The Dignify Solutions, LLC
Generative AI Practice Leader with LifeSciences Experience- Hybrid
The Dignify Solutions, LLC, Jersey City, New Jersey, United States, 07390
Generative AI Practice Leader with Life Sciences Experience – Hybrid
4 weeks ago – Be among the first 25 applicants
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 with 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 building language models, machine learning and AI models leveraging industry tools, products, and/ or Azure cognitive services.
Deep and hands‑on expertise in 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 building/customizing and fine‑tuning AI models including LLM models via OpenAI (Azure), BERT (AWS) for rapid PoCs.
Experience with LLM model governance, LLMSecOps, hallucination and bias handling.
Deep and hands‑on experience applying machine learning algorithms.
Strong data science and data engineering background with open‑source and cloud‑distributed machine learning and AI tools, especially Azure Cognitive Services, Azure Machine Learning, AWS SageMaker and Bedrock.
Strong understanding of Azure cloud technology including Cognitive Services such as Vision, Speech, Language, Decision, Search and GenAI and its implementation.
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function Other
Industries IT Services and IT Consulting
Location Jersey City, NJ
#J-18808-Ljbffr
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 with 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 building language models, machine learning and AI models leveraging industry tools, products, and/ or Azure cognitive services.
Deep and hands‑on expertise in 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 building/customizing and fine‑tuning AI models including LLM models via OpenAI (Azure), BERT (AWS) for rapid PoCs.
Experience with LLM model governance, LLMSecOps, hallucination and bias handling.
Deep and hands‑on experience applying machine learning algorithms.
Strong data science and data engineering background with open‑source and cloud‑distributed machine learning and AI tools, especially Azure Cognitive Services, Azure Machine Learning, AWS SageMaker and Bedrock.
Strong understanding of Azure cloud technology including Cognitive Services such as Vision, Speech, Language, Decision, Search and GenAI and its implementation.
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function Other
Industries IT Services and IT Consulting
Location Jersey City, NJ
#J-18808-Ljbffr