Senior AI/ML Engineer

1 day ago

Ambattur, Tamil Nadu, India Beatly Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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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