BioQuest Solutions - AI Solution Architect

Description :

- Conduct research to identify the best AI models, frameworks, and technologies for integration into the company ecosystem.

- Develop and oversee Proofs of Concept (PoCs) to validate AI-driven capabilities and business value.

- Collaborate with stakeholders to align AI initiatives with product vision and business strategy.

- Drive recruitment, onboarding, mentoring, and continuous development of AI and engineering talent.

- Oversee automated, manual, regression, progression, and exploratory testing efforts and provide deployment validation

support.

- Define the AI architecture and technical roadmap ensuring smooth integration into cloud platforms and existing systems.

- Own the end-to-end lifecycle of AI feature developmentfrom ideation and design to deployment and performance tuning.

- Establish MLOps practices for continuous training, evaluation, deployment, and monitoring of AI models.

- Ensure compliance with data privacy regulations, ethical AI guidelines, and internal security standards.

Technical Skills Required :

- Proficient in Python and frameworks such as Django REST Framework.

- Strong command of AI/ML libraries including NumPy, scikit-learn, TensorFlow, PyTorch, Torch, Sentence-Transformers, SpaCy, and NLTK.

- Experience in prompt engineering and working with AI-powered NLP tools.

- Familiarity with Generative AI (GenAI) approaches and their practical implementation.

- Experience with end-to-end model development, deployment, and performance optimization in cloud environments.

- Strong understanding of MLOps processes including CI/CD for ML, model monitoring, and continuous training pipelines.