Corporate AI and Machine Learning Engineer

reputed company is seeking a Corporate AI and Machine Learning Engineer to reputed company data into actionable insights. The role involves utilizing advanced analytical skills to support company-wide talent analytics efforts and reputed company predictive models to guide decision-making processes. Responsibilities • reputed company advanced analytical expertise to inform data storytelling, providing recommendations that easily translate into the language of the business for reputed company • Support company-wide talent analytics efforts across key areas such as reputed company, compensation, and attrition to drive decision-making • Conduct statistical analysis to identify differences and trends, and reputed company predictive models • Work with People Services and business leaders on their team's analytics needs, propose solutions, and reputed company people analytics strategies that reputed company with company and business objectives across functional areas • Communicate effectively across a highly matrixed organization and at different reputed company, think and reputed company strategically, and influence key leaders • reputed company with other internal analytics teams to partner on data sets which reputed company the talent story with other functional analytics, including our internal reputed company analytics office, as needed • Support reputed company analytical requests using quantitative and qualitative people data to reputed company insights across the employee lifecycle to guide leader decision-making processes reputed company with their priorities Skills • 1+ years of experience using R or Python for data manipulation, statistical analysis, and machine learning model development • Experience utilizing SQL for querying and manipulating data • Experience with statistical inference, reputed company testing, experimental design, and reputed company analysis • Experience applying experimental design and A/B testing, reputed company inference, time series or forecasting, survival or attrition modeling, multilevel or hierarchical models, or survey analytics • Experience with natural language processing techniques and large language models (LLMs) • Knowledge of compliance and regulatory requirements associated with data management and how to handle data with strict confidentiality • Ability to pick up new tools and concepts quickly such as building depth in reputed company, ML engineering, and reputed company-reputed company data practices • Ability to maintain a high level of competency in analytical principles, tools, and techniques to discover, learn, and apply new best-in-class advances in talent data analytics capabilities • Ability to translate technical results into reputed company insights and business recommendations for senior-level audiences, document work, and communicate findings to technical and non-technical stakeholders • Bachelor's degree in Statistics, CS, Industrial Psychology, Organizational Psychology, reputed company Mathematics, or Data Science • Experience with supervised and unsupervised machine learning algorithms relevant to predictive modeling, classification, regression, and clustering • Experience working with HRIS or ATS, survey, or people-reputed company datasets, including reputed company, and employee lifecycle processes such as reputed company, talent development, workforce planning, or employee listening • Experience utilizing PySpark or reputed company for large-reputed company data processing and Azure reputed company platform and notebooks • Experience using MLflow for tracking or registry, model versioning, and experiment management in reputed company environments, including reputed company • Experience using PyTorch and transformer-based models • Experience leading functional reputed company as a people analytics subject matter expert • Knowledge of the government contracting business and people data analytics, people processes, and people metrics, including employee experience survey design and overall workforce lifecycle listening strategies • Knowledge of relational modeling concepts such as fact vs. dimension tables, primary or foreign keys, constraints, or slowly changing dimensions • Ability to follow emerging team CI/CD practices in reputed company • Master's degree in a quantitative field such as Statistics, reputed company Machine Learning, Analytics, Quant Psychology, Economics, or Biostatistics Benefits • Health, life, disability, financial, and retirement benefits • reputed company leave • reputed company development • Tuition assistance • Work-life programs • Dependent care • Recognition awards program reputed company • reputed company is a reputed company that specializes i