Jr Data Engineer - Python or R

• 2-5+ years of hands-on experience with Python and/or R programming and statistical packages, and ML libraries such as sci-kit-learn, 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 
• Experience with SQL, NoSQL, Python, R, Javascript programming languages, and big data environments (such as Splunk, Hadoop, Spark, Flink, Stream Analytics, Kafka, Docker, Kubernetes etc.) 
• Any Telecomm Experience a Big Plus 

Bonus Points: 
• Experience in statistical modeling, data mining, analytics techniques, machine learning software development and reporting 
• 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. 
• Expertise with scaling pilot machine learning solutions to a large-scale production environment 
• Expertise with visualization tools such as PowerBI, D3JS etc. 

Role Details:

As a Data Engineer, you will be working closely with the customer, delivering results and presenting risks. You will motivate and lead a team of multi-discipline professionals. Also, you will be expected to maintain high standards for network reliability and stability while developing new services or implementing changes. You will drive the need to design, test, and deploy quickly and efficiently.