9+ years of professional experience in business analysis, requirement gathering, and solution workflow design for AI/ML/Analytics projects. <
Proficiency in Python and SQL programming languages. <
Strong understanding of ML libraries and applications (e.g., Time Series Analysis, Neural Networks, SVMs, boosting methods), and their implementation using Python. <
Experience with Deep Learning techniques. <
Excellent communication skills to collaborate effectively with business SMEs, UX teams, and other stakeholders. <
Intermediate knowledge of DevOps practices, including CI/CD, Automation, Build Management, and Versioning.
Understanding of Cloud services, including Microsoft Azure, GCP, or Amazon Web Services (AWS).
Experience with LLM/Gen AI technologies, including Prompt Engineering, RAG, and parameter hypertuning.
Pyspark experience is a plus. <
RESPONSIBILITIES: < <
Demonstrate excellent problem-solving, critical thinking, and analytical thinking skills, with strong hands-on coding expertise. <
Proficient in data fetching, data merging, data wrangling, exploratory data analysis (EDA), and feature engineering. <
Strong Python and SQL skills with working knowledge of machine learning algorithms.
Lead client engagements and align the development team toward a clear technical roadmap.
Define and analyze analytical requirements, designing and testing standards and solutions to address system problems.
Develop solutions by preparing and evaluating alternative workflow solutions. <
Determine operational objectives by studying business functions, gathering information, and evaluating output requirements and formats. <
Design new analytical solutions by analyzing requirements, constructing workflow charts, studying system capabilities, and writing specifications. <
Improve systems by studying current practices and designing necessary modifications. <
Recommend controls by identifying problems and writing improved procedures. <
Define project requirements by identifying project milestones, phases, and elements; forming the project team; establishing project budgets. <
Monitor project progress by tracking activity, resolving issues, publishing progress reports, and recommending actions. <
Maintain system protocols by writing and updating procedures. <
Provide user support by maintaining user documentation, offering help desk assistance, and training users. <
Protect confidentiality by maintaining user confidence and safeguarding operations. <
Prepare technical reports by collecting, analyzing, and summarizing information and trends. <
Continuously improve professional and technical knowledge by attending workshops, reviewing publications, building networks, benchmarking practices, and participating in professional societies. <
