Advanced AI Engineer

6 days ago

Bengaluru, Karnataka, India beBeeArtificialIntelligence Full time ₹ 1,95,84,000 - ₹ 2,61,12,000

At leading technology organizations, driving digital transformation and business performance with cutting-edge solutions is a top priority.

A highly experienced and passionate Senior AI/ML Engineer will play a key role in achieving this goal. This senior contributor will be responsible for the end-to-end design, development, and deployment of AI/ML solutions that drive business value and innovation at scale.

The ideal candidate will have overall experience and 5-7 years of relevant expertise in AI/ML solutioning. Key responsibilities include:

  • 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 cloud platforms 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.

Required qualifications include:

  • 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.

Preferred skills include:

  • Web Frameworks: Experience with Flask/Django for AI-driven applications.
  • Computer Vision: Hands-on with OpenCV, real-time image processing, and object tracking.
  • NLP: Experience in NER, text classification, sentiment analysis, transformers, and BERT models.
  • Cloud & MLOps: Deployment on cloud platforms with Docker, Kubernetes, MLflow, or SageMaker.
  • Big Data & Pipelines: Exposure to Spark, Hadoop, or Airflow for large-scale data pipelines.

Soft skills include:

  • Excellent analytical and problem-solving abilities.
  • Strong communication skills to convey complex technical concepts simply.
  • Proven leadership and mentoring capabilities.
  • Strong sense of ownership, accountability, and detail orientation.

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