Posted:3 weeks ago|
Platform:
On-site
Full Time
About Beatly.AI Beatly.AI is a fast-scaling AI startup transforming healthcare through neural network-powered innovation. Our mission is to build clinically meaningful, data-driven solutions that empower medical professionals and enhance patient outcomes. We are seeking an Senior AI/ML Team Engineer to drive both hands-on model development and technical leadership across our deep learning initiatives. About the Role As an Senior AI/ML Team Engineer , you will play a dual role: writing production-grade code, developing and deploying neural network models, while also leading a team of engineers through key initiatives. You’ll be responsible for full-lifecycle development of AI systems—from research and experimentation to scalable cloud deployment—and for shaping our infrastructure and team practices. Key Responsibilities Design and build advanced neural network models (CNNs, LSTMs, GRUs, autoencoders, time-series networks) for real-world healthcare applications. Lead the development of modular, reusable ML pipelines for training, validation, and inference. Actively contribute code and own model architecture, optimization, and deployment workflows. Architect cloud-ready, scalable ML systems using AWS/GCP/Azure, with containers (Docker) and orchestration (Kubernetes). Implement robust ML Ops processes including CI/CD pipelines, model versioning, monitoring, and rollback mechanisms. Collaborate with data, product, and engineering teams to define AI use cases and deliver end-to-end solutions. Guide and mentor a team of engineers—conduct code reviews, help troubleshoot, and support their development. Optimize compute resource usage (e.g., GPU scheduling, mixed precision, parallelism) for large-scale training jobs. Track and improve performance metrics (accuracy, latency, reliability), ensuring production-readiness of deployed models. Evaluate new techniques in neural networks (excluding LLMs) and assess their relevance for healthcare use cases. Skills & Qualifications 4+ years of experience in AI/ML engineering with a strong track record of shipping deep learning solutions. 1+ years of experience in leading or mentoring technical teams, while continuing to build and ship code. Strong proficiency in Python , with hands-on expertise in PyTorch , TensorFlow , or Keras . Deep understanding of neural network architectures for time-series, image, or signal-based tasks. Solid experience deploying models on cloud platforms (AWS/GCP/Azure), using tools like Docker, Kubernetes, and Terraform. Experience with ML pipeline tools (MLFlow, Airflow, DVC, Weights & Biases) and experiment tracking. Proficient in software engineering fundamentals, microservices, API integration, and scalable system design. Excellent written and verbal communication skills with a leadership mindset. Preferred Qualifications Experience with healthcare data: ECG, imaging, vitals, or clinical time-series. Familiarity with HIPAA, FDA, or healthcare compliance workflows. Background in distributed model training and GPU optimisation (e.g., Horovod, TorchElastic). Master’s or PhD in Computer Science, or related discipline. What We Offer Strategic leadership role with deep technical involvement. A mission-driven environment solving problems that matter. Real ownership over architecture, code, and team development. Excellent compensation with top-tier salary . Dynamic, collaborative team culture with space to innovate and grow. Apply Now If you're an experienced deep learning engineer ready to lead and build, and passionate about using neural networks to change the future of healthcare—we want to meet you. Show more Show less
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