IN_Senior Associate_AI/ML Engineer_Data Analytics_Advisory_Mumbai
PwC IndiaMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessStrong Tier-1 brand, mid-level ML role, metro location, and common experience band increase competition.
Core ML, cloud, and GenAI skills are transferable but preferred enterprise domain experience raises sensitivity slightly.
Explicit 3+ years, mandatory ML stack, cloud and specialized GenAI skills make filters strict.
Job Description
Structured overview of role & requirementsAbout This Role
Build and deploy machine learning models including classification, regression, NLP, and computer vision use cases.
Collaborate with data engineers to develop data pipelines and integrate AI/ML models into production systems.
Develop and deploy AI solutions on cloud platforms (Azure, AWS, GCP) using MLOps and containerization, delivering projects to clients in the AI/ML space.
Minimum Requirements
3+ years of experience in AI/ML engineering with cloud environment exposure.
Proficiency in Python, PyTorch or TensorFlow, and GenAI/Agentic frameworks.
Experience with cloud-native AI services like Azure ML, AWS SageMaker, or GCP Vertex AI.
Bachelor's degree in Engineering (BE, B.Tech) or equivalent; 60% and above marks.
Ideal Candidate Profile
Experience delivering enterprise-grade AI use cases in BFSI, healthcare, retail, or manufacturing sectors.
Familiarity with advanced AI concepts such as autonomous agents, multi-agent systems, and orchestration.
Certifications in cloud platforms and AI/ML technologies, with knowledge of Responsible AI and data governance frameworks.