Algorithm Engineer

14 hours ago

Chennai, Tamil Nadu, India Umanist NA Full time ₹ 1,80,000 - ₹ 10,00,000 per year

Algorithm Engineer, 841
Location:
Chennai (Hybrid)

Experience:
8–13 Years

Role Type:
Deep Learning / Computer Vision / Algorithm Development

We are seeking a highly experienced
Algorithm Engineer
with strong expertise in
deep learning, computer vision, and PyTorch-based model development
. The ideal candidate will have a research-driven mindset, hands-on implementation skills, and the ability to lead technical discussions in fast-paced engineering environments.


Key Responsibilities
Deep Learning Architecture Design

  • Design, optimize, and evaluate advanced neural architectures such as U-Nets, YOLO variants, and other CV models.
  • Explore innovative modeling techniques and conduct comparative experiments across diverse problem statements.

Data Purification & Optimization

  • Lead end-to-end data preparation including filtering, curation, augmentation, and dataset optimization.
  • Apply transfer learning, domain adaptation, and data balancing strategies to improve model robustness.

Model Evaluation & Metrics

  • Define success metrics for CV/ML tasks and evaluate models comprehensively.
  • Perform error analysis, identify failure patterns, and propose algorithmic enhancements.

Technical Reporting & Communication

  • Present experimental results through clear visualizations and structured documentation.
  • Drive technical discussions and communicate complex ideas effectively within cross-functional teams.

Algorithm Deployment Collaboration

  • Work with engineering teams to align algorithmic design with real-world deployment constraints.
  • Contribute to integration strategies for cross-platform environments.

Required Qualifications

  • PhD with 5+ years of experience OR MS/MTech with 8+ years in algorithm development.
  • Minimum 5 years of hands-on experience in deep learning and computer vision.
  • Strong proficiency in PyTorch, training pipelines, and ML experimentation workflows.
  • Excellent communication skills with the ability to lead and contribute to technical discussions.

Preferred Skills

  • Experience with experiment tracking tools (e.g., TensorBoard, Weights & Biases).
  • Understanding of cross-platform development, deployment challenges, and system integration.
  • Prior experience in product companies, semiconductor, hardware, or engineering-focused organizations.


Interview Process

  • 3 Technical Rounds
  • 1 HR Round
  • Hybrid work model

Skills: deep learning,computer vision,algorithm development,deployment strategies

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