S&C Global Network - AI - FS Banking & Capital-Consultant
Accenture · Gurugram · onsite · Posted 48d ago
Undisclosed6–11 yrsfulltimeSourced from
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About this role
About The Role
Management Level:07 - Manager
Location :Gurgaon/Bangalore/Mumbai
Must have skills:Python Programming, Machine Learning, Generative AI (GPT, DALLE, GANs), Model Deployment, Cloud (AWS/Azure/GCP), Statistical Analysis, Data Science, API Development, Docker/Kubernetes
Good to have skills :PyTorch, TensorFlow, NLP, Computer Vision, Performance Optimization, Ethical AI Practices, Cloud Integrations, Open-Source Contributions
Experience:Minimum 6+ years of experience in Data Science, Machine Learning, or a related field with a focus on
Generative AI models (LLMs) and leadership in AI solutions.
Educational Qualification:Masters or Ph.D. in
Computer Science,
Data Science,
Statistics, or related field.
Job
Summary:
Accenture AI is seeking a talented and motivated Generative AI Data Scientist Lead to join our Banking team. The ideal candidate will leverage their expertise in Generative AI models, Machine Learning, Data Analysis and Cloud Platforms to drive and lead the development delivery of the innovative solutions and enhance our AI capabilities. This role will involve collaborating with cross-functional teams to design, develop, and implement generative AI solutions that meet our business needs.
Roles Responsibilities:
Independent Project Leadership:Take ownership of end-to-end project delivery, from problem definition to solution deployment, with minimal supervision.
Pod Leadership:Lead and mentor a small development pod (team) of data scientists and engineers, ensuring collaboration, innovation, and timely delivery of high-quality solutions.
Model Development:Design, develop, and deploy state-of-the-art
generative AI models (e.g., GPT, DALLE, Stable Diffusion, GANs) for applications such as text generation, image synthesis, content creation, and more.
Strategy Development:Provide strategic recommendations to clients on how to integrate generative AI into their workflows and business processes.
Ethical AI Practices:Ensure responsible use of generative AI by addressing biases, ethical concerns, and compliance with regulations.
Performance Evaluation:Develop evaluation metrics and methodologies to assess the performance of generative models and ensure they meet quality standards.
Collaboration:Work closely with product managers, engineers, and other stakeholders to understand requirements and deliver impactful AI solutions.
Research and Innovation:Stay up-to-date with the latest advancements in generative AI and machine learning, applying that knowledge to improve existing models and techniques.
Mentorship:Guide and mentor junior team members, fostering a culture of innovation and continuous learning.
Qualification
Professional Technical
Skills:
6+ years of experience in
Data Science,
Machine Learning, or related fields with a focus on
Generative AI models (LLMs).
Expert proficiency in
Python programming and experience with
machine learning frameworks (e.g.,
TensorFlow,
PyTorch). Hands-on experience with
cloud platforms (AWS, GCP, Azure), including
deployment and
solution building. Ability to work with
Docker,
Kubernetes, and
API Development to deploy generative AI models. Strong analytical,
problem-solving, and
critical thinking skills. Expertise in
ethical AI practices and understanding of the biases and regulations surrounding
Generative AI. Excellent
verbal and written communication skills, with the ability to clearly convey complex concepts to diverse audiences.
Additional Information:
Experience with
large-scale data processing and
cloud computing platforms. Familiarity with
NLP,
computer vision, and other AI applications.
Publications or contributions to
open-source AI/ML projects. Experience in
cloud integrations and
performance optimization. Strong leadership skills with experience in guiding teams and managing AI projects.
Management Level:07 - Manager
Location :Gurgaon/Bangalore/Mumbai
Must have skills:Python Programming, Machine Learning, Generative AI (GPT, DALLE, GANs), Model Deployment, Cloud (AWS/Azure/GCP), Statistical Analysis, Data Science, API Development, Docker/Kubernetes
Good to have skills :PyTorch, TensorFlow, NLP, Computer Vision, Performance Optimization, Ethical AI Practices, Cloud Integrations, Open-Source Contributions
Experience:Minimum 6+ years of experience in Data Science, Machine Learning, or a related field with a focus on
Generative AI models (LLMs) and leadership in AI solutions.
Educational Qualification:Masters or Ph.D. in
Computer Science,
Data Science,
Statistics, or related field.
Job
Summary:
Accenture AI is seeking a talented and motivated Generative AI Data Scientist Lead to join our Banking team. The ideal candidate will leverage their expertise in Generative AI models, Machine Learning, Data Analysis and Cloud Platforms to drive and lead the development delivery of the innovative solutions and enhance our AI capabilities. This role will involve collaborating with cross-functional teams to design, develop, and implement generative AI solutions that meet our business needs.
Roles Responsibilities:
Independent Project Leadership:Take ownership of end-to-end project delivery, from problem definition to solution deployment, with minimal supervision.
Pod Leadership:Lead and mentor a small development pod (team) of data scientists and engineers, ensuring collaboration, innovation, and timely delivery of high-quality solutions.
Model Development:Design, develop, and deploy state-of-the-art
generative AI models (e.g., GPT, DALLE, Stable Diffusion, GANs) for applications such as text generation, image synthesis, content creation, and more.
Strategy Development:Provide strategic recommendations to clients on how to integrate generative AI into their workflows and business processes.
Ethical AI Practices:Ensure responsible use of generative AI by addressing biases, ethical concerns, and compliance with regulations.
Performance Evaluation:Develop evaluation metrics and methodologies to assess the performance of generative models and ensure they meet quality standards.
Collaboration:Work closely with product managers, engineers, and other stakeholders to understand requirements and deliver impactful AI solutions.
Research and Innovation:Stay up-to-date with the latest advancements in generative AI and machine learning, applying that knowledge to improve existing models and techniques.
Mentorship:Guide and mentor junior team members, fostering a culture of innovation and continuous learning.
Qualification
Professional Technical
Skills:
6+ years of experience in
Data Science,
Machine Learning, or related fields with a focus on
Generative AI models (LLMs).
Expert proficiency in
Python programming and experience with
machine learning frameworks (e.g.,
TensorFlow,
PyTorch).
cloud platforms (AWS, GCP, Azure), including
deployment and
solution building.
Docker,
Kubernetes, and
API Development to deploy generative AI models.
problem-solving, and
critical thinking skills.
ethical AI practices and understanding of the biases and regulations surrounding
Generative AI.
verbal and written communication skills, with the ability to clearly convey complex concepts to diverse audiences.
Additional Information:
large-scale data processing and
cloud computing platforms.
NLP,
computer vision, and other AI applications.
Publications or contributions to
open-source AI/ML projects.
cloud integrations and
performance optimization.
Sourced from naukri
Skills
DockerKubernetesCloud Computingcperformance optimizationComputer Visiongoogle cloud platformamazon web servicesNatural Language Processingdata scientistBankingPytorchTensorflowPythonContent Creationdata analysiscomplianceMicrosoft AzureData ScienceArtificial IntelligenceMachine Learning
About Accenture
Accenture
IT Services & Consulting
350k+
employees
1989
37 years old
Dublin
Ireland
About
Accenture plc is an Irish-American, professional services company based in Dublin, specializing in information technology services and consulting.
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