Analyst - Algorithm Research & Development

5 days ago

Chennai, India MM Management Consultant Full time

Description : Job Description : Job Title : Analyst, Algorithm Research & Development (Optical modelling).Job location : ChennaiExperience : Minimum 3 yearsEmployment Type : Full timeKey Responsibilities : - Develop algo focusing on optical modeling and computational geometry-based image processing algos and models.- Stay updated with emerging technologies and industry best practices.- Bring new ideas to the team by exploring modern frameworks or tools that could enhance the platforms capabilities.- Understanding on Graph algorithms, spatial data structures, and numerical optimization with efficient handling of geometric queries and transformationsRequired Qualifications : - Education : Masters degree in Computer Science or a related field, or Bachelors degree in Computer Science (or related) with at least 3 years of hands-on image processing algos.- Experience : Minimum 3+ years of professional algo development experience focusing on Graph algorithms, spatial data structures, and numerical optimization with efficient handling of geometric queries and transformations.- Proven track record of delivering software projects from design to deployment.- Programming Skills : Deep understanding of operating systems, computer networks, and high performance applications.- Good mental model of the architecture of a modern distributed systems that is comprised of CPUs, GPUs, and accelerators.- Proficiency in Python (especially with libraries like trimesh, numpy, scipy, pandas).- Experience with C++ or Rust is a plus for performance-critical geometry tasks.- Strong background in modern and advanced C++ concepts.- Strong Scripting Skills in Bash, Python, or similar.- Good communication with the ability to write clean, efficient, and well- documented code.Preferred Qualification : - HPC/Simulation Background : Experience working on projects involving scientific computing, simulations, or HPC applications.- Familiarity with parallel computing concepts or engineering simulations (CFD, FEA, etc.) can help in understanding the platforms context- DevOps & CI/CD : Hands-on experience with DevOps tools and workflows.- Knowledge of setting up CI/CD pipelines using platforms like Azure DevOps, Jenkins, or GitHub Actions to automate build and deployment processes (ref:hirist.tech)

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