
EY•2h ago
Naukri
EY-GDS Consulting-REF-AIA- Gen AI-S...
Kolkata
Full Time
Mid Level
N/A
N/A
N/A
Qualifications
10/10 matched
Experience Level: Mid Level
- </strong></span></p><ul><li>Apply trusted AI practices to ensure fairness
- transparency
- and accountability in AI models and systems.</li><li>Utilize optimization tools and techniques
- including MIP (Mixed Integer Programming).</li><li>Drive DevOps and MLOps practices
- covering continuous integration
- deployment
- and monitoring of AI models.</li><li>Implement CI/CD pipelines for streamlined model deployment and scaling processes.</li><li>Utilize tools such as Docker
- Kubernetes
- and Git to build and manage AI pipelines.</li><li>Apply infrastructure as code (IaC) principles
- employing tools like Terraform or CloudFormation.</li><li>Implement monitoring and logging tools to ensure AI model performance and reliability.</li><li>Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.</li><li>Familiarity with DevOps and MLOps practices
Full Job Description
About This Role: EY-GDS Consulting - Generative AI Staff in Kolkata
EY is seeking a talented Staff professional for its GDS Consulting team in Kolkata, specializing in Artificial Intelligence and Generative AI. This role involves contributing to the design, development, and implementation of cutting-edge AI solutions for enterprise clients.
Key Responsibilities:
Technical Contributions:
- Design and implement advanced AI solutions, with a focus on Language Models (LLMs) and generative AI.
- Develop and deploy AI models and systems, leveraging state-of-the-art generative AI techniques.
- Collaborate with stakeholders to identify business opportunities and define project objectives for AI initiatives.
- Stay abreast of the latest advancements in generative AI, including LLMs, and assess their applicability to enterprise challenges.
- Utilize generative AI and LLMs to create innovative solutions for various industry use cases.
- Integrate with essential APIs and libraries, such as Azure OpenAI GPT models and Hugging Face Transformers, to enhance generative AI capabilities.
- Implement and optimize end-to-end pipelines for generative AI projects, ensuring efficient data processing and model deployment.
- Work with vector databases like Redis and NoSQL databases for managing large-scale generative AI datasets and outputs.
- Implement similarity search algorithms for efficient retrieval of information from generative AI outputs.
- Partner with domain experts, stakeholders, and clients to understand business needs and tailor generative AI solutions.
- Research and evaluate advanced AI techniques like transfer learning, domain adaptation, and model compression to improve performance and efficiency.
- Establish evaluation metrics to assess the quality, coherence, and relevance of generative AI outputs for enterprise use cases.
- Ensure adherence to data privacy, security, and ethical considerations in AI applications.
- Apply data engineering skills for curating, cleaning, and preprocessing large datasets for generative AI.
Qualifications and Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field; a Ph.D. is a plus.
- Minimum of 1-3 years of experience in Data Science and Machine Learning.
- Deep understanding of machine learning, deep learning, and generative AI methodologies.
- Proficiency in programming languages like Python or R, and frameworks such as TensorFlow or PyTorch.
- Strong knowledge of NLP techniques and frameworks (e.g., BERT, GPT, Transformer models).
- Familiarity with computer vision techniques for image recognition, object detection, or generation.
- Experience with cloud platforms (Azure, AWS, GCP) for deploying AI solutions.
- Expertise in data engineering, including data curation, cleaning, and preprocessing.
- Knowledge of trusted AI practices (fairness, transparency, accountability).
- Experience collaborating with software engineering and operations teams for seamless integration and deployment.
- Excellent problem-solving and analytical skills to translate business needs into technical solutions.
- Strong communication and interpersonal skills for effective stakeholder collaboration.
- Understanding of data privacy, security, and ethical considerations in AI.
- A proven ability to drive innovation and stay current with AI research.
Desirable Skills:
- Application of trusted AI practices for fairness, transparency, and accountability.
- Utilization of optimization tools like MIP (Mixed Integer Programming).
- Experience with DevOps and MLOps practices (CI/CD, monitoring).
- Implementation of CI/CD pipelines for model deployment and scaling.
- Proficiency with tools such as Docker, Kubernetes, and Git for AI pipeline management.
- Application of Infrastructure as Code (IaC) principles using tools like Terraform or CloudFormation.
- Implementation of monitoring and logging tools for AI model performance and reliability.
- Seamless collaboration with software engineering and operations teams.
- Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
Join EY in Kolkata and be at the forefront of Generative AI innovation.
Company
EY
Kolkata
Posted on Naukri