Job Description

Job Summary








Experience:
8 - 14 Years




Location:
Bangalore




Designation:
Specialist ML Predictive Intelligence Bangalore




Degree:
BE-Comp/IT, BE-Other, BTech-Comp/IT, BTech-Other, MCA




Educational Level:
Graduate/Bachelors




Industrial Type:
IT-Software/Software Services




Functional Area:
IT Software - Other




Key Skills:
infrastructure,Cloud,AI,ML




Job Post Date:
Monday, August 29, 2022










Company Description









Our Client is a leading FTSE Company with a profitable turnover of more than 20 billion pounds. They are the world`s most established communications company, employing around 100,000 people in 170 countries around the world.

Their principal activities include:

• Networked IT services globally
• Local, national and international telecommunications services
• Broadband and internet products and services
• Converged fixed/mobile products and services

They are known globally as a major technology player - pioneering the digital advances that are shaping and driving the information age,helping people create, collaborate and communicate better than ever before.

Specialties: Telephony, Networking, Cloud Services, Unified Communications




















Applies specialist expertise to deliver technical work that is typically unique, complex, and high impact across multiple domains and/or requiring both breadth and depth of domain knowledge.
Excellent knowledge of the various components of the IT infrastructure, including server infrastructure, the interwar period, database and application architectures, and cloud components.
Expertise in Data collection and aggregation techniques from variety of applications on the IT stack. The role needs to implement data collection and aggregation from multiple applications on the stack, and regulate the application and system logging.
Expertise in implementing AI and ML methodologies on the aggregated data using tools (like Dynatrace) or any other available standard methods.
Understand and build Google or other Cloud AWS infrastructure including API Gateways, Cognito and WAF using code references, using Serverless framework, Cloud formation.
Identify and prioritize key areas of the operations where AI solutions can drive significant business benefit and drive MLOps culture.
Expert in machine learning to help us extract value from our production data. You will be responsible for processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.
Expertise in any core programming languages like java, go, python and ops tools like Jprofiler, Eclipse MAT, dynatrace, new relic, elk etc.
Cloud certified (AWS/GCP/CKAD) or currently in the process of getting certified is preferred.
Lead technical discussions and sharing within own team and across teams.
Work independently, with limited day-to-day guidance from leadership.
Demonstrates thought leadership, technical expertise and a strong customer focus.
Change Agent: Supports Change programmes and acts as a positive role-model during times of ambiguity, ensuring effective outcomes.