Business Analysis & Solution Design: Engage with business SMEs to gather requirements and translate them into technical specifications. Design end-to-end solution workflows for AI/ML, NLP, and analytics use cases. Define project requirements, including milestones, phases, and deliverables, while aligning the development team towards a technical roadmap. Prepare and evaluate alternative workflow solutions and system modifications to meet business objectives. Technical Implementation & Problem-Solving: Conduct exploratory data analysis, data wrangling, and feature engineering using Python and SQL. Develop and implement machine learning models, including Time Series Analysis, Neural Networks, SVMs, and boosting methods using Python ML libraries. Apply deep learning techniques and work on LLM/Generative AI solutions, including prompt engineering, retrieval-augmented generation (RAG), and hyperparameter tuning. Provide hands-on coding support and drive the technical implementation of solutions. Collaboration & Communication: Work closely with UX teams and business stakeholders to ensure alignment of AI/ML solutions with business needs. Act as the primary point of contact for clients, ensuring effective communication of project progress, risks, and roadblocks. Prepare technical reports and maintain user documentation for delivered solutions. DevOps & Cloud Integration: Collaborate with DevOps teams to implement CI/CD pipelines, build management, and versioning. Deploy AI/ML solutions on cloud platforms such as Microsoft Azure, Google Cloud Platform (GCP), or Amazon Web Services (AWS). Ensure scalable and reliable deployment of solutions by applying DevOps best practices. Required Skills: 5-7 years of experience in business analysis, requirement gathering, and solution design for AI/ML projects. Strong programming skills in Python and SQL. Hands-on experience with machine learning libraries and techniques, including Time Series Analysis, Neural Networks, SVMs, and boosting methods. Experience with Deep Learning and LLM/Gen AI, including Prompt Engineering, RAG, and hyperparameter tuning. Strong understanding of DevOps practices, including CI/CD, build management, and versioning. Intermediate knowledge of cloud services like Azure, GCP, or AWS. Excellent communication and collaboration skills to work effectively with business stakeholders and technical teams. Proficiency in data preparation, data merging, and exploratory data analysis. Strong analytical and critical thinking skills with a problem-solving mindset.