SolarWinds
Bangalore
Enterprise Software & Network Solutions
Overview:
Your Role:
Your Impact:
Your Experience:
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:
We are seeking a Machine Learning and Data Science Scientist for the Full Stack Observability, Data Science & AI team. This team will be responsible for reinventing observability in enterprises, reimagining, conceiving, and building solutions that apply intelligence to how our customers observe, act & automate all aspects of work. We work with Data Scientists and Engineers to bring to life ML-driven products, develop and deliver a range of solutions that work seamlessly with the rich product offerings from SolarWinds across network, infrastructure, applications, data, ML, and business observability. We process several billions of data points a day, and design and build ML-powered applications that provide our customers meaningful insights from their data and make them actionable in real-time.
This will be ideal for you if you enjoy building intelligent, data-driven, machine learning applications, are adept at bold early-stage ideas that can be developed through execution to impact customers on a global scale and are also able to upskill ML engineering organization by example.
In this role, you will work with our senior Data Scientists and ML Engineers to design and develop ML models to scale these solutions across our global customer base.
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:
- Bachelor’s degree with 2 years of industry experience, or Master’s degree
- Solid foundations in data science & machine learning in multiple domains), both statistical and deep learning (with Time series analysis & NLP), with experience developing and running ML models at scale in production
- Familiarity with Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, Conditional Random Fields, Topic Modeling, Game Theory, Mechanism Design, etc.)
- Background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Hands-on experience with statistical packages, ML libraries (e.g. R, Python scikit learn, Spark MLlib, etc.), and ML frameworks such as TensorFlow and PyTorch
- Experience with public cloud (AWS, GCP, etc) ML offerings a plus
- Familiarity with ML model development frameworks, ML orchestration and pipelines with experience (e.g., Airflow, Kubeflow or MLFlow) a plus
- Excellent oral and written communication skills
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