Back
Mid-level generalist ML/AI role with broad skills and popular title attracts high applicant density.
Core ML/AI and data science skills are broadly transferable across industries with low domain specificity.
Explicit 3–4 years plus mandatory Python/ML/SQL skills create moderately strict shortlisting filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own end-to-end development, training, deployment, and improvement of machine learning and predictive models to drive business solutions.
Analyze large structured and unstructured datasets to extract actionable insights and identify trends or business opportunities.
Collaborate closely with business stakeholders and data engineering teams to translate requirements into scalable data science solutions and visualizations.
3–4 years of experience in Data Science, Machine Learning, or Advanced Analytics.
Strong proficiency in Python and experience with libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Jupyter Notebook.
Experience with SQL and database querying; knowledge of data preprocessing and handling large datasets.
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, AI, Engineering, or related field.
Experienced practitioner comfortable building various models including forecasting, classification, clustering, recommendation, and anomaly detection to solve complex problems.
Familiar with AI and Generative AI concepts, potentially with knowledge of advanced topics like LLMs, NLP, and cloud AI services.
Capable of collaborating with cross-functional teams, including business and data engineering, to deliver scalable analytical and data pipeline solutions.