ML Engg

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ML Engineer Model, build, and test AI software to ensure it can take on large swaths of data and achieve desired results. Use Python, JavaScript, and C++ to create a faster, more capable AI. Analyze statistics, data, and algorithms for projection accuracy. Use AI analysis to make strategy recommendations that align with company goals. Stay current on AI knowledge, trends, and regulations. Collect, organize, and present progress with team leadership and stakeholders 4+ years of experience applying AI to practical uses. Experience with deep learning, NLP, and TensorFlow. Experience writing robust code in Python, Java, and/or R. Experience in REST API development, NoSQL database design, and RDBMS design and optimizations. Insight Delivery With some oversight, provide business intelligence advice and insights to business stakeholders supporting fact-based decision making. Provides ad hoc data pipelines for analysts to support complex insights and analysis. Oversees activities of junior team members in the delivery of data visualization and reporting to support insight delivery and advanced analysis. Skills Needed Business Intelligence Tools: Tableau, Power BI, Power Platform, SSRS Database Management: SQL Server, Oracle, MySQL ETL Tools: SSIS, Talend Data Modeling: Dimensional modeling, Data Warehousing Programming Languages: SQL, Python, DAX, M Cloud Platforms: Microsoft Azure Deep understanding of data science, linear algebra, algorithms, and statistics. In-depth knowledge of computer programming languages, such as Python, JavaScript, and C++. Data Analysis and Visualization Data Governance and Quality Assurance Data Storage and Data Security Strong Problem-Solving and Communication Skills Team Leadership and Mentorship