AI Architect

• Focus on AI Architect profiles rather than Senior/Lead Data Scientist profiles and with a Pharma/Life Sciences background, with Snowflake Cortex as a good-to-have skill.
• Work Type:
  Hybrid with min 4 days onsite per week

Requirements

• Experience in Data Science, Machine Learning, Artificial Intelligence, or related fields, with strong proficiency in SQL and Python.
• Hands-on experience in data analysis, feature engineering, model development, evaluation, and deployment of machine learning solutions to solve business problems.
• Good understanding of Generative AI concepts, including Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and emerging AI frameworks and protocols such as MCP.
• Ability to work with structured and unstructured data, build scalable AI/ML solutions, and collaborate with cross-functional teams to translate business requirements into data-driven outcomes.
• Strong problem-solving, analytical, and communication skills, with a demonstrated willingness and enthusiasm to learn new technologies, tools, and emerging AI/ML trends in a fast-evolving landscape.
• Preferred Qualifications:
  
  Experience with Snowflake data platform; exposure to Snowflake AI capabilities and Cortex services will be an added advantage.
• Familiarity with MLOps, model deployment, monitoring, and AI application lifecycle management.
• Knowledge of data warehousing, data engineering concepts, and API integrations.
• Exposure to GenAI application development, vector databases, semantic search, and AI orchestration frameworks.
• With Lifesciences experience preferred

Core Competencies

Demonstrates expertise in AI architecture, with a strong foundation in Data Science, Machine Learning, and Artificial Intelligence, particularly within the Pharma and Life Sciences sectors. Proficient in SQL and Python, with hands-on experience in model development, deployment, and collaboration across teams to drive data-driven solutions.

Highest-signal resume keywords

• AI Architecture
• Data Science
• Machine Learning
• SQL
• Python

ATS Optimization Keywords

Hard Skills

• Data Analysis
• Feature Engineering
• Model Development
• Model Evaluation
• Machine Learning Solutions
• Generative AI
• Large Language Models
• MLOps
• Data Warehousing
• API Integrations

Soft Skills

• Problem-Solving
• Analytical Skills
• Communication Skills
• Enthusiasm to Learn

Industry Keywords

• Pharma
• Life Sciences
• Data Engineering
• AI Application Lifecycle Management
• Retrieval-Augmented Generation

Tools & Technologies

• Snowflake
• Cortex
• Emerging AI Frameworks
• Vector Databases
• Semantic Search
• AI Orchestration Frameworks