Analyst - Algorithm Research & Development

23 hours ago

Chennai, Tamil Nadu, India MM Management Consultant Full time ₹ 1,20,000 - ₹ 3,00,000 per year

Description :

Job Description :

Job Title : Analyst, Algorithm Research & Development (Optical modelling).

Job location : Chennai

Experience : Minimum 3 years

Employment Type : Full time

Key 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 transformations

Required 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

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