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The Dignify Solutions, LLC · 1 month ago

Data Partner / Practice Lead

Jersey City, NJ

Full-time

Onsite

Director/Executive

10+ years exp

The Dignify Solutions, LLC is seeking a Data Partner / Practice Lead with extensive experience in data science and machine learning. The role involves leading projects, mentoring teams, and designing AI solutions that integrate with existing systems across various industry verticals.

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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

Experience in at least one of the industry verticals such as Fintech, Life sciences & Healthcare, Manufacturing, or energy & Utilities 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

Qualification

Data scienceMachine learningAI solutions architectureGenerative AIPythonRJavaMLOpsData engineeringClient-facing skillsLeadershipCommunicationProblem-solving

Required