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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro location, broad ML generalist skills, and a popular mid-level AI role increase competition.
Core ML/AI skills are highly transferable across industries despite a financial-services advantage.
Explicit 2+ years and mandatory production AI/ML delivery produce moderate filtering on applicants.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy AI-driven digital solutions including AI/ML systems, LLMs, NLP, computer vision, and predictive analytics.
Provide technical leadership to developers and data scientists ensuring project delivery within scope, budget, quality, and timelines.
Collaborate with business stakeholders to gather requirements, drive innovation, and maintain best practices in software development, security, scalability, and compliance.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Minimum 2 years’ experience delivering AI projects from concept to production.
Proficiency in Python, Java, or C++ and experience with frameworks like TensorFlow, PyTorch, scikit-learn, Keras, LLMs, transfer learning, and AWS Bedrock.
Work Experience Required: At least 2 years specifically in AI project delivery as per JD; Notice Period: Not explicitly mentioned.
Ideal Candidate Profile
Experienced in end-to-end AI solution delivery and technical leadership within Agile/Scrum environments.
Strong technical skillset spanning AI, ML, reinforcement learning, NLP, cloud computing, big data, and IoT integration.
Comfortable communicating complex AI concepts to technical and non-technical stakeholders with some exposure to AWS or Azure AI certifications and working with global teams or financial sectors.