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Urgent! Lead AI/ML Systems Engineer - Local Job Opening in Chennai

Lead AI/ML Systems 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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