Data Scientist Manager
Role details
Job location
Tech stack
Job description
We are seeking a highly motivated and innovative Deep Learning Manager to lead the development and optimization of our AI-powered ECG analysis platform. This role demands deep expertise in deep learning modeling, with a proven ability to design and implement custom models from scratch. You will play a crucial part in advancing the state-of-the-art in cardiac diagnostics by exploring and implementing cutting-edge Deep Learning techniques., * Lead and mentor a team of data scientists and engineers, providing technical guidance and fostering professional growth.
- Continuously research and integrate emerging Deep Learning techniques, including representation learning, self-supervised learning, generative models, and novel neural network architectures, to drive innovation.
- Analyze, enhance, and scale Deep Learning models for complex signal processing tasks, ensuring high accuracy, efficiency, and generalization.
- Oversee the implementation of data balancing, augmentation, and synthetic data generation techniques to improve model robustness.
- Drive model optimization efforts, leveraging techniques such as fine-tuning, distillation, quantization, and distributed training for improved performance.
- Spearhead automation initiatives for data preprocessing, model training, and deployment pipelines to accelerate development cycles and ensure efficiency.
- Collaborate closely with engineers, domain experts, and stakeholders to ensure technical solutions align with real-world applications and business goals.
- Advocate for best practices in AI model development, validation, and deployment, ensuring high-quality and scalable solutions.
- Stay abreast of the latest advancements in Deep Learning, signal processing, and AI to maintain a cutting-edge approach to research and development.
Requirements
- 4+ years of experience in developing, optimizing, and deploying Deep Learning models in production.
- 2+ year/s leading and mentoring teams, driving collaboration, and managing day-to-day team operations.
- Strong expertise in signal processing, data balancing, model debugging, and performance optimization.
- Experience in TensorFlow or PyTorch, Python, and ML libraries (NumPy, Scikit-learn, Pandas).
- Strong project management and communication skills, with the ability to align technical goals with business objectives.
Preferred Qualifications:
- Master's or PhD in a quantitative field with a focus on Deep Learning.
- Experience with distributed systems and cloud-based ML infrastructures (AWS, GCP, Azure).
- Knowledge of MLOps, model interpretability, fairness, and bias mitigation techniques.
- Experience in cross-functional collaboration with product managers and engineers.
- Contributions to Deep Learning research (publications, open-source projects).
- Experience with processing of ECG signals.
Benefits & conditions
? Be part of one of the most disruptive startups in HealthTech and AI and make a difference
? Personal and professional growth as part of a fast-growing, international team
?No corners cut in having the best tech equipment to do your job
? Unlimited remote working environment, where you can choose to work from home and attend our Madrid office whenever you want to
?Learning and development opportunities and training budget
? Flexible Remuneration
?? ️ Health Insurance provided by IDOVEN
? Access to Wellhub (Gympass), empowering your physical and mental wellness!
?️ Remote Work Allowance for your home office setup!
? 23 holidays, your birthday off, and December 24th and 31st half days to celebrate!
? Regular team events and Thursday happy hours
And much more!
At IDOVEN, we believe in hiring top talented people like you - ambitious, forward thinkers who want to make a difference in the world and have an impact.
