AI/Machine Learning Lead

Role: AI/Machine Learning Lead

Location: Fort Mill, SC

Mode of Hire: Full Time

Responsibilities

• Lead AI Strategy and Roadmap: Define the AI strategy, aligning it with business goals, and identify key areas where AI can create value for the organization.
• Oversee AI Solution Development: Guide the development and implementation of AI models, including machine learning, NLP, computer vision, and predictive analytics, ensuring solutions are robust, scalable, and aligned with requirements.
• Collaborate with Cross-Functional Teams: Work closely with product managers, data engineers, and software developers to integrate AI solutions into products and services.
• Ensure Model Quality and Accuracy: Establish best practices for model development, testing, and validation to ensure high-quality AI solutions, with a focus on accuracy, reliability, and bias mitigation.
• Data Management and Pre-processing: Oversee data sourcing, pre-processing, and feature engineering to ensure the quality and readiness of data used for AI models.

Skills Required:

• Experience: 3+ years of experience in AI, machine learning, or data science, with a proven track record of deploying AI solutions in a production environment.
• Technical Expertise: Deep understanding of AI and machine learning techniques, including supervised and unsupervised learning, NLP, computer vision, deep learning, and statistical modeling.
• Proficiency in AI Tools and Frameworks: Strong experience with AI and machine learning frameworks such as TensorFlow, PyTorch, Scikit-Learn, and cloud-based ML services (e.g., AWS SageMaker, Azure ML, Google AI).
• Programming Skills: Proficiency in programming languages like Python and familiarity with data processing libraries (e.g., Pandas, NumPy).
• Data Management Knowledge: Experience with big data technologies (e.g., Hadoop, Spark) and data engineering best practices.
• Strategic and Analytical Thinking: Ability to develop AI strategies aligned with business goals and assess the business impact of AI initiatives.
• Communication and Collaboration: Excellent communication skills to work effectively with cross-functional teams and to present complex technical information to non-technical stakeholders.

Preferred Skills:

• Knowledge of AI ethics, governance, and regulatory considerations.
• Experience with MLOps practices and tools for continuous integration/continuous deployment (CI/CD) of AI models.
• Advanced degree (Master's or Ph.D.) in computer science, AI, machine learning, or a related field.