Senior AI/ML Specialist

2 days ago


Bengaluru, Karnataka, India beBeeData Full time ₹ 20,00,000 - ₹ 25,00,000

About the Role

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  • We are seeking an experienced and passionate AI/ML Professional to join our team. This is a senior role ideal for a technologist who thrives on solving complex problems through machine learning, deep learning, and data-driven innovation.
  • As a senior contributor, you will lead the end-to-end design, development, and deployment of AI/ML solutions, providing technical leadership and mentorship to junior engineers.
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  • Ai Solution Delivery: Design, develop, and deploy scalable Ai/ml models across multiple domains.
  • Model Development & Optimization: Build, fine-tune, and optimize Ml/dl models for performance and efficiency.
  • Leadership & Mentoring: Guide junior engineers, influence architectural decisions, and foster knowledge sharing.
  • Data Engineering: Oversee preprocessing, transformation, and feature engineering for large and complex datasets.
  • Cross-Functional Collaboration: Partner with Product, Data, and Engineering teams to align Ai projects to business needs.
  • Deployment & Monitoring: Deploy models in production using Aws/Gcp/Azure with Mlops best practices.
  • Research & Innovation: Stay current with Ai/ml advancements and integrate emerging tools and frameworks.
  • Code Quality & Documentation: Ensure clean, efficient, and version-controlled code with strong documentation.
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  • Experience: 5–7 years overall in software/AI development, with 5–6 years hands-on Ai/ml expertise.
  • Education: Bachelor's/Master's in Computer Science, Data Science, Ai/ml, or related fields.
  • Programming Proficiency: Expert-level Python (NumPy, Pandas, Scikit-learn, Matplotlib, etc.).
  • Machine Learning & Ai: Strong knowledge of regression, classification, clustering, recommendation systems, cross-validation, and feature selection.
  • Deep Learning & Neural Networks: Expertise in Cnns, RnnS, Lstm, Resnet, Vgg, etc. Experience in computer vision tasks (image classification, detection, segmentation).
  • Version Control: Proficient with Git and collaborative development tools.
  • Software Engineering: Solid background in algorithms, data structures, Api development, and modular code.
">Benefits">
  • Opportunity to work on complex Ai/ml projects.
  • Collaborative environment with experienced professionals.
  • Professional growth and development opportunities.
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