Mandatory Skills:
  • Strong verbal and written communication skills with regular progress reporting and status updates.
  • Effective task, time, and deadline management.
  • Ownership, accountability, and willingness to seek clarification and support when required.
  • Strong teamwork and collaboration skills.
  • Active participation in project discussions, meetings, and documentation activities.
  • Professional conduct, attention to detail, and commitment to quality.
  • Positive attitude, analytical thinking, and problem-solving mindset.

Preferred Skills:
  • Strong analytical, logical reasoning, and problem-solving abilities.
  • Familiarity with Agile methodologies and Git/version control systems.
  • Good documentation, testing, debugging, and troubleshooting skills.
  • Openness to feedback, peer reviews, and continuous improvement.
  • Ability to understand business requirements and translate them into AI-powered solutions.
  • Interest in Machine Learning, Generative AI, Natural Language Processing (NLP), and intelligent automation.
  • Proactive approach toward identifying opportunities for AI-driven improvements.
  • Growth mindset with continuous learning through certifications, training, and skill-development initiatives.

Technical Skills:
  • Understanding of Azure AI Services, Azure Machine Learning, and Azure OpenAI Services.
  • Knowledge of Machine Learning concepts, model training, evaluation, and deployment.
  • Proficiency in Python and familiarity with AI/ML development libraries and frameworks.
  • Understanding of Generative AI, Large Language Models (LLMs), prompt engineering, and Retrieval-Augmented Generation (RAG).
  • Experience with data preprocessing, data analysis, and model performance optimization.
  • Knowledge of REST APIs, AI service integrations, and cloud-based application development.
  • Familiarity with Azure Cognitive Services, Document Intelligence, Speech Services, and Language Services.
  • Understanding of vector databases, embeddings, and AI search concepts.
  • Knowledge of SQL, data management, governance, security, and responsible AI principles.
  • Familiarity with Azure DevOps, CI/CD pipelines, and MLOps concepts is an added advantage.
  • Working knowledge of AI-assisted development tools for code generation, debugging, testing, documentation, and productivity enhancement.