowflake account configurations, resource monitors, virtual warehouses, and access controls.
  
• Integrate Snowflake into SAP BDC, SAP Databricks and Databricks
  
• Integrate Snowflake with SAP data sources and other data platform components, including Databricks, Azure Data Factory, and cloud storage.
  
• Implement best practices for data partitioning, clustering, and caching to optimize performance and cost-efficiency.
  
• Participate in data ingestion automation, metadata management, and monitoring within Snowflake environments.
  
• Collaborate with security teams to enforce data governance, encryption, and compliance policies in Snowflake.
  
• Support CI/CD and automation of Snowflake deployment and pipeline orchestration.
  
• Provide knowledge transfer and technical guidance to team members and clients.
  
• Stay updated on Snowflake innovations and new features relevant to SAP data platforms.
  

Skills and attributes for success

• Deep expertise in Snowflake data warehouse platform, including performance tuning and cost optimization.
  
• Strong SQL skills and experience with Snowflake-specific features such as Time Travel, Zero Copy Cloning, Streams, and Tasks.
  
• Experience with integration into SAP BTP, BDC and Hana DB
  
• Familiarity with SAP data types, structures, and migration tools for seamless integration with Snowflake.
  
• Experience with cloud ecosystems (Azure, AWS, GCP) and data orchestration tools (ADF, Airflow).
  
• Understanding of data security, role-based access control (RBAC), and compliance in Snowflake.
  
• Knowledge of data modeling principles for enterprise data warehouses.
  
• Excellent communication and collaboration skills to work with global SAP and data teams.
  

Other Requirements:

• Experience working on SAP migration or BDC data projects is preferred.
  
• Agile and DevOps experience with automation and pipeline deployment.
  
• Certifications like SnowPro Core Certification or relevant cloud certifications are desirable.
  
• Willingness to work in distributed teams and coordinate across time zones.
  

Job Requirements:

BS/MS in Computer Science, Data Engineering, Information Systems, or a related field.

9+ years in data warehousing and cloud data platforms with 5+ years of hands-on Snowflake experience.