Machine Learning Engineer
DeCentralCode is seeking an experienced Machine Learning Engineer to join their team in Salem, India, focusing on AI-powered solutions. The role involves designing, developing, and deploying scalable deep learning and computer vision models for diverse domains like healthcare and supply chain. Candidates must have strong proficiency in Python, PyTorch, TensorFlow, and CNN architectures. The position requires end-to-end model lifecycle management from preprocessing to production-ready deployment.
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Experience
5+ years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
DeCentralCode is seeking an experienced Machine Learning Engineer to join their team in Salem, India, focusing on AI-powered solutions. The role involves designing, developing, and deploying scalable deep learning and computer vision models for diverse domains like healthcare and supply chain. Candidates must have strong proficiency in Python, PyTorch, TensorFlow, and CNN architectures. The position requires end-to-end model lifecycle management from preprocessing to production-ready deployment.
TAL's take
Solid role with clear technical requirements at an early-stage firm, but company visibility is limited.
Very well-defined responsibilities and technical stack expectations.
Must haves
- 5+ years hands-on experience in Machine Learning, Deep Learning, and Computer Vision.
- Strong proficiency in Python, PyTorch, and TensorFlow.
- Experience with CNN architectures including ResNet, EfficientNet, or YOLO.
- Expertise in data preprocessing, feature engineering, and model validation.
- Experience in statistical analysis and ML evaluation methodologies.
- Strong programming skills in Python libraries like NumPy, pandas, and scikit-learn.
- Knowledge of model deployment, optimization, and inference pipelines.
Tools and skills
Nice to have: onnx, tensorrt, coreml, aws, azure, gcp.
About the company
Unfamiliar technology company, default mid-tier assigned.