The Dignify Solutions, LLC · 1 month ago
Data Partner/Practice Lead - Remote With Travel
United States
Full-time
Remote
Director/Executive
10+ years expThe Dignify Solutions, LLC is seeking a Data Partner/Practice Lead with extensive experience in data science and machine learning. The role involves leading projects and teams in the Life Sciences Pharma R&D & Medical Devices industry, focusing on the design and implementation of AI/ML solutions within a system integration context.
Bookkeeping and PayrollHuman ResourcesRecruitingStaffing AgencyTraining
Responsibilities
Extensive experience (10-12+ years) in data science, machine learning, AI, or related domains, with a proven track record of leading successful projects and teams within a system integration context
Strong understanding of system integration principles, architectures, and technologies, with the ability to design and implement data science and AI/ML solutions that seamlessly integrate with existing systems and processes
Focused experience on Life Sciences Pharma R&D & Medical Devices industry is MUST, along with relevant certifications in data science, AI, or related fields
Deep working knowledge of Generative AI and the latest market trends and create a roadmap and vision for our clients
4-5 years of experience working as a data science practice leader at Big 4 or boutique consulting firms
Experience in solutions architecture. technical domains such as AI/ML, multimodal ML, model evaluation, MLOps, MLSecOps, ML training, inference, data engineering, data science, fine-tuning
Proficiency in programming languages such as Python, R, and Java, along with experience with data and AI libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
Experience in advanced analytics tools (Python, R) along with applied mathematics, ML, Deep Learning frameworks (such as TensorFlow), and ML techniques (such as random forest and neural networks)
Experience in Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, Deep Neural Networks,..)
Developing AI and ML models in real-world environments and integrating AI and ML using cloud-native or hybrid technologies into large-scale enterprise applications
Qualification
Required
Extensive experience (10-12+ years) in data science, machine learning, AI, or related domains, with a proven track record of leading successful projects and teams within a system integration context
Strong understanding of system integration principles, architectures, and technologies, with the ability to design and implement data science and AI/ML solutions that seamlessly integrate with existing systems and processes
Focused experience on Life Sciences Pharma R&D & Medical Devices industry is MUST, along with relevant certifications in data science, AI, or related fields
Deep working knowledge of Generative AI and the latest market trends and create a roadmap and vision for our clients
4-5 years of experience working as a data science practice leader at Big 4 or boutique consulting firms
Experience in solutions architecture. technical domains such as AI/ML, multimodal ML, model evaluation, MLOps, MLSecOps, ML training, inference, data engineering, data science, fine-tuning
Proficiency in programming languages such as Python, R, and Java, along with experience with data and AI libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
Experience in advanced analytics tools (Python, R) along with applied mathematics, ML, Deep Learning frameworks (such as TensorFlow), and ML techniques (such as random forest and neural networks)
Experience in Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, Deep Neural Networks,..)
Developing AI and ML models in real-world environments and integrating AI and ML using cloud-native or hybrid technologies into large-scale enterprise applications
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).
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase