Ey- Gds- Servicenow- Sap Daikin- Manager jobs at Ey in Mexico

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To be updated

Language Models (LLMs)Retrieval-Augmented Generation (RAG)Prompt EngineeringDevelopment of Generative AI applicationsProduction deployment of AI services (APIs, CI/CD, observability) Experience in fine-tuning (LoRA/PEFT) or specialization in contextual applications.

Bachelor's degree in fields such as Computer Science, Data Science, Statistics, Mathematics, or Engineering.
Strong foundation in software engineering.

Python, SQL, Git, and CI/CD

Azure AI (OpenAI, AI Foundry, AI Search)AWS BedrockGCP Vertex AIDatabricks

Semantic KernelLangChainLangGraphFastAPI or Flask

Azure AI SearchChromaDBVertex AIPineconeNeo4j

ChunkingIndexingRetrievalGrounding

PyTorch or TensorFlow

OpenTelemetryOpenLLMetryArize PhoenixLangfuseLangsmithRAGASDeepEval

DockerKubernetes

Develop and implement AI solutions using advanced techniques and methodologies.Collaborate with cross-functional teams to design and deploy scalable AI applications.Monitor and optimize the performance of AI models in production environments.Engage in continuous learning and application of emerging AI technologies.

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Qualifications:

• Bachelor's degree in Accounting, Finance, Business Administration, Industrial Engineering, Economics, or related fields.
• Advanced English proficiency.
• 5 to 7 years of experience in Financial Due Diligence within M&A transaction contexts, preferably with prior experience in BIG 4 or investment banking, focusing specifically on financial due diligence.
• Proven experience in financial due diligence projects (sell-side and buy-side), quality of earnings (QoE) reviews, EBITDA analysis, working capital, and cash flow.
• Experience working with corporate clients and private equity funds in buy/sell processes.
• Mastery of financial accounting, consolidated financial statements, and reporting under IFRS, US GAAP, or NIFs.
• Experience in deep financial analysis, financial modeling applied to transactions, and identifying red flags.
• Knowledge of M&A processes, restructuring, and deal strategy.
• Experience leading multicultural teams and managing multiple projects simultaneously.

Responsibilities:

• Conduct external information analysis and data processing.
• Carry out multisectoral financial analyses (concessions, banks, logistics companies, distributors, among others).
• Perform financial and strategic analysis across different sectors, including KPI calculations.
• Analyze EBITDA, working capital, net debt, and cash flow, with an emphasis on buy and sell transactions.
• Identify and propose adjustments to transaction pricing.
• Lead and guide junior analysts in project execution, ensuring the quality and accuracy of the analyses performed.

What EY Parthenon offers:

• Opportunities for professional development and continuous training in a dynamic and collaborative environment.
• Access to challenging projects and the possibility of working with clients from various industries.
• An inclusive and diverse work environment that fosters innovation and personal growth.
• Competitive benefits and an attractive compensation package.

Position Requirements

Minimum Education Required:Bachelor's degree in computer science, Data Science, Statistics, Mathematics, or Engineering.

Advanced Python, advanced English, and strong knowledge of cloud technologies, dashboards, and Big Data.

Programming Languages and Databases:Python, R, SQL, NoSQL.

Tools and Platforms:Amazon SageMaker, GCP Vertex AI, Databricks, Kubernetes, MLflow, Docker, Flask, FastAPI

Data Visualization Tools:Tableau, Power BI.

Libraries and Frameworks:Scikit-learn, Keras, Pandas, NumPy, SciPy, TensorFlow, PyTorch.

Version Control and Deployment:Git, CI/CD.

Models and Techniques:Regression, Decision Trees, Clustering, Natural Language Processing (NLP), Neural Networks.

Big Data and ETL Technologies:Apache Spark, PySpark, Hadoop, Databricks, ETL

Develop and apply analytical models for data interpretation.Create data visualizations using tools such as Tableau and Power BI.Implement Machine Learning and Deep Learning techniques to solve problems.Collaborate with multidisciplinary teams to develop innovative solutions in Big Data