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Senior AI / ML Engineer

Senior AI / ML Engineer

Beatly.AIAmbattur, India
9 days ago
Job description

About Us

Beatly.AI is a fast-growing artificial intelligence company focused on building intelligent, data-driven solutions that make a real-world impact. We develop cutting-edge technologies that enhance decision-making and efficiency across critical domains. If you're passionate about creating meaningful AI products and thrive in a collaborative, innovation-driven environment, we’d love to have you on our team.

About the Role

We are looking for a Senior AI / ML Engineer with strong hands-on experience in Convolutional Neural Networks (CNNs) and traditional deep learning techniques. The role involves designing, developing, and deploying machine learning models for pattern recognition and time-series or image-based applications.

You’ll work closely with data engineers, software developers, and domain experts to build reliable and scalable AI systems from research prototypes to production-ready solutions.

Key Responsibilities

  • Design and implement deep learning models (CNN, RNN, LSTM) for data classification, segmentation, or prediction tasks.
  • Develop robust data preprocessing and feature extraction pipelines for structured and unstructured datasets.
  • Optimize model architecture, training, and inference for performance and scalability.
  • Analyze and interpret model outputs, ensuring reliability and explainability.
  • Collaborate with cross-functional teams to integrate AI models into production environments.
  • Conduct model evaluation using statistical and domain-relevant performance metrics.
  • Mentor junior engineers and contribute to design discussions and technical reviews.

Required Skills & Experience

  • 4–10 years of experience in applied machine learning or deep learning development.
  • Proven expertise in CNN-based model design for image or signal data.
  • Proficiency in Python and major deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Strong understanding of signal processing, data normalization, and augmentation techniques.
  • Familiarity with model optimization, quantization, and deployment practices.
  • Experience with version control (Git) and ML Ops tools (Docker, Kubernetes, or cloud ML platforms).
  • Solid grounding in mathematics, statistics, and algorithm design.
  • Preferred Qualifications

  • Master’s or Ph.D. in Computer Science, Electrical Engineering, or related field.
  • Experience with time-series data analysis or real-time inference systems.
  • Background in end-to-end AI pipeline development — from data collection to deployment.
  • Exposure to regulatory or safety-critical environments is a plus.
  • What We Offer

  • Opportunity to build and deploy cutting-edge AI systems with real-world impact.
  • Collaborative and technically strong R&D environment.
  • Competitive compensation, flexibility, and professional development opportunities.
  • Access to diverse datasets and advanced computing infrastructure.
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    Senior Engineer • Ambattur, India

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