Overview
On Site
Depends on Experience
Full Time
No Travel Required
Able to Provide Sponsorship
Skills
AI
Architect
Lifescience
Job Details
Required Skills & Experience:
Technical Expertise
- Strong foundation in AI/ML algorithms, deep learning, NLP, computer vision, and LLMs (e.g., GPT, BERT, T5).
- Experience in deploying models using cloud platforms (AWS, Azure, Google Cloud Platform) and containerization (Docker, Kubernetes).
- Proficiency in Python, TensorFlow/PyTorch, Scikit-learn, LangChain, Hugging Face, or equivalent frameworks.
- Understanding of MLOps, CI/CD for ML, model monitoring, and governance.
Strategic & Client-Facing Skills
- Proven experience in client consulting, pre-sales, or solutioning roles in AI services or platforms.
- Excellent communication and storytelling skills with the ability to influence stakeholders at various levels.
- Experience working across verticals such as Healthcare, BFSI, Retail, Manufacturing, or Life Sciences is a plus.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.