S&C Global Network - AI - FS Banking & Capital-Consultant
Accenture · Mumbai · onsite · Posted 21d ago
Undisclosed3–8 yrsfulltimeSourced from
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About this role
About The Role
Management Level:09 - Senior Consultant
Location:Gurgaon/Bangalore/Mumbai
Must have skills:Python Programming, Machine Learning, Statistical Analysis, Data Science, Generative AI (GPT, DALLE, GANs), Cloud (AWS/Azure/GCP), Model Deployment, API Development, Docker/Kubernetes
Good to have skills:PyTorch, TensorFlow, Large-Scale Data Processing, Cloud Integrations, NLP, Computer Vision, Security Best Practices, Performance Optimization, Open-Source Contributions
Experience :Minimum 3+ years of experience in Data Science, Machine Learning, or related fields with a focus on Generative AI models (LLMs) and API development .
Educational Qualification:Bachelor''s or Masters in Computer Science, Data Science, Statistics, Engineering, or related Analytics discipline from a premier institute.
Job
Summary:
Accenture AI is seeking a talented and motivated
Generative AI Data Scientist Consultant to join our Banking team. The ideal candidate will leverage their expertise in Generative AI models, Machine Learning, Data Analysis, and Cloud Platforms to develop innovative solutions and enhance 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:
Collaboration:Work closely with product managers, engineers, and other stakeholders to understand requirements and deliver impactful AI solutions.
Model Deployment:Containerize and deploy generative AI models using tools like Docker, Kubernetes, and cloud platforms (e.g., AWS, Azure, Google Cloud).
API Development:Design, develop, and deploy robust APIs to expose generative AI models (e.g., GPT, DALLE, Stable Diffusion, GANs) for integration into client systems and applications.
Client Collaboration:Work closely with clients to understand their technical requirements and deliver tailored API solutions that meet their business needs.
Generative AI Model Integration:Integrate generative AI models into existing workflows, applications, and platforms via APIs.
Performance Optimization:Optimize API performance for latency, scalability, and reliability, ensuring seamless user experiences.
Data Pipeline Development:Build and maintain data pipelines to support real-time or batch processing for generative AI models.
Security and Compliance:Implement security best practices and ensure APIs comply with data privacy and regulatory standards.
Documentation:Create comprehensive API documentation, including usage examples, SDKs, and troubleshooting guides.
Testing and Monitoring:Develop automated testing frameworks and monitoring systems to ensure API reliability and performance.
Stay Updated:Keep up with the latest advancements in generative AI, API development, and cloud technologies to bring innovative solutions to clients.
Qualification
Professional Technical
Skills: 3+ years of experience in
Data Science and
Machine Learning with a focus on
Generative AI models (LLMs). Strong proficiency in
Python programming and experience with
machine learning frameworks (e.g.,
TensorFlow, PyTorch). Expertise in
API Development and deployment, with hands-on experience with
Docker,
Kubernetes, and
cloud platforms (AWS, GCP, Azure). Ability to build and optimize
data pipelines for generative AI models. Knowledge of
security best practices and ensuring
compliance with regulatory standards. Strong problem-solving, analytical, and creative thinking skills to design and implement innovative solutions. Excellent
communication skills, capable of conveying complex technical concepts to diverse audiences.
Additional Information:
Experience with
large-scale data processing and expertise in
NLP or
computer vision. Contributions to
open-source AI/ML projects. Experience with
cloud integrations,
big data technologies, and
performance optimization. Familiarity with
security standards and
regulatory compliance in AI solutions.
Management Level:09 - Senior Consultant
Location:Gurgaon/Bangalore/Mumbai
Must have skills:Python Programming, Machine Learning, Statistical Analysis, Data Science, Generative AI (GPT, DALLE, GANs), Cloud (AWS/Azure/GCP), Model Deployment, API Development, Docker/Kubernetes
Good to have skills:PyTorch, TensorFlow, Large-Scale Data Processing, Cloud Integrations, NLP, Computer Vision, Security Best Practices, Performance Optimization, Open-Source Contributions
Experience :Minimum 3+ years of experience in Data Science, Machine Learning, or related fields with a focus on Generative AI models (LLMs) and API development .
Educational Qualification:Bachelor''s or Masters in Computer Science, Data Science, Statistics, Engineering, or related Analytics discipline from a premier institute.
Job
Summary:
Accenture AI is seeking a talented and motivated
Generative AI Data Scientist Consultant to join our Banking team. The ideal candidate will leverage their expertise in Generative AI models, Machine Learning, Data Analysis, and Cloud Platforms to develop innovative solutions and enhance 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:
Collaboration:Work closely with product managers, engineers, and other stakeholders to understand requirements and deliver impactful AI solutions.
Model Deployment:Containerize and deploy generative AI models using tools like Docker, Kubernetes, and cloud platforms (e.g., AWS, Azure, Google Cloud).
API Development:Design, develop, and deploy robust APIs to expose generative AI models (e.g., GPT, DALLE, Stable Diffusion, GANs) for integration into client systems and applications.
Client Collaboration:Work closely with clients to understand their technical requirements and deliver tailored API solutions that meet their business needs.
Generative AI Model Integration:Integrate generative AI models into existing workflows, applications, and platforms via APIs.
Performance Optimization:Optimize API performance for latency, scalability, and reliability, ensuring seamless user experiences.
Data Pipeline Development:Build and maintain data pipelines to support real-time or batch processing for generative AI models.
Security and Compliance:Implement security best practices and ensure APIs comply with data privacy and regulatory standards.
Documentation:Create comprehensive API documentation, including usage examples, SDKs, and troubleshooting guides.
Testing and Monitoring:Develop automated testing frameworks and monitoring systems to ensure API reliability and performance.
Stay Updated:Keep up with the latest advancements in generative AI, API development, and cloud technologies to bring innovative solutions to clients.
Qualification
Professional Technical
Skills:
Data Science and
Machine Learning with a focus on
Generative AI models (LLMs).
Python programming and experience with
machine learning frameworks (e.g.,
TensorFlow, PyTorch).
API Development and deployment, with hands-on experience with
Docker,
Kubernetes, and
cloud platforms (AWS, GCP, Azure).
data pipelines for generative AI models.
security best practices and ensuring
compliance with regulatory standards.
communication skills, capable of conveying complex technical concepts to diverse audiences.
Additional Information:
large-scale data processing and expertise in
NLP or
computer vision.
open-source AI/ML projects.
cloud integrations,
big data technologies, and
performance optimization.
security standards and
regulatory compliance in AI solutions.
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Skills
DockerKubernetesBatch processingcperformance optimizationComputer Visionai modelgoogle cloud platformamazon web servicesNatural Language Processingdata scientistBankingPytorchTensorflowPythondata analysiscomplianceMicrosoft AzureBig DataData 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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