- Design, develop, and deploy AI-powered solutions using LLMs, Generative AI, machine learning, and predictive analytics
- Develop data pipelines, feature engineering approaches, and analytical workflows
- Research AI methods, tools, and frameworks for enterprise operations business problems
- Design and execute experiments evaluating model effectiveness, accuracy, robustness, and operational performance
- Analyze large-scale structured and semi-structured datasets to generate insights and build predictive models
- Translate business requirements into technical approaches and communicate AI concepts to technical and non-technical audiences
- Support AI solution adoption through training, demonstrations, documentation, and stakeholder engagement
- Collaborate with engineers, data scientists, product owners, business leaders, and technology organizations
- Contribute to AI best practices, reusable frameworks, and technical standards
Requirements
- Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, Engineering, Mathematics, or a related field
- 3+ years of experience developing AI, machine learning, and data science solutions
- Proficiency in Python and modern AI/ML libraries and frameworks
- Experience with model evaluation, experimentation, performance measurement, and validation methodologies
- Experience working with large-scale tabular datasets using SQL, Spark, Databricks, or similar technologies
- Ability to collaborate effectively in culturally diverse and distributed teams
- Preferred: 5+ years of industry experience developing AI, machine learning, and data science solutions
- Preferred: Experience with Azure, AWS, or GCP
- Preferred: Version control tools such as GitHub and AI-assisted development tools such as GitHub Copilot
- Preferred: Experience with RAG, prompt engineering, and AI agents
- Preferred: Familiarity with MLOps, model monitoring, observability, and enterprise AI governance
- Preferred: Experience communicating technical concepts to business stakeholders
- Preferred: Experience working in highly collaborative, matrixed organizations
Core Competencies
Demonstrates expertise in designing and deploying AI-powered solutions, utilizing machine learning, predictive analytics, and data engineering techniques. Proficient in translating complex technical concepts for diverse audiences and fostering collaboration across teams to drive AI solution adoption.
Highest-signal resume keywords
- AI Solution Development
- Machine Learning Expertise
- Python Proficiency
- Data Pipeline Development
- Model Evaluation and Validation
ATS Optimization Keywords
Hard Skills
- Machine Learning
- Predictive Analytics
- Data Engineering
- Feature Engineering
- Model Evaluation
- SQL
- Spark
- Databricks
- AI/ML Libraries
- Experimentation Methodologies
Soft Skills
- Effective Collaboration
- Communication Skills
Industry Keywords
- Artificial Intelligence
- Data Science
- Enterprise AI Governance
- MLOps
- AI Best Practices
Tools & Technologies
- Azure
- AWS
- GCP
- GitHub
- GitHub Copilot