Join us to Shape the Future of Cloud Governance

AI/ML Engineer

CoreStack, an AI-powered multi-cloud governance solution, empowers enterprises to rapidly achieve Continuous and Autonomous Cloud Governance at Scale. CoreStack enables enterprises to realize outcomes such as 40% decrease in cloud costs and 50% increase in operational efficiencies by governing operations, security, cost, access, and resources. CoreStack also assures 100% compliance with standards such as ISO, FedRAMP, NIST, HIPAA, PCI-DSS, AWS CIS & Well Architected Framework (WAF). We work with many large global customers across multiple industries including Financial Services, Healthcare, Retail, Education, Telecommunications, Technology and Government.

  • Please apply only if you have hands-on expertise designing and installing simple to advanced Time Series Forecasting Models in the Python language. We're looking for AI/ML Engineers to assist us in developing cutting-edge machine learning solutions that use several cloud services (AWS, Azure, GCP etc.).
  • Understanding the business problem and experimenting with multiple modelling architectures to produce the best feasible configuration from model performance as well as computing performance are among the tasks of AI/ML Engineers.
  • You'll require great Machine Learning and Programming skills to accomplish this job well. Your objective will be to identify the most data-driven solution to the challenge at hand.
Job Description
  • Understanding business objectives and formulate the problem as a Machine Learning problem
  • Expert level proficiency in Multivariate Time Series Forecasting or Causal Forecasting
  • Develop and maintain robust data processing pipelines and reproducible modelling pipelines
  • Explore data and communicate insights clearly to non-technical as well as technical audience
  • Analyse experimental results, iterate and refine models to create significant business impact
  • In-depth understanding of classical statistical forecasting algorithms like ARIMA, ETS, etc. as well as new age algorithms like Prophet.
  • Proven experience is handling Time Series Forecasting using standard Regression algorithms like Linear Regression, Gradient Boosted Decision Trees, Random forest, etc.
  • Good practical knowledge with Sequence Models in Deep Learning, like LSTMs, Transformers, etc. especially in the context of Time Series Forecasting.
  • Proficiency with at least one Deep Learning Framework such as PyTorch, TensorFlow, etc.
  • Degree in a Quantitative discipline, preferably Computer Science with 5+ Years of IT Experience
  • Minimum 2 Years of Experience in AI/ML.
  • Expert ability to write robust code in Python.
  • Expert skill at manipulating data frames using Pandas and arrays using NumPy – Familiarity with standard machine learning libraries (like scikit-learn, StatsModels etc.)
  • Deep Learning Frameworks like TensorFlow, PyTorch etc.
  • Completed Projects on Time Series Forecasting, beyond statistical algorithms like ARIMA.
  • Excellent verbal and written communication skills.
  • You take complete ownership of your work and are self-driven.
  • Good Working knowledge in at least one of AWS/Azure/GCP, Preferably AWS or Azure.
Good to Have
  • Experience with NoSQL databases, such as MongoDB etc.
  • Experience with containerizing applications using docker.
  • Chennai, TN – India

The Perks & Benefits

Competitive Salary

Competitive benefits with appreciable equity

Health insurance and other company benefits

Exciting, fast-paced and entrepreneurial culture

What's the CoreStack Story?

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