Software Engineer - AI/ML

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.