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AI Developer (3–5 YOE) | Location Pune

AI Developer (3–5 YOE) | Location Pune

All Axis Consulting A PivotOne Pvt Ltd CompanyBengaluru, Karnataka, India
15 hours ago
Job description

About the Role

We’re looking for a mid-level AI Developer to build, train, and deploy ML / DL models—especially across Computer Vision and core Python stacks. You’ll own model lifecycle end-to-end : problem framing, data pipelines, training, optimization, and production deployment.

Key Responsibilities

  • Translate business problems into ML use cases; define success metrics and baselines.
  • Design and implement ML / DL pipelines (data prep, feature engineering, model training, evaluation, and monitoring).
  • Build Computer Vision solutions (classification, detection, segmentation, OCR, tracking, quality inspection).
  • Develop robust Python services, APIs, and inference microservices; integrate with existing systems.
  • Optimize models for speed, accuracy, and cost (quantization, pruning, batching, ONNX / TensorRT, GPU utilization).
  • Create and maintain MLOps workflows (versioning, CI / CD, experiment tracking, automated retraining).
  • Document experiments, communicate results, and present insights to technical & non-technical stakeholders.
  • Ensure data security, model governance, and compliance with internal standards.

Must-Have Skills

  • Python (NumPy, Pandas, PyTorch and / or TensorFlow / Keras).
  • Solid grasp of ML fundamentals (supervised / unsupervised learning, evaluation metrics, cross-validation, bias / variance).
  • Deep Learning for CV : CNNs, transfer learning, pre-trained backbones (ResNet / EfficientNet / ViT), augmentation.
  • Computer Vision toolchain : OpenCV, object detection (YOLO / Detectron / SSD), segmentation (U-Net / Mask R-CNN).
  • Experience packaging inference as REST / gRPC services (FastAPI / Flask) and deploying on Docker (basic Kubernetes a plus).
  • Hands-on with Git , experiment tracking (Weights & Biases / MLflow), and model / version management.
  • Good-to-Have

  • OCR (Tesseract, EasyOCR), document AI, key-value extraction.
  • Edge / embedded deployment (NVIDIA Jetson, TensorRT, OpenVINO).
  • MLOps : Airflow / Prefect, Kubeflow / SageMaker, feature stores, data versioning (DVC).
  • NLP basics (transformers) and vector databases.
  • Cloud exposure (AWS / GCP / Azure) — GPUs, storage, IAM basics.
  • Basic frontend / backoffice UI (Streamlit / Gradio) for demos.
  • Qualifications

  • Bachelor’s / Master’s in CS, ECE, Data / AI, or equivalent practical experience.
  • 3–5 years in applied ML / AI with at least 2+ successful production deployments.
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    Ai Developer • Bengaluru, Karnataka, India

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