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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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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
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CBS - MKT - Global Markets/Client Service :
We assist the executive management in overseeing the firm’s operations. Key responsibilities includes:
Qualification
Experience
People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful and able to sustain postivie energy, while being adaptable and creative in their approach.If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
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You’ll experience ongoing professional development through diverse experiences, world-class learning and individually tailored coaching. We’ll provide you with real work, real clients and real experiences, as well as training and development to kick-start your graduate opportunities. More importantly, you’ll get a sense of our culture and values and start to build the career you’d like to shape. Sound interesting? Well this is just the beginning.
I. External:
II. Internal:
Requirements:
EY offers a competitive remuneration package commensurate with your work experience, where you will be rewarded for your individual and team performance. Plus, we offer:
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.
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The opportunity
Your key responsibilities
Skills and attributes for success
Ideally, you’ll also
What we look for
Building a better working world
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To be updated
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To be updated
These jobs might be a good fit