Key Responsibilities :
Data Handling & Analysis :
- Collect, preprocess, and analyze large volumes of structured and unstructured data.
- Ensure data quality, integrity, and compliance with industry standards.
AI Model Design & Deployment :
Design, build, and implement AI / ML models to automate tasks, generate actionable insights, and support intelligent decision-making.Develop end-to-end AI pipelines - from data ingestion to model deployment and monitoring.Work with technologies such as Python, TensorFlow, PyTorch, Scikit-learn, NLP libraries, etc.Advisory & Support for AI Applications :
Provide strategic guidance on the use of AI in daily operations.Collaborate with stakeholders to identify AI opportunities and support digital transformationinitiatives.
Ensure AI systems are scalable, explainable, and aligned with business goals.Qualifications & Skills :
Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related field.3 - 7 years of relevant industry experience in AI / ML development and data science.Proficient in machine learning, deep learning, NLP, and AI model lifecycle management.Strong analytical mindset with hands-on experience in data wrangling, visualization, andstorytelling.
Ability to communicate technical concepts clearly to non-technical stakeholders.Familiarity with cloud-based AI platforms (AWS / GCP / Azure) is a plus.Preferred Attributes :
Self-motivated with a passion for solving complex problems.Team player with the ability to work independently when needed.Eagerness to stay updated with emerging trends in AI and data science.(ref : hirist.tech)