Jr, ML Engineer
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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong brand, metro location, sought-after ML skillset and seniority yield moderate applicant competition.
Core ML engineering skills transfer across industries, though banking governance and RAI needs increase specificity.
Explicit 6–10 years, master's plus certifications, domain tools and leadership make filters stringent.
Job Description
Structured overview of role & requirementsAbout This Role
Lead AI/ML delivery squad to design, develop, deploy, and monitor machine learning models addressing business requirements.
Manage team assignments, mentor, and build scalable ML solutions while overseeing model performance and improvements post-deployment.
Coordinate with stakeholders, run project governance calls, and ensure delivery commitments are met on time with risk mitigation and compliance adherence.
Minimum Requirements
Master’s degree specialized in Technology with AI and ML certification.
6-10 years hands-on experience in developing and delivering AI/ML solutions.
Strong proficiency in ML frameworks (TensorFlow, PyTorch) and programming languages including Python, Java, or C/C++.
Work location: Chennai, India; Employment type: Permanent, Office working.
Ideal Candidate Profile
Proven experience leading AI/ML delivery teams in enterprise environments with responsibility for end-to-end project delivery and risk management.
Skilled in applying advanced ML techniques (NLP, Computer Vision, deep learning) to large unstructured datasets with strong analytical and problem-solving abilities.
Experienced in stakeholder management and cross-functional collaboration across engineering, product, design, and infrastructure teams.