
Innovative Cloud Solutions Lead
6 days ago
About Us
We are a global leader in Application Quality of Experience (QoE). Our company helps network service providers deliver highest quality experience to consumers and enterprises.
Our team develops best-in-class solutions that analyze, optimize and monetize OTT application traffic going through the networks. With contextual machine learning-based insights and real-time actions, we have become a global leader in Application Quality of Experience (QoE).
As part of our innovative and exciting team, you will drive innovation in app-driven cloud and hybrid solutions designed to accelerate time-to-value across network planning, engineering and operations.
Key Responsibilities:
- Independently lead data science projects and deliver innovative technical solutions to solve problems and improve business outcomes.
- Lead the design and development of machine learning/statistical models and ensure best performance.
- Work closely with engineers to deploy models in production both in real time and in batch process and systematically track model performance.
- Be a subject matter expert on machine learning and predictive modeling.
Requirements:
- BE or ME (or equivalent degree) degree in Engineering or Computer Science.
- ~5 to 9 years of experience in Software development.
- ~ Support-level knowledge of HP Quality Center ALM, UFT, and associated Add-Ins.
- ~ Knowledge of Windows, Linux, Networking, Load Balancing, Firewalls and Virtual Machines.
- ~ Experience with Python, Scala, R, C++ or Java.
- ~ Experience with Hadoop, Hive, Spark.
- ~ Experience in machine learning and statistical modeling.
- ~ Experience in practicing machine learning and data science in business.
- ~ Experience in leading data science projects and delivering from end to end.
- ~ Experience in data management and data analysis in relational database and in Hadoop.
- ~ Experience with Mutiple AI/ML Algorithms.
- ~ Experience with Kafka.
- ~ Strong experience in SQL and database management.
Benefits:
- Flexible working hours.
- Hybrid work environment.
- Fast-paced office environment.
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