ML Engineer I :: AI Engineer

AI & Machine Learning

• Strong experience in designing, developing, testing, and deploying AI/ML solutions.
• Hands-on experience with Generative AI and Large Language Models (LLMs) such as:
  • OpenAI
  • Anthropic
  • Llama
• Experience with prompt engineering and AI application development.
• Knowledge of Machine Learning and Deep Learning concepts.

Programming & Data Engineering

• Strong programming skills in:
  • Python
  • SQL
• Experience building and optimizing data pipelines for AI model training and inference.
• Experience developing scalable APIs and AI-powered services.

Generative AI & RAG

• Experience building:
  • Retrieval-Augmented Generation (RAG) solutions
  • AI Agents / Agentic AI applications
  • LLM-based enterprise applications
• Knowledge of:
  • Vector Databases
  • Semantic Search
  • Knowledge Retrieval Architectures

Cloud & DevOps

• Experience with at least one cloud platform:
  • Microsoft Azure
  • AWS
  • Google Cloud Platform (GCP)
• Experience with:
  • REST APIs
  • Git
  • Software Development Best Practices

MLOps & Model Lifecycle Management

• Experience implementing MLOps practices including:
  • Model Deployment
  • Monitoring
  • Testing
  • Versioning
  • Lifecycle Management
• Ability to evaluate, fine-tune, and monitor AI models for accuracy and performance.

Soft Skills

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management capabilities.
• Ability to collaborate with business, data, and engineering teams.
  • Experience translating business requirements into AI solutions.