Back
Mid-level ML/data science role at PwC in Bangalore with popular title and broad skills, very competitive.
Specialized ML/GenAI and MLOps skills are transferable across industries but consultancy domain knowledge also matters.
Explicit 5–8 years plus mandatory ML/GenAI, Python and MLOps requirements, strict shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop, train, and deploy machine learning and deep learning models using Python, GenAI, and cloud platforms (Azure/AWS/GCP).
Design and manage prompt-based models on large language models (LLMs) for NLP tasks including building scalable data pipelines for prompt engineering.
Implement MLOps practices including Dockerization, REST APIs, CI/CD processes, and maintain version control for collaborative code development.
5-8 years of work experience in data science and machine learning roles.
Proficient in Python programming, GenAI, and machine learning techniques with hands-on experience in MLOps and cloud ML model deployment.
Bachelor's or Master's degree in Engineering (B.Tech, M.Tech) or related fields (MCA, BCA).
Strong experience with data preprocessing, statistical and machine learning models, big data platforms (Hadoop, Elasticsearch), and database/query languages (SQL, Hive).
Experienced in adapting foundational models and large language models (LLMs) to solve business problems with a strong understanding of the domain to translate business issues into data science solutions.
Comfortable working in cloud and distributed computing environments and skilled at building scalable, automated data pipelines and workflows for NLP and machine learning tasks.
Ability to communicate effectively with both technical and non-technical stakeholders and maintain high code quality standards using version control and collaborative development practices.