ML Engineer

Location: Frisco, TX

Duration: 12 months

End Client is Tmobile

Minimum Required

• 3 plus years of experience in statistical modeling, data mining, analytics techniques, machine learning software development and reporting
• 3 plus years of applied 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.
• 3 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.
• 2 plus years of 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 on-prem
• environments.
• Certifications AI / ML and Azure Cloud platforms