ML Engineer
SixSense
Date: 5 days ago
City: Bengaluru, Karnataka
Contract type: Full time
We're looking for a Machine Learning Engineer with a strong background in Computer Vision and MLOps to join our growing team. In this role, you'll be instrumental in building and optimising robust AI models, shaping the infrastructure that supports them, and ensuring top-tier performance across real-world deployments.
Responsibilities
Responsibilities
- Develop and deploy machine learning models tailored to computer vision tasks (classification, detection, segmentation, autoencoders).
- Optimize training and inference pipelines for speed, accuracy, and scalability.
- Support the integration of cutting-edge vision models into our no-code platform.
- Design high-performance data science architecture with a focus on cost, UX, and resource efficiency.
- Manage and optimize infrastructure across cloud (AWS, GCP) and on-premise environments.
- Collaborate with software teams to implement APIs, intelligent AI tools (e. g., Explainable AI, data preparation modules), and ensure seamless system integration.
- Engage with enterprise clients to understand their use cases and drive successful AI deployments.
- Stay ahead of the curve by tracking the latest research in deep learning and computer vision.
- Hands-on experience deploying scalable ML models in production environments.
- Deep expertise in Python and/or C++, with proficiency in frameworks like PyTorch, TensorFlow, Keras, and OpenCV.
- Strong grasp of MLOps practices, including CI/CD, Docker, and Kubernetes.
- Knowledge of model optimization techniques (e. g., Nvidia FP16 uint8), parallel processing, and GPU-based training.
- Experience with SQL and familiarity with vector databases are a plus.
- Comfortable working across diverse infrastructure settings (cloud/on-premise) and collaborating in cross-functional teams.
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