Team Lead - Alzevita

Position Overview

Team Leader

Key Responsibilities

Leadership & Team Management

• Lead, mentor, and manage a multidisciplinary team of researchers and engineers.
• Define project goals, timelines, and deliverables, ensuring alignment with organizational objectives.
• Foster a collaborative, innovative, and high-performance culture.

Research & Development

• Design, implement, and optimize

  deep learning and computer vision algorithms

  for tasks such as detection, segmentation, tracking, and recognition.
• Drive innovation in

  image analysis, medical imaging, industrial vision, and AI-powered automation

  .
• Stay updated with the latest trends, tools, and publications in AI and vision technologies.

• Project Execution

• Translate business/clinical/industrial needs into AI-based solutions.
• Oversee end-to-end pipeline:

  data acquisition, preprocessing, model training, evaluation, and deployment

  .
• Ensure robustness, scalability, and compliance with regulatory or domain-specific standards (e.g., FDA for Software as a Medical Devices)

Collaboration & Communication

• Work closely with cross-functional teams (data science, software, product, hardware).
• Present results to stakeholders, prepare technical reports, and support publications/patent filings.
• Represent the team in conferences, client meetings, and technical collaborations.

Required Qualifications

• Master’s or PhD in

  Computer Science & Engineering, Biomedical Engineering, or related fields

  .

• 5–10+ years of experience

  in image processing, computer vision, and deep learning, with at least

  2+ years in a leadership/mentorship role

  .
• Strong track record in developing and deploying

  deep learning models (Unets, CNNs, Transformers, GANs, etc.)

  .
• Proficiency in

  Python, PyTorch, TensorFlow, OpenCV, DICOM, NIfTY and related libraries

  .
• Experience with

  MLOps, cloud platforms (AWS/Azure/GCP), and model optimization (quantization, pruning)

  .
• Strong publication/patent record (for R&D roles) or deployment history (for industry roles).

Preferred Skills

• Experience in

  medical imaging, autonomous systems, robotics, or industrial inspection

  .
• Knowledge of

  regulatory frameworks

  (e.g., FDA, CE Marking for SaMD).
• Strong understanding of

  data management, annotation strategies, and synthetic data generation

  .
• Excellent problem-solving, communication, and stakeholder management skills.

What We Offer

• Opportunity to lead impactful projects at the intersection of

  AI and vision technologies

  .
• Access to cutting-edge computational resources and datasets.
• Competitive salary, performance incentives, and career growth opportunities.
• Collaborative, innovation-driven work environment.