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Artificial Intelligence Engineer
Skills
APIArtificial IntelligenceComputer VisionFastapiMlopsMachine LearningNatural Language Processing
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Strong software engineering background with AI and ML deployment experience in production using Python and FastAPI
- Strong Python programming skills with experience in TensorFlow PyTorch or Scikit-learn
- Experience with large-scale data processing frameworks and distributed systems
- Proven ability to build deploy and maintain ML models including NLP NLU deep learning or computer vision
- Strong understanding of statistics probability optimization and experimental methods
- Experience with APIs microservices architecture and cloud platforms preferably Azure
- Strong communication skills for explaining technical concepts to business and leadership stakeholders
- Experience working in cross-functional teams across engineering data science product and business groups
Nice to have
- Healthcare experience
- Payer systems knowledge
- Clinical decision support experience
- Compliance awareness
- Governance mindset
- Audit process familiarity
- Enterprise solution focus
- MLOps exposure
- Roadmap delivery experience
Day to day
- Design and deploy scalable AI and ML models for commercial initiatives in a cloud production environment
- Build AI-powered applications and services using Python and FastAPI with robust APIs and data pipelines
- Collaborate with cross-functional stakeholders to translate business needs into secure compliant technical solutions
- Communicate model outputs insights and technical recommendations clearly to leadership and business teams
Hiring process
- Email resume and contact information to rohit AT anaghtech.com