Algorithm Engineer
14 hours ago
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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