Mandatory Skills:
- Strong verbal and written communication skills with regular status reporting and stakeholder updates.
- Ability to independently estimate, manage, and deliver assigned tasks within deadlines.
- Strong ownership, accountability, and problem-solving mindset.
- Good understanding of SDLC, AI/ML development lifecycle, testing, and code review practices.
- Ability to proactively identify risks, dependencies, and potential issues early in the development lifecycle.
- Ability to validate approaches, seek guidance when required, and minimize rework through effective planning and communication.
- Ability to proactively understand business requirements, seek clarifications, and communicate effectively with team members and clients.
- Experience working in Agile development environments.
- Ability to mentor junior team members and contribute to knowledge-sharing initiatives.
Preferred Skills:
- Strong analytical, logical reasoning, and troubleshooting skills.
- Experience conducting peer reviews and providing constructive, actionable feedback.
- Ability to actively participate in reviews and continuously improve based on feedback received.
- Good documentation and technical communication skills.
- Proactive approach toward continuous learning, certifications, and skill enhancement.
- Ability to translate business requirements into scalable AI, Machine Learning, and Generative AI solutions.
- Experience leveraging AI-assisted development tools for coding, debugging, testing, documentation, and productivity improvement.
- Growth mindset with a focus on continuous improvement, innovation, and quality delivery.
Technical Skills:
- Strong experience with Azure AI Services, Azure Machine Learning, Azure OpenAI, and related Azure cloud services.
- Proficiency in Python and experience with AI/ML frameworks, libraries, and model development practices.
- Strong understanding of Machine Learning concepts including data preparation, model training, evaluation, deployment, and monitoring.
- Experience with Generative AI, Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) solutions.
- Familiarity with Azure AI Search, vector databases, embeddings, and semantic search concepts.
- Experience integrating AI/ML solutions with enterprise applications using REST APIs and cloud-based architectures.
- Knowledge of Azure Cognitive Services including Document Intelligence, Language Services, Speech Services, and Vision Services.
- Understanding of MLOps concepts, model governance, versioning, deployment pipelines, and performance optimization.
- Knowledge of SQL, data engineering concepts, data governance, security, compliance, and Responsible AI practices.
- Experience with Git, Azure DevOps, CI/CD, and source control best practices.
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