Algorithm Engineer

Job Title:

Location:

Experience:

Salary Range:

Role Summary

Key Responsibilities

• Design and implement algorithms for deep learning (DL), machine learning (ML), and image processing.
• Improve signal-to-noise ratio in various imaging conditions by developing advanced analytical solutions.
• Evaluate and optimize training data sets and machine learning model performance.
• Compare, assess, and fine-tune DL/ML models for real-world application scenarios.
• Collaborate with global product teams across the entire product development lifecycle.
• Participate in defining algorithmic performance specifications and ensure successful delivery.
• Provide technical support for demos and beta testing phases.
• Interact with cross-functional teams including domain experts during customer engagements.
• Domestic/international travel may be required (up to 20%).
  

Must-Have Qualifications

• Educational Requirements:
• Ph.D. with 0+ years of experience (preferred from Tier 1 institutions), or
• M.Tech with 3+ years of experience, or
• B.Tech with 5+ years of experience.
• Technical Skills & Domain Expertise:
• Minimum 5 years in algorithm development.
• At least 3 years in computer vision and image processing.
• Minimum 5 years of programming experience in C++ and/or Python.
• Solid understanding of mathematical modeling, data analysis, and statistical learning.
• Experience in Linux shell scripting and object-oriented programming.
• Familiarity with source code control tools (e.g., Git).
• Other Requirements:
• Must have experience in a product-based company (past or present).
• No frequent job changes (minimum 2 years tenure per company).
• No unexplained employment gaps.
  

Preferred Qualifications

• Exposure to advanced machine learning workflows in production environments.
• Experience with model optimization and performance benchmarking.
• Hands-on experience with noisy image analysis or high-resolution imaging.
• Strong communication and documentation skills.
  

Target Background

• Candidates from product companies only.
• Professionals with a strong record in R&D, imaging systems, or AI-based industrial applications.
  

Work Environment & Additional Information

• Work Mode: Hybrid (3 days work from office).
• Relocation Support: Provided for domestic and international candidates.
• Interview Process:
• Three technical rounds
• Fitment round
• HR discussion