As a Senior AI/ML Engineer at Beatly.AI, you will play a crucial role in designing and deploying advanced machine learning models for pattern recognition and time-series or image-based applications. You will collaborate with cross-functional teams to develop 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 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:
- Bachelor's or Master's 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.
Contact Number:
Jananisha HR - hidden_mobile
Benefits:
- Health insurance
- Paid sick time
(Job Types: Full-time, Permanent),