Develop and implement machine learning and AI models under guidance.
Perform data collection, cleaning, preprocessing, and feature engineering.
Train, test, and evaluate ML algorithms (regression, classification, clustering).
Assist in building AI applications such as chatbots, recommendation systems, or automation tools.
Support model deployment and monitoring in production environments.
Prepare technical documentation and reports.
Follow coding standards, data privacy, and security guidelines.
Design and develop end-to-end AI solutions independently.
Optimize models for accuracy, performance, and scalability.
Work with stakeholders to translate business requirements into AI use cases.
Deploy and manage AI models using cloud or on-prem infrastructure.
Troubleshoot production issues and ensure model reliability.
Mentor junior AI team members and review code/models.
Contribute to AI strategy, tool selection, and best practices.
Competitive fixed salary
Performance-based incentives / annual bonus
Spot awards or innovation bonuses (project-based)
Stock options / ESOPs (mainly in startups and product companies)
Medical insurance (employee + dependents)
Accident and life insurance
Annual health check-ups
Paid annual / earned leave
Casual and sick leave
Public holidays
Flexible working hours
Remote / hybrid work options (role & company dependent)
Sponsored AI / ML certifications and online courses
Access to platforms like Coursera, Udemy, Pluralsight
Participation in AI conferences, workshops, hackathons
Continuous learning on new AI tools, frameworks, and GenAI
Clear career progression to AI Engineer, Data Scientist, or Lead roles
Ajanta Pharma's board is supported by several committees, each focusing on specific areas to ensure effective governance: Audit Committee: Oversees financial reporting, internal controls, and audit processes. Stakeholders’ Relationship Commit... Read More