Role: Senior AI/ML Lead
Location: Fort Mill SC
Duration: 6 Months Contract
Need Candidate who can work onsite from Day 1 (4 days a week).
Candidate should have experience with AI LLM (Large Language Models).
Responsibilities:
- Lead AI Strategy and Roadmap: Define the AI strategy aligning it with business goals and identify key areas w
- here 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 CrossFunctional 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 highquality AI solutions with a focus on accuracy reliability and bias mitigation.
- Data Management and Preprocessing: Oversee data sourcing preprocessing 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 ScikitLearn and cloudbased 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 crossfunctional teams and to present complex technical information to nontechnical 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 (Masters or Ph.D.) in computer science AI machine learning or a related field.
Tekshapers is an equal opportunity employer and will consider all applications without regard to race sex age color religion national origin veteran status disability sexual orientation gender identity genetic information or any characteristic protected by law.