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Senior AI / ML Engineer

Senior AI / ML Engineer

Beatly.AItamil nadu, tamil nadu, in
1 day 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 • tamil nadu, tamil nadu, in

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