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Machine Learning Data Engineer at blueoptima | Bangalore

BlueOptimaBangalore
On-site Full-time

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Experience Level

Experience

Qualifications

To Succeed at blueoptima, You Should Have:A minimum of a Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.4+ years of experience with Python and SQL.4+ years of experience in data-driven analytics.3+ years of hands-on experience with machine learning algorithms in professional settings, utilizing frameworks such as TensorFlow, Keras, or PyTorch.2+ years of experience in managing co-located teams and overseeing project management. Strong communication skills for conveying complex concepts to client-facing teams and non-experts. Proficiency in providing task time estimates and assessing uncertainties. A problem-solving mindset with analytical approaches to challenges. Preferred Qualifications:2+ years of experience in developing computer vision solutions utilizing machine learning.2+ years of experience handling Geographical Information Systems (GIS) data, including tools like PostGIS, QGIS, ArcGIS, or GeoPandas.

About the job

Join blueoptima as a Machine Learning Data Engineer, where your expertise will drive the creation and management of vital data pipelines to interpret our distinctive GIS datasets. You will develop analyses that range from foundational statistics to advanced machine learning solutions.

Our innovative technology demands skilled engineers who are enthusiastic about problem-solving and ownership of the solutions they implement. This is an exciting opportunity to be part of a rapidly expanding company in its early stages, allowing you to craft your own success story.

Your Team
Our Data Engineering team accelerates value creation for stakeholders by delivering production-ready solutions and actionable insights. We enhance every aspect of blueoptima’s data, driving success through data-driven innovation.

You will collaborate closely with a diverse team of experts in Data Analytics, Machine Learning, Computer Vision, Artificial Intelligence, and Geospatial Analytics. The engineering team is primarily located in our Gurgaon office.

Key Responsibilities

  • Utilizing your statistics and ML expertise to address real-world challenges with our collision risk analytics platform.
  • Spotting new opportunities to automate processes and derive insights from diverse data sources.
  • Keeping abreast of cutting-edge numerical and computer vision methodologies in the ML field.
  • Implementing models on AWS infrastructure.
  • Taking ownership of projects from prototype to automation, deployment, and maintenance.
  • Establishing monitoring and data quality automation for production solutions.
  • Mentoring team members in best practices for solution ownership and development.
  • Effectively communicating complex ideas to client-facing teams and non-technical stakeholders.
  • Designing and maintaining optimized, robust, and scalable systems.
  • Identifying project requirements and critical paths to resolve challenges, along with providing clear timeline estimates.
  • Employing data-driven strategies to validate assumptions and track progress on implemented changes.

About BlueOptima

blueoptima, headquartered in Bangalore, India, is a dynamic company focused on developing an industry-leading road infrastructure data analytics platform. Our mission is to address complex challenges within the automotive sector, particularly relating to collision risk analytics. Our solutions have the potential to significantly impact road infrastructure safety and risk pricing. By leveraging Machine Learning and Big Data technologies, we provide unparalleled benchmarks and real-time risk assessments for transportation assets. Our technology is utilized by Road and Traffic Authorities, Automotive OEMs, and Insurers, offering unmatched analytics through our cloud-native platform.

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