Overnight Machine Learning R Jobs in New Jersey (NOW HIRING)

Job Summary:
The Dignify Solutions, LLC is a company focused on providing innovative data solutions, and they are seeking a Digital & Data Partner to lead their data science and AI initiatives. The role requires extensive experience in data science, machine learning, and system integration, particularly within the Life Sciences Pharma R&D & Medical Devices industry, to design and implement effective data solutions for clients.
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
• Excellent communication, leadership, and client-facing skills, with the ability to build trusted relationships, influence stakeholders, and articulate complex technical concepts to diverse audiences.
• Strong analytical and problem-solving abilities, with a passion for driving innovation and leveraging data-driven insights to solve business challenges for clients.
• 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
• Manage and mentor a team of skilled data scientists, fostering a culture of collaboration, innovation, and continuous learning.
• 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).
• Take the lead in designing the AI architecture and selecting technologies from both open-source and commercial offerings.
• Knowing the workflow and pipeline architectures of ML and deep learning workloads, including the components and trade-offs across data management, governance, model building, deployment, and production workflows, is crucial.
• 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.
Qualifications:
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.
• Excellent communication, leadership, and client-facing skills, with the ability to build trusted relationships, influence stakeholders, and articulate complex technical concepts to diverse audiences.
• Strong analytical and problem-solving abilities, with a passion for driving innovation and leveraging data-driven insights to solve business challenges for clients.
• 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.
• Manage and mentor a team of skilled data scientists, fostering a culture of collaboration, innovation, and continuous learning.
• 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).
• Take the lead in designing the AI architecture and selecting technologies from both open-source and commercial offerings.
• Knowing the workflow and pipeline architectures of ML and deep learning workloads, including the components and trade-offs across data management, governance, model building, deployment, and production workflows, is crucial.
• 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 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). Founded in , the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.