Fursadaha Dhalinyarada(Opportunities 4 Youth) Hiring! Full Time Junior AI Engineer - AI Analyst in - Ricebowl

We are seeking a highly motivated and technically skilled Junior AI Engineer / AI Analyst to support the development, implementation, testing, and optimization of artificial intelligence and machine learning solutions. In this role, you will work with data, algorithms, models, and AI technologies to help solve business problems and improve products, processes, and operational efficiency. Responsibilities include collecting and preparing datasets, performing exploratory data analysis, developing and evaluating machine learning models, testing AI applications, monitoring model performance, and documenting technical processes and analytical findings. You will collaborate with software engineers, data scientists, business analysts, product teams, and other stakeholders to understand requirements and translate business challenges into practical AI-driven solutions. The role also involves supporting data preprocessing, feature engineering, model training, validation, experimentation, and deployment activities. You may assist with natural language processing, computer vision, predictive analytics, generative AI, large language models, and automation initiatives depending on business requirements. You will contribute to troubleshooting technical issues, improving model accuracy, optimizing workflows, and evaluating emerging AI technologies and tools. Success in this position requires strong analytical thinking, programming knowledge, curiosity, attention to detail, and the ability to learn rapidly while applying responsible and ethical AI practices to deliver reliable, scalable, and effective solutions.

• Bachelor's degree or higher in Artificial Intelligence, Computer Science, Data Science, Machine Learning, Software Engineering, Mathematics, Statistics, Information Technology, Engineering, or a related technical field.
• Strong understanding of fundamental AI, machine learning, data analysis, statistics, algorithms, and programming concepts.
• Proficiency in Python or another programming language commonly used for AI and data analysis.
• Familiarity with Python libraries and frameworks such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Matplotlib, or similar technologies.
• Understanding of machine learning concepts including supervised learning, unsupervised learning, classification, regression, clustering, model training, and model evaluation.
• Familiarity with data preprocessing, data cleaning, exploratory data analysis, feature engineering, and dataset validation.
• Knowledge of SQL and relational databases for querying, extracting, and analyzing structured data is an advantage.
• Familiarity with natural language processing (NLP), computer vision, generative AI, large language models (LLMs), or AI automation is considered an advantage.
• Understanding of REST APIs, software development principles, Git, version control, and basic application integration concepts.
• Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud and AI/ML services is an advantage.
• Strong analytical, critical thinking, and problem-solving skills with the ability to investigate complex technical and data-related challenges.
• Ability to analyze model results, identify performance issues, interpret findings, and communicate insights clearly to technical and non-technical stakeholders.
• Familiarity with data visualization tools such as Power BI, Tableau, or similar platforms is an advantage.
• Understanding of responsible AI principles, data privacy, model fairness, security, and ethical considerations in AI development.
• Strong communication and collaboration skills with the ability to work effectively with cross-functional teams and technical stakeholders.
• Excellent attention to detail with a commitment to producing accurate, reliable, maintainable, and well-documented work.
• Proactive mindset, strong curiosity, adaptability, and willingness to continuously learn emerging AI technologies, machine learning techniques, programming frameworks, and industry best practices.