The Senior Machine Learning Engineer supports Machine Learning projects from strategy through implementation and on-going improvements.
Key Responsibilities:
• Perform data collection, analysis, validation, cleansing, developing software in support of multiple
machine learning workflows, integrating / deployment of code in a large-scale production
environments and reporting.
• Extracts and analyzes data from various structured and unstructured sources, including databases,
files, data lakes and external APIs/websites.
• Responds to data inquiries from various groups within client’s organization.
• Requires experience with relational databases, document databases (NOSQL) and knowledge of
query tools and/or statistical software.
• Responsible for other duties/projects as assigned by business management / leadership.
Required Skills:
• 7 plus years of experience in statistical modeling, data mining, analytics techniques, machine
learning software development and reporting
• 5 plus years of applied experience in building / 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.
• 5 plus years of hands-on experience with Python and/or R programming and statistical
packages, and ML libraries such as scikit-learn, TensorFlow, PyTorch, etc.
• 3 plus years of experience in building use cases / solutions especially around AI/
based on Cloud infrastructure and services such as Azure,GCP,AWS cloud platforms and Onpremise
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 using databricks
• Expertise with visualization tools such as PowerBI, D3JS etc.
Job Location:
Frisco, Bellevue, Atlanta
#J-18808-Ljbffr