AI/ML Engineers

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 - 8838621229 Benefits: - Health insurance - Paid sick time (Job Types: Full-time, Permanent),