The Dignify Solutions, LLC · 1 month ago
Generative AI Practice Leader with BFSI Experience
The Dignify Solutions, LLC is seeking a Generative AI Practice Leader with BFSI Experience to lead AI and machine learning initiatives. The role requires extensive experience in enterprise architecture with a focus on generative AI and machine learning methodologies, as well as hands-on expertise in building and fine-tuning AI models.
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Responsibilities
Proven experience as an Enterprise Architect, Solution Architect, or a similar role, with a focus on AI/ML and generative AI
Strong understanding of generative AI techniques, including deep generative models, autoregressive models, and reinforcement learning for generative tasks
Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques
At least 5+ years of hands-on experience with building language models, machine learning and AI models leveraging industry tools, products, and / or Azure cognitive services
Deep and hands-on expertise in (as an individual contributor) Undertaking data collection, Data mining, preprocessing and analysis of structured and unstructured data
Hands-on expertise in large language models (LLMs/LSTMs/BERT) that can perform complex reasoning in few- and zero-shot settings by generating intermediate chain of thought (CoT) reasoning steps
Experience of building / customizing and fine-tuning AI models including LLM models via OpenAI (Azure), Bert (AWS) for rapid PoCs
Experience on LLM Model Governance, LLMSecOps, Hallucination and bias handling
Deep and hands-on experience in applying machine learning algorithms
Strong data science and data engineering background both with open source and cloud distributed machines learning and AI tools especially Azure Cognitive Services, Azure Machine Learning and AWS Sagemaker and Bedrocks
Strong understanding of Azure cloud technology including Cognitive Services viz. Vision, Speech, Language, Decision, Search and GenAI and its implementation
Qualification
Required
Bachelor's Degree with 15+ years of experience; Master's Degree with 12+ years of experience
Proven experience as an Enterprise Architect, Solution Architect, or a similar role, with a focus on AI/ML and generative AI
Strong understanding of generative AI techniques, including deep generative models, autoregressive models, and reinforcement learning for generative tasks
Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques
At least 5+ years of hands-on experience with building language models, machine learning and AI models leveraging industry tools, products, and / or Azure cognitive services
Deep and hands-on expertise in (as an individual contributor) Undertaking data collection, Data mining, preprocessing and analysis of structured and unstructured data
Hands-on expertise in large language models (LLMs/LSTMs/BERT) that can perform complex reasoning in few- and zero-shot settings by generating intermediate chain of thought (CoT) reasoning steps
Experience of building / customizing and fine-tuning AI models including LLM models via OpenAI (Azure), Bert (AWS) for rapid PoCs
Experience on LLM Model Governance, LLMSecOps, Hallucination and bias handling
Deep and hands-on experience in applying machine learning algorithms
Strong data science and data engineering background both with open source and cloud distributed machines learning and AI tools especially Azure Cognitive Services, Azure Machine Learning and AWS Sagemaker and Bedrocks
Strong understanding of Azure cloud technology including Cognitive Services viz. Vision, Speech, Language, Decision, Search and GenAI and its implementation
Company
The Dignify Solutions, LLC
The Dignify Solutions with Global Capabilities and Local Excellence – has combined experience of 30 +years in Client Services/ Engagement/ Relationship/ Partnership, Sales/ Account Management, Service Delivery, Recruiting, Staffing and Talent Acquisition for the whole gamut of skillsets in Information Technology (Digital Transformation, Artificial Intelligence, Machine Learning and other business domains).
Funding
Current Stage
Growth StageCompany data provided by crunchbase