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Urgent! Senior AI/ML Engineer Job Opening In Chennai – Now Hiring Beatly.AI

Senior AI/ML Engineer



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.


Required Skill Profession

Computer Occupations



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