The Dignify Solutions, LLC · 1 month ago
Generative AI Practice Leader with LifeSciences Experience- Hybrid
The Dignify Solutions, LLC is a company focused on innovative solutions in the Life Sciences domain. They are seeking a Generative AI Practice Leader to leverage their expertise in AI and generative techniques to drive projects within the Pharma and MedTech sectors.
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Responsibilities
Proven experience as an Enterprise Architect, Solution Architect, or a similar role, with a focus on AI/Client and generative AI
Experience in Life Sciences (Pharma + MedTech) domain
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, Client and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and Client 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
Proven experience as an Enterprise Architect, Solution Architect, or a similar role, with a focus on AI/Client and generative AI
Experience in Life Sciences (Pharma + MedTech) domain
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, Client and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and Client 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