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Protocol Intelligence
Data-driven signals on your job's competitivenessSenior, niche ML leadership reduces competition despite metro location.
Advanced ML leadership skills are transferable across industries, though automotive platform context increases specificity.
Explicit 12+ years, 3+ management years, and technical mandates create stringent shortlisting.
Job Description
Structured overview of role & requirementsAbout This Role
Lead and manage a team of 5-8 applied scientists, including mentoring and establishing career development paths.
Drive AI/ML product development and customer engagements to deliver high-quality, scalable solutions on cloud-native platforms.
Oversee ML lifecycle and technical leadership, aligning R&D and product roadmap with business goals.
Minimum Requirements
12+ years of hands-on experience in analytics, data science, and deep learning in business-critical environments.
3+ years managing teams of 5 or more, preferably in applied science or cross-functional settings.
Bachelor’s, Master’s, or Ph.D. in Data Science, Mathematics, Operations Research, Applied Mathematics, Computational Science, or related field.
Proficient in Python, SQL, deep learning frameworks (TensorFlow, Keras, PyTorch), and cloud platforms (AWS, GCP, Azure).
Ideal Candidate Profile
Experienced in leading scalable AI/ML solutions development and team delivery within cloud-native environments.
Strong in aligning AI/ML initiatives with business priorities and collaborating across product, business, and engineering teams.
Demonstrated expertise in advanced ML techniques including deep learning, computer vision, NLP, and explainable AI with proven impact on business outcomes.