Machine Learning Engineer

2 weeks ago

Gurugram, India Avrio Full time

Overview


Avrio is an international climate tech startup leveraging advancements in AI to decarbonize the real estate industry which is responsible for around 39% of global carbon emissions. As a Machine Learning Engineer at Avrio, you will play a crucial role in developing AI-powered solutions that enhance our product offerings and improve our clients' business outcomes. You will work closely with data scientists and cross-functional teams to build and deploy scalable machine learning models that are critical to our products' success.


Responsibilities


  • Analyze energy, operations, and equipment maintenance data collected from customer sites to generate actionable insights.
  • Develop and deploy machine learning models for anomaly detection, alert categorization, and forecasting, aiming to optimize energy usage and operational performance.
  • Design and implement systems to automate the extraction of data from unstructured documents such as PDFs and images, enabling seamless integration with our platform.
  • Collaborate with cross-functional teams including data scientists, software engineers, and domain experts to refine algorithms and improve model performance.
  • Stay abreast of emerging technologies and industry trends in data science and machine learning, contributing innovative ideas to enhance our product offerings.
  • Ensure the scalability, reliability, and security of machine learning pipelines and data processing infrastructure.
  • Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and professional development.


Qualifications


  • Bachelor's degree or higher in Computer Science, Engineering, Statistics, Mathematics, or a related field.
  • Proven experience in data science, machine learning, and statistical analysis, preferably in a commercial or industrial setting.
  • Proficiency in programming languages such as Python, R, or Scala, and experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Solid understanding of data preprocessing, feature engineering, model evaluation, and deployment best practices.
  • Proven experience as a Machine Learning Engineer with a specific focus on applications involving power electronics, signal processing and/or high-resolution time series data is a plus.
  • Familiarity with natural language processing (NLP) techniques and libraries for text and image data processing is a plus.
  • Strong problem-solving skills and ability to thrive in a dynamic, fast-paced environment.
  • Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders.


Culture Fit


  • Autonomy: We think your time is sacred, whether it's at work, or outside of work.
  • Ownership: We're a company with a high ownership, high autonomy culture. We hope that you'll come in, help us, and over the course of many years do the best work of your life. When we bring you onboard, we expect you to change the company.
  • New hard problems: We are at the frontier in our industry building cutting-edge solutions. You will constantly have new interesting and hard problems to solve.
  • Growth: We are committed to your professional development. The dynamic nature of our work provides abundant opportunities for personal and career growth.

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