Machine Learning Engineer

Job Requirements:
 Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
 Experience of 2+ years working with and creating data architectures.
 Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
 Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
 Excellent written and verbal communication skills for coordinating across teams.
 A drive to learn and master new technologies and techniques.
 Were looking for someone who have ability of manipulating data sets and building statistical models, has a relevant degree or post graduation in , Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
 Coding knowledge and experience with several languages: C, C++, Java,
 JavaScript, etc.
 Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
 Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
 Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
 Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
 Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
 Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
 Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

Job Responsibilities
 Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
 Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
 Assess the effectiveness and accuracy of new data sources and data gathering techniques
 Develop custom data models and algorithms to apply to data sets.
 Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
 Develop company A/B testing framework and test model quality.
 Coordinate with different functional teams to implement models and monitor outcomes.
 Develop processes and tools to monitor and analyze model performance and data accuracy

Job Type: Full-time


Benefits:
 Provident Fund

Schedule:
 Monday to Friday

Ability to commute/relocate:
 Navrangpura H.O, Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Required)

Experience:
 total work: 2 years (Required)

Work Location: In person,