Algorithm and Software engineers

Job Title:

Location:

Job Type:

About the Role

Algorithm Engineer

This role involves close collaboration with cross-functional global teams throughout the product lifecycle, with occasional travel (up to 20%) for customer support, training, or project collaboration.

Key Responsibilities

• Design, implement, and optimize

  machine learning

  ,

  deep learning

  , and

  image processing

  algorithms.
• Evaluate and enhance

  training datasets

  ,

  model performance

  , and

  workflow processes

  .
• Compare and assess various ML/DL models for accuracy and efficiency.
• Develop and implement algorithms to improve

  signal-to-noise ratio

  and extract information from noisy image data.
• Collaborate with product and domain engineering teams to define and achieve performance specifications.
• Provide technical support during product demonstrations, customer trials, and beta implementations.
• Work with global engineering teams on model deployment and continuous improvement initiatives.

Required Qualifications

• PhD

  in Computer Science, Electrical Engineering, Applied Mathematics, or a related field with

  0–3 years

  of experience (PhD from a Tier-1 university preferred),

  or M.Tech

  with

  3+ years

  of experience,

  or

  B.Tech

  with

  5+ years

  of experience.
• Minimum

  3 years

  of experience in

  algorithm development

  ,

  computer vision

  , and

  image processing

  .
• Strong programming skills in

  C/C++

  ,

  Python

  , and

  Linux shell scripting

  .
• Solid understanding of

  object-oriented programming

  and

  source code control tools

  (e.g., Git).
• Proven experience in

  product-based companies

  with consistent work tenure (at least 2 years per organization).
• Excellent mathematical, analytical, and communication skills.

Preferred Qualifications

• Prior experience developing

  AI/ML algorithms

  for imaging or inspection systems.
• Familiarity with

  deep learning frameworks

  (TensorFlow, PyTorch, etc.).
• Exposure to

  signal processing

  ,

  pattern recognition

  , or

  image segmentation

  .
• Strong understanding of model optimization and computational performance tuning.

Additional Details

• Work Model:

  Hybrid (3 days in office)

• Relocation:

  Supported (for qualified candidates within or outside India)

• Interview Process:

  3 Technical Rounds + Fitment + HR Round

• Travel:

  Up to 20% (domestic or international)