Entry Data Science Specialist

**Role Overview:** As an AI Model Developer, you will be responsible for designing, developing, and implementing cutting-edge machine learning algorithms and models, with a focus on NLP, Generative AI, and other AI technologies. You will stay updated with the latest advancements in machine learning and artificial intelligence, conducting research to identify new techniques and approaches to enhance AI solutions. Analyzing large and complex datasets to extract meaningful insights using statistical analysis and machine learning techniques will be a key part of your role. **Key Responsibilities:** - Collaborate with cross-functional teams, including software engineers and data scientists, to effectively integrate machine learning models into applications and systems. - Optimize machine learning algorithms for performance, scalability, and efficiency, identifying and resolving bottlenecks for smooth execution. - Evaluate the performance of machine learning models using appropriate metrics, ensuring accuracy and reliability through rigorous testing and validation. - Document the development process, algorithms, and models, preparing clear and concise technical documentation for reference and knowledge sharing. - Conduct cost/benefit analysis, business case development, prioritize requirements, and create conceptual prototypes and mock-ups. - Master strategic business process modeling, traceability, and quality management techniques. - Demonstrate strong verbal and written communication and presentation skills, effectively communicating analytical outcomes to both business and technical teams. **Qualifications Required:** - Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.). - Familiarity with Finance & Accounting principles and/or project accounting. - Experience in developing and implementing machine learning models, particularly in NLP and Generative AI. - Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar frameworks. - Strong understanding of deep learning architectures, algorithms, and frameworks. - Experience with natural language processing techniques, sentiment analysis, text summarization, and related NLP tasks. - Familiarity with generative models such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders). - Bachelor's degree in computer science, Information Management/IT, Statistics, Business Administration, or related disciplines. - Master's Degree in Statistics, Business Administration, or related disciplines is a plus. - Certifications in Data Analytics & Data Science are a plus. - Must have 1+ years of experience working on ML algorithms and related products. - Must have 1+ years of experience working with relational databases (Oracle), query authoring (SQL). - Experience in Business Intelligence tools like Qlik Sense, Tableau, Power BI is a plus. - Strong Knowledge in ERP (Oracle EBS: Projects, AR, AP Modules). **Additional Company Details (if applicable):** CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as CDM Smith) reserves the right to require background checks including criminal, employment, education, licensure, etc., as well as credit and motor vehicle checks for certain positions. Background checks are conducted post-offer in the United States. The timing of background checks for positions outside the US will vary. Criminal history will not automatically disqualify a candidate.,