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SolarWinds
Bangalore
Enterprise Software & Network Solutions
Overview:
At SolarWinds, we’re a people-first company. Our purpose is to enrich the lives of the people we serve—including our employees, customers, shareholders, Partners, and communities. Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions.
The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic. We’re looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others. We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose. If you’re looking to build your career with an exceptional team, you’ve come to the right place. Join SolarWinds and grow with us!
Your Role:
Are you someone who wants to build intelligent, data-driven, machine learning applications in your career? As an Intern- ML engineer, you’ll have a significant impact on the growth of our business through execution to impact customers on a global scale. We look for candidates who are competent and committed to the SolarWinds mission and display exemplary attitude.
BigDataKB.com Jyotish - Career & Life Prediction
Responsibilities:
Your Impact:
Build distributed, real-time, high-volume data & ML pipelines and work together with others to enable high-scale ML applications
Work with ML frameworks, Feature Stores, Data pipelines
Join a high-performance team solving hard problems the right way focused on customer value
Qualifications:
Your Experience:
Ability to execute on plan and act with urgency
Agile with a collaborative, curious, and inventive mindset
Demonstrates high emotional intelligence, sound judgment, and makes thoughtful recommendations
Understands customer focus and solutions.
Driven to help others.
Excellent verbal and written communication skills
Solid foundations in data science & machine learning in multiple domains), both statistical and deep learning (with Time series analysis & NLP).
