Engagement Director

As a Machine Learning Engineer at SigView, your primary role will be to build and interpret machine learning models on real business data. You will work with various machine learning algorithms such as Logistic Regression, Boosted trees (Gradient boosting), Random Forests, and Decision Trees to develop innovative solutions for business problems. Your key responsibilities will include: - Identifying data sources and integrating multiple sources or types of data - Applying data analytics expertise to overcome limitations and extend the applicability of the data - Extracting data from relevant sources through manual and automated web scraping - Validating third-party metrics and determining numerical variables for analysis - Performing exploratory data analysis using PySpark to finalize compulsory variables - Collaborating with offshore teams to identify the best statistical model for solving business problems - Collating model results and preparing detailed technical reports for future scenarios - Interpreting test results to provide insights and guidance on risks and limitations To excel in this role, you will need: - A Bachelor's Degree in Electronics Engineering, Computer Engineering, Data Analytics, Computer Science, or a related field - Five (5) years of progressive experience in machine learning or related fields - Strong skills in statistical methods, machine learning model interpretation, and data preparation - Proficiency in tools such as Python, Scikit-Learn, XGBoost, Databricks, Excel, and Azure Machine Learning - Knowledge of innovative data analytics methods and algorithms including Spark, Elasticsearch, and Azure Cloud services Additionally, your mathematical knowledge in Statistics, Probability, Linear Algebra, and Geometry will be beneficial. Familiarity with Data Science libraries like NumPy, SciPy, Pandas, and Azure Data Factory will also be advantageous. The base salary for this position ranges from $171,000 to $190,000 per annum for 40 hours per week, Monday to Friday. This position may involve telecommuting and requires 10% travel nationally to meet with clients. If you are interested in this opportunity, please reach out to Piyush Khemka, VP, Business Operations, at 111 Town Square Pl., Suite 1203, Jersey City, NJ 07310.,