Data Engineer

Job Description

3 plus years of experience in statistical modeling data mining analytics techniques machine learning software development and reporting

Experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression Support Vector Machines (Deep) Neural Networks Random Forest etc. and key parameters that affect their performance.

Handson experience with Python and/or R programming and statistical packages and ML libraries such as scikitlearn TensorFlow PyTorch etc.

Experience in building use cases / solutions especially around AI/ML cognitive services based on Cloud infrastructure and services such as Azure cloud platforms and On premise environments

Expertise with SQL noSQL Python R Javascript programming languages and big data environments (such as Splunk Hadoop Spark Flink Stream Analytics Kafka Docker Kubernetes etc.)

Experience developing experimental and analytic plans for data modeling processes using strong baselines and determining cause and effect relations.

Understanding of relevant statistical measures such as confidence intervals significance of error measurements development and evaluation data sets etc. in data analysis projects.

Expertise with scaling pilot machine learning solutions to a large scale production environment

Expertise with visualization tools such as PowerBI D3JS etc.

Excellent written and verbal communication skills.

Desired

Bachelor or Masters degree in highly quantitative field (computer science or electrical engineering mathematics statistics) or equivalent domain specific experience in lieu of a degree.

Proficient in machine learning data workflows data collection methodologies and data analysis.

Experience with architecting designing developing software solution in Azure and onprem

environments.

Certifications AI / ML and Azure Cloud platforms