

What you’ll achieve
As an AI/ML Software Engineer, you will join a global team focused on leveraging AI/ML to drive innovation in our storage products and enhance efficiency across organizational processes.
You will:
Collaborate with architects, senior engineers, product managers and business stakeholders to understand complex problems in enterprise data storage products and engineering processes (e.g., testing, CI/CD) and identify opportunities for AI/ML solutions
Assist in the entire machine learning lifecycle, including data collection, cleaning, pre-processing, feature engineering, model training, evaluation, and deployment
Implement, optimize, and experiment with various AI and Machine Learning algorithms and models
Develop and maintain robust, scalable, and efficient AI/ML pipelines and infrastructure
Perform rigorous model testing, validation, and interpretability analysis to ensure accuracy, fairness, and reliability
Stay up-to-date with the latest advancements in AI, Machine Learning, and deep learning research and technologies
Document technical designs, code, and experimental results clearly and concisely
Contribute to a culture of continuous learning, innovation, knowledge sharing, and best practices within the team
Essential Requirements:
Technical Proficiency:
Solid theoretical understanding of core AI and Machine Learning concepts, including supervised, unsupervised, and reinforcement learning, LLMs, and common ML algorithms
Proficiency in major programming language used in AI/ML ( e.g., Python )
Experience with popular ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy)
Familiarity with data manipulation, analysis, and visualization techniques
Problem-Solving: Demonstrated ability to approach complex problems, break them down, and propose innovative AI/ML-driven solutions
Adaptability: Eagerness to learn new tools, technologies, and adapt to evolving project requirements in a fast-paced enterprise setting
Communication: Strong verbal and written communication skills to articulate technical concepts to both technical and non-technical audiences
Desirable Requirements:
Education: Bachelor's with 2 + year of experience or Master's degree with 2+ years of experience in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a closely related quantitative field with a strong emphasis on AI/ML
Experience in AI/ML in an enterprise or large-scale data environment
Experience with MLOps principles and tools (e.g., Docker, Kubernetes, CI/CD for ML)
Knowledge of distributed computing frameworks (e.g., Spark) for large datasets
Software development experience in C/C++
•Bachelor’s degree
משרות נוספות שיכולות לעניין אותך

Audit Advisor - Assurance (Audit Services) (Manager) (Multiple Positions) (1648606), Ernst & Young U.S. LLP, Tampa, FL.
Full time employment, Monday – Friday, 40 hours per week, 8:30 am – 5:30 pm.
MINIMUM REQUIREMENTS:
Must have a Bachelor’s degree in Accounting, Economics, Finance or a related field and 5 years of progressive, post-baccalaureate financial accounting/audit work experience. Alternatively, will accept a Master’s degree in Accounting, Economics, Finance or related field and 4 years of financial accounting/audit work experience.
Must have 2 years of experience supervising the planning and execution on audits of internal controls over financial reporting in accordance with U.S. GAAS and U.S. GAAP.
Must have 2 years of experience supervising the planning, execution, reporting on audits of financial statements prepared in accordance with U.S. GAAS and U.S. GAAP.
Must have 2 years of experience supervising audit teams consisting of two or more staff members.
Must have 2 years of audit experience, including SOX (ICFR), with a public accounting firm that is registered with PCAOB.
Must have 2 years of experience with audits of management review controls and testing of information produced by the entity.
Must have 1 year of experience in the use of audit documentation software.
Must have active US CPA certification; or foreign certificate in accountancy and sufficient coursework/experience requirements as determined by the work location state Board of Accountancy to obtain US CPA certification.
Requires domestic travel up to 30% in order to serve client needs.
Employer will accept any suitable combination of education, training, or experience.
What we offer
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on yourperformance and recognized for the value you bring to the business. The base salary for this job is $129,535.00 per year. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
• 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.
This particular position at Ernst & Young in the United States requires the qualified candidate to be a "United States worker" as defined by the U.S. Department of Labor regulations at 20 CFR 656.3. You can review this definition at at the bottom of page 750. Please feel free to apply to other positions that do not require you to be a "U.S. worker".

Service Delivery Center – Program Management – Senior Analyst
As a Program Manager at EY, you will be responsible for ensuring that both business-sponsored and internal programs/projects are planned, managed, and governed in a consistent and disciplined manner, with a focus on high-quality execution. You will help businesses realize the value from their IT investments by supporting strategy, improving the customer experience, and driving growth. As part of a high-performing team, you’ll provide advice about technology enablement and the strong effect IT has on major program transformations. This is a new group being developed in our Service Delivery Center, and you will have the opportunity to be a part of building a new team within this growing organization.
Your Key Responsibilities:
Skills and Attributes for Success:
You’ll spend most of your time assisting in the day-to-day management of projects or as a business systems analyst. You’ll monitor progress, track project finances, risks, and issues, and confirm that key stakeholders are kept informed about progress and outcomes. You should be highly organized, possess outstanding verbal and written communication skills, and be a self-starter.
To qualify for the role, you must have:
Ideally, you’ll also have:
What We Look For:
Top performers with track records in the following areas:
We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage; both pension and 401(k) plans; a minimum of 15 days of vacation, plus 10 observed holidays and 3 paid personal days; and a range of programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .



Job responsibilities
Required qualifications, capabilities, and skills
Exposure to US Dollar High Value (Wires) and Low Value (ACH - Automated Clearing House) payments

As a Senior Product Associate in Corporate Investment Banking Payments, you will be an integral part of the team scaling the

What you’ll achieve
As an AI/ML Software Engineer, you will join a global team focused on leveraging AI/ML to drive innovation in our storage products and enhance efficiency across organizational processes.
You will:
Collaborate with architects, senior engineers, product managers and business stakeholders to understand complex problems in enterprise data storage products and engineering processes (e.g., testing, CI/CD) and identify opportunities for AI/ML solutions
Assist in the entire machine learning lifecycle, including data collection, cleaning, pre-processing, feature engineering, model training, evaluation, and deployment
Implement, optimize, and experiment with various AI and Machine Learning algorithms and models
Develop and maintain robust, scalable, and efficient AI/ML pipelines and infrastructure
Perform rigorous model testing, validation, and interpretability analysis to ensure accuracy, fairness, and reliability
Stay up-to-date with the latest advancements in AI, Machine Learning, and deep learning research and technologies
Document technical designs, code, and experimental results clearly and concisely
Contribute to a culture of continuous learning, innovation, knowledge sharing, and best practices within the team
Essential Requirements:
Technical Proficiency:
Solid theoretical understanding of core AI and Machine Learning concepts, including supervised, unsupervised, and reinforcement learning, LLMs, and common ML algorithms
Proficiency in major programming language used in AI/ML ( e.g., Python )
Experience with popular ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy)
Familiarity with data manipulation, analysis, and visualization techniques
Problem-Solving: Demonstrated ability to approach complex problems, break them down, and propose innovative AI/ML-driven solutions
Adaptability: Eagerness to learn new tools, technologies, and adapt to evolving project requirements in a fast-paced enterprise setting
Communication: Strong verbal and written communication skills to articulate technical concepts to both technical and non-technical audiences
Desirable Requirements:
Education: Bachelor's with 2 + year of experience or Master's degree with 2+ years of experience in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a closely related quantitative field with a strong emphasis on AI/ML
Experience in AI/ML in an enterprise or large-scale data environment
Experience with MLOps principles and tools (e.g., Docker, Kubernetes, CI/CD for ML)
Knowledge of distributed computing frameworks (e.g., Spark) for large datasets
Software development experience in C/C++
•Bachelor’s degree
משרות נוספות שיכולות לעניין אותך