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
Make your application after reading the following skill and qualification requirements for this position.
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
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