Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Popular Data Scientist title and Pune metro location increase applicant density despite some GenAI specialization.
ML and GenAI skills are broadly transferable across industries with low domain-specific dependency.
Explicit 1–3 years requirement plus mandatory ML, Python, and GenAI/MLOps skills create moderate shortlisting filters.
Develop and deploy machine learning models, including supervised and unsupervised learning algorithms, with focus on AI and Generative AI solutions such as chatbots, LLMs, and RAG systems.
Execute rapid prototypes and build Minimum Viable Products (MVPs) for AI/ML projects, ensuring integration with enterprise applications alongside AI Engineers.
Handle data preprocessing, exploratory data analysis, and continuously evaluate and optimize model performance, addressing issues like bias and hallucinations in GenAI outputs.
Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.
1-3 years of experience in data science, machine learning, or AI-related roles.
Proficiency in Python and SQL; familiar with ML frameworks/libraries like scikit-learn, TensorFlow, or PyTorch.
Experience or exposure to GenAI technologies including LLMs and chatbot development is a plus, but not mandatory.
Candidate with hands-on experience in ML model development and deployment, particularly with GenAI solutions.
Comfortable working in collaborative, cross-functional teams with AI engineers and leads to align projects with business needs.
Experience or keen interest in emerging AI technologies with ability to rapidly prototype and build MVPs in a fast-paced environment.